Initial rrweb SGrobot skill package

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.DS_Store

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---
name: rrweb-sgrobot-adapter
description: Generate SGrobot-compatible PlanTemplate.toml and runtime SKILL.toml artifacts from rrweb semantic traces. Use when adapting recorded browser workflows, rrweb traces, semantic-trace JSON, or browser automation recordings for SGrobot/sgclaw plan_templates and .sgclaw-workspace skills without changing SGrobot core.
---
# RRWeb SGrobot Adapter
Use this skill to turn one rrweb semantic trace into SGrobot runtime artifacts:
```text
plan_templates/<flow>/PlanTemplate.toml
.sgclaw-workspace/skills/<flow>-execute/SKILL.toml
.sgclaw-workspace/skills/<flow>-execute/scripts/execute_trace.js
.sgclaw-workspace/skills/<flow>-execute/trace.semantic.json
```
Do not treat `SKILL.md` as the SGrobot runtime artifact. In SGrobot:
- `PlanTemplate.toml` is the user-facing business task orchestration.
- `.sgclaw-workspace/skills/**/SKILL.toml` is the executable runtime skill.
- `.agents/skills/**/SKILL.md` is only an agent/Codex helper.
## Workflow
1. Read the semantic trace JSON and confirm it has `id`, `name`, `startUrl`, and non-empty `steps`.
2. Read [references/sgrobot-adapter.md](references/sgrobot-adapter.md) when you need SGrobot mapping details.
3. Generate artifacts with:
```bash
node scripts/generate_sgrobot_flow.mjs \
--trace examples/basic-trace.json \
--out /path/to/sgrobot-architecture-design \
--default-mode dry-run
```
Use `--default-mode execute` only when the user explicitly wants the generated skill to mutate the target page. Generated execute-mode plans set `requires_approval = true` when the trace includes mutating actions.
4. Inspect the generated `PlanTemplate.toml` and `SKILL.toml` before handing off. The plan step `skills = ["..."]` must match the generated `[skill].name`.
5. In a live SGrobot repo, verify `/api/debug/plans` sees the plan and `/api/skill` sees the skill before running the digital employee task.
## Trace Shape
Minimal trace:
```json
{
"id": "expense-approval",
"name": "费用审批",
"description": "打开审批页,填写意见并点击同意。",
"startUrl": "https://oa.example.test/expense/123",
"steps": [
{ "type": "assertText", "text": "费用审批", "label": "确认在审批页" },
{ "type": "fill", "selector": "textarea[name='comment']", "value": "同意", "label": "填写审批意见" },
{ "type": "click", "selector": "button[data-action='approve']", "label": "点击同意", "risk": "write" }
]
}
```
Supported first-version action types are `assertText`, `extractText`, `click`, `fill`, `input`, `type`, `select`, `check`, `uncheck`, and `submit`. Prefer stable CSS selectors; XPath is supported with `xpath=` or leading `//`.

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# SGrobot Adapter Implementation Plan
> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking.
**Goal:** Build a reusable generator that turns one rrweb semantic trace into SGrobot-compatible `PlanTemplate.toml` and runtime `SKILL.toml` artifacts without changing SGrobot core.
**Architecture:** Keep this repository as a Codex skill plus deterministic generator. The generator writes one business-specific plan and one business-specific sgBrowser runtime skill per recording, with the semantic trace baked into the generated page script and saved beside it as evidence.
**Tech Stack:** Node.js ESM, `node:test`, SGrobot `PlanTemplate.toml`, SGrobot runtime `SKILL.toml`, sgBrowser `sgBrowserExcuteJsCodeByDomain`.
---
### Task 1: Generator Contract
**Files:**
- Create: `tests/generate_sgrobot_flow.test.mjs`
- Create: `scripts/generate_sgrobot_flow.mjs`
- Create: `package.json`
- [ ] **Step 1: Write the failing tests**
```js
import { test } from "node:test";
import assert from "node:assert/strict";
import { mkdtemp, readFile, rm } from "node:fs/promises";
import { tmpdir } from "node:os";
import path from "node:path";
import { generateSgRobotArtifacts, writeArtifacts } from "../scripts/generate_sgrobot_flow.mjs";
const trace = {
id: "expense-approval",
name: "费用审批",
description: "打开审批页,填写意见并点击同意。",
startUrl: "https://oa.example.test/expense/123",
steps: [
{ type: "assertText", text: "费用审批", label: "确认在审批页" },
{ type: "fill", selector: "textarea[name='comment']", value: "同意", label: "填写审批意见" },
{ type: "click", selector: "button[data-action='approve']", label: "点击同意", risk: "write" }
]
};
test("generates SGrobot plan and runtime skill artifacts", () => {
const result = generateSgRobotArtifacts(trace, { defaultMode: "execute" });
assert.equal(result.summary.planId, "rrweb-expense-approval");
assert.equal(result.summary.skillName, "rrweb-expense-approval-execute");
assert.equal(result.summary.requiresApproval, true);
assert.equal(result.files.get("plan_templates/rrweb-expense-approval/PlanTemplate.toml").includes('skills = ["rrweb-expense-approval-execute"]'), true);
assert.equal(result.files.get(".sgclaw-workspace/skills/rrweb-expense-approval-execute/SKILL.toml").includes('command = "sgBrowserExcuteJsCodeByDomain"'), true);
assert.equal(result.files.get(".sgclaw-workspace/skills/rrweb-expense-approval-execute/SKILL.toml").includes('expected_domain = "oa.example.test"'), true);
assert.equal(result.files.get(".sgclaw-workspace/skills/rrweb-expense-approval-execute/scripts/execute_trace.js").includes('"default_mode": "execute"'), true);
});
test("writes generated artifacts under a SGrobot repository root", async () => {
const root = await mkdtemp(path.join(tmpdir(), "rrweb-sgrobot-"));
try {
const result = generateSgRobotArtifacts(trace);
await writeArtifacts(root, result.files);
const plan = await readFile(path.join(root, "plan_templates/rrweb-expense-approval/PlanTemplate.toml"), "utf8");
const skill = await readFile(path.join(root, ".sgclaw-workspace/skills/rrweb-expense-approval-execute/SKILL.toml"), "utf8");
const evidence = await readFile(path.join(root, ".sgclaw-workspace/skills/rrweb-expense-approval-execute/trace.semantic.json"), "utf8");
assert.match(plan, /skills = \["browser\.open_url"\]/);
assert.match(skill, /script_path = "scripts\/execute_trace.js"/);
assert.equal(JSON.parse(evidence).id, "expense-approval");
} finally {
await rm(root, { recursive: true, force: true });
}
});
```
- [ ] **Step 2: Run test to verify it fails**
Run: `node --test tests/generate_sgrobot_flow.test.mjs`
Expected: FAIL with `Cannot find module '../scripts/generate_sgrobot_flow.mjs'`.
- [ ] **Step 3: Implement the generator**
Create `scripts/generate_sgrobot_flow.mjs` exporting `generateSgRobotArtifacts(trace, options)` and `writeArtifacts(root, files)`. The generator must validate `id`, `name`, `startUrl`, and `steps`, derive `expected_domain` from `startUrl`, emit SGrobot paths, and support `defaultMode` of `dry-run` or `execute`.
- [ ] **Step 4: Add package metadata**
Create `package.json` with:
```json
{
"name": "rrweb-sgrobot-skill",
"version": "0.1.0",
"type": "module",
"private": true,
"scripts": {
"test": "node --test tests/*.test.mjs",
"generate:sgrobot": "node scripts/generate_sgrobot_flow.mjs"
}
}
```
- [ ] **Step 5: Run test to verify it passes**
Run: `npm test`
Expected: PASS with both generator tests green.
### Task 2: Codex Skill Wrapper
**Files:**
- Create: `SKILL.md`
- Create: `references/sgrobot-adapter.md`
- Create: `examples/basic-trace.json`
- [ ] **Step 1: Write the skill instructions**
Create a concise `SKILL.md` that tells Codex to use `scripts/generate_sgrobot_flow.mjs` when adapting rrweb semantic traces for SGrobot. It must state that `.agents/skills/**/SKILL.md` is only an agent helper, while SGrobot runtime artifacts are `PlanTemplate.toml` and `.sgclaw-workspace/skills/**/SKILL.toml`.
- [ ] **Step 2: Add focused SGrobot mapping reference**
Create `references/sgrobot-adapter.md` with the SGrobot-specific mapping rules: one generated plan per recording, one generated runtime skill per recording, `browser.open_url` first, generated sgBrowser execution skill second, optional `json.save_result` third, and step-level approval when execute mode includes mutating actions.
- [ ] **Step 3: Add a realistic example trace**
Create `examples/basic-trace.json` using the same schema covered by the test: `id`, `name`, `description`, `startUrl`, and `steps`.
- [ ] **Step 4: Validate the skill folder**
Run: `python3 /Users/zhaoyilun/.codex/skills/.system/skill-creator/scripts/quick_validate.py /Users/zhaoyilun/Documents/rrweb-skill`
Expected: PASS.
### Task 3: Verification Against SGrobot Shape
**Files:**
- Read-only check: `/Users/zhaoyilun/projects/sgrobot-architecture-design/docs/concepts/skill-and-plan-template.md`
- Read-only check: `/Users/zhaoyilun/projects/sgrobot-architecture-design/docs/how-to/add-skill.md`
- [ ] **Step 1: Generate sample output to a temp directory**
Run: `node scripts/generate_sgrobot_flow.mjs --trace examples/basic-trace.json --out /tmp/rrweb-sgrobot-sample --default-mode dry-run --force`
Expected: the command prints paths for the plan, skill, runtime script, and trace evidence.
- [ ] **Step 2: Inspect generated files**
Run: `find /tmp/rrweb-sgrobot-sample -type f | sort`
Expected: files exist under `plan_templates/rrweb-expense-approval/` and `.sgclaw-workspace/skills/rrweb-expense-approval-execute/`.
- [ ] **Step 3: Re-run tests**
Run: `npm test`
Expected: PASS.

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{
"id": "expense-approval",
"name": "费用审批",
"description": "打开审批页,填写意见并点击同意。",
"startUrl": "https://oa.example.test/expense/123",
"steps": [
{
"type": "assertText",
"text": "费用审批",
"label": "确认在审批页"
},
{
"type": "fill",
"selector": "textarea[name='comment']",
"value": "同意",
"label": "填写审批意见"
},
{
"type": "click",
"selector": "button[data-action='approve']",
"label": "点击同意",
"risk": "write"
}
]
}

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<!doctype html>
<html lang="zh-CN">
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<link rel="icon" href="data:," />
<title>客户回访工单登记</title>
<style>
:root {
color-scheme: light;
font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif;
background: #eef2f6;
color: #1f2937;
}
body {
margin: 0;
padding: 32px;
}
main {
max-width: 920px;
margin: 0 auto;
background: #ffffff;
border: 1px solid #d7dee8;
border-radius: 8px;
box-shadow: 0 12px 34px rgba(31, 41, 55, 0.08);
}
header {
padding: 24px 28px;
border-bottom: 1px solid #e3e8ef;
}
h1 {
margin: 0 0 8px;
font-size: 24px;
}
.meta {
display: grid;
grid-template-columns: repeat(3, 1fr);
gap: 12px;
padding: 20px 28px;
background: #f8fafc;
border-bottom: 1px solid #e3e8ef;
}
.meta div,
label {
font-size: 14px;
}
.meta strong {
display: block;
margin-top: 4px;
font-size: 16px;
}
form {
padding: 24px 28px 28px;
}
.field {
margin-bottom: 18px;
}
select,
textarea {
width: 100%;
box-sizing: border-box;
margin-top: 8px;
border: 1px solid #cbd5e1;
border-radius: 6px;
padding: 10px 12px;
font: inherit;
}
textarea {
min-height: 96px;
resize: vertical;
}
.actions {
display: flex;
justify-content: flex-end;
gap: 12px;
margin-top: 24px;
}
button {
border: 0;
border-radius: 6px;
padding: 10px 18px;
font: inherit;
cursor: pointer;
}
button.secondary {
background: #e5e7eb;
color: #111827;
}
button.primary {
background: #166534;
color: #ffffff;
}
#status {
margin-top: 16px;
color: #166534;
font-weight: 600;
}
</style>
</head>
<body>
<main>
<header>
<h1>客户回访工单登记</h1>
<p>低压故障抢修完成后,客服需要登记一次客户回访结果。</p>
</header>
<section class="meta" aria-label="工单概要">
<div>工单编号<strong>GD-20260612-0421</strong></div>
<div>客户姓名<strong>李女士</strong></div>
<div>回访任务<strong>待处理</strong></div>
</section>
<form id="callback-form">
<div class="field">
<label for="result">回访结果</label>
<select id="result" name="callbackResult" data-trace="callback-result">
<option value="">请选择</option>
<option value="satisfied">客户满意,问题已解决</option>
<option value="follow-up">仍需跟进</option>
<option value="unreachable">暂未接通</option>
</select>
</div>
<div class="field">
<label for="remark">回访备注</label>
<textarea id="remark" name="remark" data-trace="callback-remark" placeholder="请输入回访备注"></textarea>
</div>
<div class="actions">
<button type="button" class="secondary" data-action="cancel">取消</button>
<button type="submit" class="primary" data-action="save-draft">保存草稿</button>
</div>
<div id="status" role="status" aria-live="polite"></div>
</form>
</main>
<script>
window.__semanticTrace = {
id: "customer-callback-draft",
name: "客户回访工单登记",
description: "客服打开待回访工单,选择客户满意,填写回访备注,并保存草稿。",
startUrl: window.location.href,
steps: [
{ type: "assertText", text: "客户回访工单登记", label: "确认进入客户回访工单页面" }
]
};
const trace = window.__semanticTrace.steps;
function selectorFor(node) {
if (node.dataset && node.dataset.trace) {
return `[data-trace="${node.dataset.trace}"]`;
}
if (node.dataset && node.dataset.action) {
return `[data-action="${node.dataset.action}"]`;
}
if (node.id) {
return `#${node.id}`;
}
return node.tagName.toLowerCase();
}
document.querySelector("select").addEventListener("change", (event) => {
trace.push({
type: "select",
selector: selectorFor(event.target),
value: event.target.value,
label: "选择回访结果"
});
});
document.querySelector("textarea").addEventListener("change", (event) => {
trace.push({
type: "fill",
selector: selectorFor(event.target),
value: event.target.value,
label: "填写回访备注"
});
});
document.getElementById("callback-form").addEventListener("submit", (event) => {
event.preventDefault();
trace.push({
type: "click",
selector: '[data-action="save-draft"]',
label: "点击保存草稿",
risk: "write"
});
document.getElementById("status").textContent = "草稿已保存,等待班长复核。";
});
</script>
</body>
</html>

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{
"id": "customer-callback-draft",
"name": "客户回访工单登记",
"description": "客服打开待回访工单,选择客户满意,填写回访备注,并保存草稿。",
"startUrl": "http://127.0.0.1:4187/customer-callback.html",
"steps": [
{
"type": "assertText",
"text": "客户回访工单登记",
"label": "确认进入客户回访工单页面"
},
{
"type": "select",
"selector": "[data-trace=\"callback-result\"]",
"value": "satisfied",
"label": "选择回访结果"
},
{
"type": "fill",
"selector": "[data-trace=\"callback-remark\"]",
"value": "已电话回访客户,现场供电恢复正常,客户确认满意。",
"label": "填写回访备注"
},
{
"type": "click",
"selector": "[data-action=\"save-draft\"]",
"label": "点击保存草稿",
"risk": "write"
}
]
}

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[skill]
name = "rrweb-customer-callback-draft-execute"
description = "Run the generated rrweb semantic trace for 客户回访工单登记 through sgBrowser."
version = "0.1.0"
author = "rrweb-skill"
tags = ["rrweb", "semantic-trace", "sgbrowser-action", "generated"]
prompts = [
"Use rrweb-customer-callback-draft-execute only for the generated 客户回访工单登记 browser flow.",
"Run it after browser.open_url has opened the target page.",
"Return the structured JSON evidence emitted by the tool; do not use Playwright, CDP, or generic browser_action for this step."
]
[[tools]]
name = "execute_trace"
description = "Replay or dry-run the generated 客户回访工单登记 semantic trace in sgBrowser."
kind = "sgbrowser_action"
command = "sgBrowserExcuteJsCodeByDomain"
expected_domain = "127.0.0.1"
[tools.args]
script_path = "scripts/execute_trace.js"
mode = "Baked default mode is execute. Runtime may pass mode=execute or mode=dry-run if supported."

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const TRACE = {
"id": "customer-callback-draft",
"name": "客户回访工单登记",
"start_url": "http://127.0.0.1:4187/customer-callback.html",
"expected_domain": "127.0.0.1",
"default_mode": "execute",
"actions": [
{
"type": "assertText",
"text": "客户回访工单登记",
"label": "确认进入客户回访工单页面"
},
{
"type": "select",
"selector": "[data-trace=\"callback-result\"]",
"value": "satisfied",
"label": "选择回访结果"
},
{
"type": "fill",
"selector": "[data-trace=\"callback-remark\"]",
"value": "已电话回访客户,现场供电恢复正常,客户确认满意。",
"label": "填写回访备注"
},
{
"type": "click",
"selector": "[data-action=\"save-draft\"]",
"label": "点击保存草稿",
"risk": "write"
}
]
};
const input =
(typeof args === "object" && args) ||
(typeof tool_args === "object" && tool_args) ||
(typeof sgclaw_args === "object" && sgclaw_args) ||
{};
function normalizeMode(value) {
const raw = String(value || TRACE.default_mode || "dry-run").trim().toLowerCase();
return raw === "execute" ? "execute" : "dry-run";
}
function normalizeType(value) {
return String(value || "").replace(/[\s_-]+/g, "").toLowerCase();
}
function cleanText(value) {
return String(value || "").replace(/\s+/g, " ").trim();
}
function selectorList(action) {
const selectors = [];
if (action.selector) {
selectors.push(action.selector);
}
if (Array.isArray(action.selectors)) {
for (const selector of action.selectors) {
if (selector) {
selectors.push(selector);
}
}
}
return selectors;
}
function findByXPath(xpath) {
try {
return document.evaluate(xpath, document, null, XPathResult.FIRST_ORDERED_NODE_TYPE, null).singleNodeValue;
} catch (_) {
return null;
}
}
function findByText(text) {
const needle = cleanText(text);
if (!needle) {
return null;
}
const candidates = Array.from(document.querySelectorAll("button,a,input,textarea,select,[role='button'],[role='link'],label"));
return candidates.find((node) => cleanText(node.innerText || node.value || node.getAttribute("aria-label") || node.textContent).includes(needle)) || null;
}
function findElement(action) {
for (const rawSelector of selectorList(action)) {
const selector = String(rawSelector).trim();
if (!selector) {
continue;
}
if (selector.startsWith("xpath=")) {
const node = findByXPath(selector.slice("xpath=".length));
if (node) {
return node;
}
continue;
}
if (selector.startsWith("//") || selector.startsWith("(//")) {
const node = findByXPath(selector);
if (node) {
return node;
}
continue;
}
try {
const node = document.querySelector(selector);
if (node) {
return node;
}
} catch (_) {
continue;
}
}
return findByText(action.text || action.label);
}
function describeElement(node) {
if (!node) {
return null;
}
return {
tag: String(node.tagName || "").toLowerCase(),
id: node.id || "",
name: node.getAttribute ? node.getAttribute("name") || "" : "",
text: cleanText(node.innerText || node.value || node.textContent).slice(0, 120),
};
}
function dispatchFieldEvents(node) {
node.dispatchEvent(new Event("input", { bubbles: true }));
node.dispatchEvent(new Event("change", { bubbles: true }));
}
function runAction(action, index, shouldExecute) {
const type = normalizeType(action.type);
const result = {
index,
type: action.type,
label: action.label || "",
mode: shouldExecute ? "execute" : "dry-run",
ok: true,
};
if (type === "asserttext" || type === "waitfortext") {
const needle = cleanText(action.text || action.value);
const haystack = cleanText(document.body ? document.body.innerText : document.documentElement.textContent);
result.ok = needle ? haystack.includes(needle) : false;
result.expected_text = needle;
return result;
}
if (type === "extracttext") {
const target = findElement(action) || document.body || document.documentElement;
result.text = cleanText(target.innerText || target.textContent).slice(0, Number(action.max_chars || 2000));
result.element = describeElement(target);
return result;
}
const element = findElement(action);
result.element = describeElement(element);
if (!element) {
result.ok = false;
result.error = "target element not found";
return result;
}
if (type === "click" || type === "submit") {
if (shouldExecute) {
element.scrollIntoView({ block: "center", inline: "center" });
if (typeof element.focus === "function") {
element.focus();
}
if (type === "submit" && element.form) {
element.form.requestSubmit ? element.form.requestSubmit() : element.form.submit();
} else {
element.click();
}
}
return result;
}
if (type === "fill" || type === "input" || type === "type") {
result.value = action.value;
if (shouldExecute) {
element.focus && element.focus();
element.value = String(action.value);
dispatchFieldEvents(element);
}
return result;
}
if (type === "select") {
result.value = action.value;
if (shouldExecute) {
element.value = String(action.value);
dispatchFieldEvents(element);
}
return result;
}
if (type === "check" || type === "uncheck") {
result.checked = type === "check";
if (shouldExecute) {
element.checked = type === "check";
dispatchFieldEvents(element);
}
return result;
}
result.ok = false;
result.error = "unsupported action type";
return result;
}
const mode = normalizeMode(input.mode || input.execution_mode || input.executionMode);
const shouldExecute = mode === "execute";
const actionResults = [];
let ok = true;
for (let index = 0; index < TRACE.actions.length; index += 1) {
const actionResult = runAction(TRACE.actions[index], index, shouldExecute);
actionResults.push(actionResult);
if (!actionResult.ok) {
ok = false;
break;
}
}
return JSON.stringify({
ok,
trace_id: TRACE.id,
trace_name: TRACE.name,
mode,
executed: shouldExecute,
expected_domain: TRACE.expected_domain,
url: window.location.href,
title: document.title || "",
action_count: TRACE.actions.length,
action_results: actionResults,
finished_at: new Date().toISOString(),
});

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{
"id": "customer-callback-draft",
"name": "客户回访工单登记",
"description": "客服打开待回访工单,选择客户满意,填写回访备注,并保存草稿。",
"startUrl": "http://127.0.0.1:4187/customer-callback.html",
"steps": [
{
"type": "assertText",
"text": "客户回访工单登记",
"label": "确认进入客户回访工单页面"
},
{
"type": "select",
"selector": "[data-trace=\"callback-result\"]",
"value": "satisfied",
"label": "选择回访结果"
},
{
"type": "fill",
"selector": "[data-trace=\"callback-remark\"]",
"value": "已电话回访客户,现场供电恢复正常,客户确认满意。",
"label": "填写回访备注"
},
{
"type": "click",
"selector": "[data-action=\"save-draft\"]",
"label": "点击保存草稿",
"risk": "write"
}
]
}

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[plan]
id = "rrweb-customer-callback-draft"
name = "客户回访工单登记"
description = "客服打开待回访工单,选择客户满意,填写回访备注,并保存草稿。"
version = "1.0.0"
[plan.trigger]
kind = "manual"
[[plan.steps]]
id = "open-target-page"
title = "Open target page"
description = "Call browser.open_url to open http://127.0.0.1:4187/customer-callback.html."
skills = ["browser.open_url"]
depends_on = []
[[plan.steps]]
id = "run-recorded-flow"
title = "Run recorded browser flow"
description = "Execute the generated rrweb semantic trace through sgBrowser on 127.0.0.1. Default mode: execute."
skills = ["rrweb-customer-callback-draft-execute"]
depends_on = ["open-target-page"]
requires_approval = true
[[plan.steps]]
id = "save-result"
title = "Save structured result"
description = "Save the generated flow result as a structured JSON artifact."
skills = ["json.save_result"]
depends_on = ["run-recorded-flow"]

10
package.json Normal file
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{
"name": "rrweb-sgrobot-skill",
"version": "0.1.0",
"type": "module",
"private": true,
"scripts": {
"test": "node --test tests/*.test.mjs",
"generate:sgrobot": "node scripts/generate_sgrobot_flow.mjs"
}
}

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# SGrobot Adapter Reference
## Boundary
SGrobot uses two runtime artifact families:
- `plan_templates/<task>/PlanTemplate.toml`: business orchestration, selectable as a digital employee task.
- `.sgclaw-workspace/skills/<skill>/SKILL.toml`: atomic runtime capability loaded by Skill Catalog.
The Codex-facing `SKILL.md` in this repository only teaches an agent how to generate those artifacts.
## Generated Flow Shape
For each rrweb semantic trace, generate one business-specific package:
```text
plan_templates/rrweb-<flow>/PlanTemplate.toml
.sgclaw-workspace/skills/rrweb-<flow>-execute/SKILL.toml
.sgclaw-workspace/skills/rrweb-<flow>-execute/scripts/execute_trace.js
.sgclaw-workspace/skills/rrweb-<flow>-execute/trace.semantic.json
```
Do not generate a single universal runtime skill that expects `trace_path` unless SGrobot core gains stable per-step argument passing. Current stable PlanTemplate usage binds a step to a skill name; the runtime resolves that skill's primary tool.
## PlanTemplate Mapping
Use three steps:
1. `open-target-page`: `skills = ["browser.open_url"]`; description includes the trace `startUrl`.
2. `run-recorded-flow`: `skills = ["rrweb-<flow>-execute"]`; executes generated page script with sgBrowser.
3. `save-result`: `skills = ["json.save_result"]`; saves structured output.
Set `requires_approval = true` on `run-recorded-flow` when `--default-mode execute` is used and the trace includes mutating actions such as `click`, `fill`, `select`, `check`, `submit`, or `risk = "write"`.
## Runtime Skill Mapping
Generated `SKILL.toml` should use:
```toml
[[tools]]
name = "execute_trace"
kind = "sgbrowser_action"
command = "sgBrowserExcuteJsCodeByDomain"
expected_domain = "<domain from startUrl>"
[tools.args]
script_path = "scripts/execute_trace.js"
```
Keep `sgBrowserExcuteJsCodeByDomain` and the `sgBrowerserOpenPage` spelling used by the existing SGrobot project. Do not replace this path with Playwright, CDP, or a generic browser action.
## Runtime Script Rules
The generated `execute_trace.js` runs inside the target page. It should:
- Default to `dry-run` unless the generator is called with `--default-mode execute`.
- Resolve target elements by stable CSS selector first, XPath second, visible text fallback last.
- Return structured JSON with `ok`, `mode`, `trace_id`, `url`, `title`, and per-action results.
- Stop on the first failed action and include an error message.
## Verification
After generating into a SGrobot repo:
```bash
node scripts/generate_sgrobot_flow.mjs --trace examples/basic-trace.json --out /Users/zhaoyilun/projects/sgrobot-architecture-design --default-mode dry-run
```
Then verify in SGrobot:
```powershell
Invoke-RestMethod 'http://127.0.0.1:42617/api/debug/plans?limit=20' | ConvertTo-Json -Depth 5
Invoke-RestMethod 'http://127.0.0.1:42617/api/skill' | ConvertTo-Json -Depth 4
```

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#!/usr/bin/env node
import { access, mkdir, readFile, writeFile } from "node:fs/promises";
import path from "node:path";
import { fileURLToPath } from "node:url";
const MUTATING_TYPES = new Set(["click", "fill", "input", "type", "select", "check", "uncheck", "submit", "press"]);
const WRITE_RISKS = new Set(["write", "dangerous", "destructive", "submit", "payment", "approval"]);
export function generateSgRobotArtifacts(trace, options = {}) {
const normalized = normalizeTrace(trace, options);
const files = new Map();
const skillRoot = `.sgclaw-workspace/skills/${normalized.skillName}`;
files.set(`plan_templates/${normalized.planId}/PlanTemplate.toml`, renderPlanTemplate(normalized));
files.set(`${skillRoot}/SKILL.toml`, renderSkillToml(normalized));
files.set(`${skillRoot}/scripts/execute_trace.js`, renderRuntimeScript(normalized));
files.set(`${skillRoot}/trace.semantic.json`, `${JSON.stringify(trace, null, 2)}\n`);
return {
summary: {
planId: normalized.planId,
skillName: normalized.skillName,
expectedDomain: normalized.expectedDomain,
defaultMode: normalized.defaultMode,
requiresApproval: normalized.requiresApproval,
actionCount: normalized.actions.length,
},
files,
};
}
export async function writeArtifacts(root, files, options = {}) {
const rootPath = path.resolve(root);
const written = [];
for (const [relativePath, content] of files.entries()) {
if (path.isAbsolute(relativePath) || relativePath.includes("..")) {
throw new Error(`Refusing unsafe generated path: ${relativePath}`);
}
const targetPath = path.resolve(rootPath, relativePath);
if (!targetPath.startsWith(`${rootPath}${path.sep}`)) {
throw new Error(`Refusing path outside output root: ${relativePath}`);
}
if (!options.force) {
try {
await access(targetPath);
throw new Error(`Refusing to overwrite existing file without --force: ${relativePath}`);
} catch (error) {
if (error && error.code !== "ENOENT") {
throw error;
}
}
}
await mkdir(path.dirname(targetPath), { recursive: true });
await writeFile(targetPath, content, "utf8");
written.push(targetPath);
}
return written;
}
function normalizeTrace(trace, options) {
if (!trace || typeof trace !== "object" || Array.isArray(trace)) {
throw new Error("Trace must be a JSON object.");
}
const id = requireString(trace.id, "trace.id");
const name = requireString(trace.name, "trace.name");
const startUrl = requireString(trace.startUrl || trace.start_url, "trace.startUrl");
const start = parseHttpUrl(startUrl, "trace.startUrl");
const actions = Array.isArray(trace.steps) ? trace.steps : trace.actions;
if (!Array.isArray(actions) || actions.length === 0) {
throw new Error("Trace must include a non-empty steps array.");
}
const baseId = toKebabId(id);
const planId = cleanId(trace.planId || trace.plan_id || `rrweb-${baseId}`, "plan id");
const skillName = cleanId(trace.skillName || trace.skill_name || `${planId}-execute`, "skill name");
const expectedDomain = String(trace.expectedDomain || trace.expected_domain || start.hostname).trim();
const defaultMode = normalizeMode(options.defaultMode || options.default_mode || trace.defaultMode || trace.default_mode || "dry-run");
const normalizedActions = actions.map((action, index) => normalizeAction(action, index));
const hasMutatingAction = normalizedActions.some(isMutatingAction);
const requiresApproval =
trace.requiresApproval === true ||
trace.requires_approval === true ||
(defaultMode === "execute" && hasMutatingAction);
return {
id,
name,
description: String(trace.description || `${name} generated from rrweb semantic trace.`),
startUrl: start.href,
planId,
skillName,
expectedDomain,
defaultMode,
requiresApproval,
actions: normalizedActions,
};
}
function normalizeAction(action, index) {
if (!action || typeof action !== "object" || Array.isArray(action)) {
throw new Error(`Trace step ${index + 1} must be an object.`);
}
const type = requireString(action.type || action.action, `trace.steps[${index}].type`);
const normalized = {
...action,
type,
label: String(action.label || action.name || `${type} #${index + 1}`),
};
if (needsTarget(type) && !action.selector && !Array.isArray(action.selectors) && !action.text) {
throw new Error(`Trace step ${index + 1} (${type}) needs selector, selectors, or text.`);
}
if (needsValue(type) && action.value === undefined) {
throw new Error(`Trace step ${index + 1} (${type}) needs value.`);
}
return normalized;
}
function renderPlanTemplate(trace) {
const approvalLine = trace.requiresApproval ? "\nrequires_approval = true" : "";
return `[plan]
id = ${tomlString(trace.planId)}
name = ${tomlString(trace.name)}
description = ${tomlString(trace.description)}
version = "1.0.0"
[plan.trigger]
kind = "manual"
[[plan.steps]]
id = "open-target-page"
title = "Open target page"
description = ${tomlString(`Call browser.open_url to open ${trace.startUrl}.`)}
skills = ["browser.open_url"]
depends_on = []
[[plan.steps]]
id = "run-recorded-flow"
title = "Run recorded browser flow"
description = ${tomlString(`Execute the generated rrweb semantic trace through sgBrowser on ${trace.expectedDomain}. Default mode: ${trace.defaultMode}.`)}
skills = [${tomlString(trace.skillName)}]
depends_on = ["open-target-page"]${approvalLine}
[[plan.steps]]
id = "save-result"
title = "Save structured result"
description = "Save the generated flow result as a structured JSON artifact."
skills = ["json.save_result"]
depends_on = ["run-recorded-flow"]
`;
}
function renderSkillToml(trace) {
return `[skill]
name = ${tomlString(trace.skillName)}
description = ${tomlString(`Run the generated rrweb semantic trace for ${trace.name} through sgBrowser.`)}
version = "0.1.0"
author = "rrweb-skill"
tags = ["rrweb", "semantic-trace", "sgbrowser-action", "generated"]
prompts = [
${tomlString(`Use ${trace.skillName} only for the generated ${trace.name} browser flow.`)},
"Run it after browser.open_url has opened the target page.",
"Return the structured JSON evidence emitted by the tool; do not use Playwright, CDP, or generic browser_action for this step."
]
[[tools]]
name = "execute_trace"
description = ${tomlString(`Replay or dry-run the generated ${trace.name} semantic trace in sgBrowser.`)}
kind = "sgbrowser_action"
command = "sgBrowserExcuteJsCodeByDomain"
expected_domain = ${tomlString(trace.expectedDomain)}
[tools.args]
script_path = "scripts/execute_trace.js"
mode = ${tomlString(`Baked default mode is ${trace.defaultMode}. Runtime may pass mode=execute or mode=dry-run if supported.`)}
`;
}
function renderRuntimeScript(trace) {
const runtimeTrace = {
id: trace.id,
name: trace.name,
start_url: trace.startUrl,
expected_domain: trace.expectedDomain,
default_mode: trace.defaultMode,
actions: trace.actions,
};
return `const TRACE = ${JSON.stringify(runtimeTrace, null, 2)};
const input =
(typeof args === "object" && args) ||
(typeof tool_args === "object" && tool_args) ||
(typeof sgclaw_args === "object" && sgclaw_args) ||
{};
function normalizeMode(value) {
const raw = String(value || TRACE.default_mode || "dry-run").trim().toLowerCase();
return raw === "execute" ? "execute" : "dry-run";
}
function normalizeType(value) {
return String(value || "").replace(/[\\s_-]+/g, "").toLowerCase();
}
function cleanText(value) {
return String(value || "").replace(/\\s+/g, " ").trim();
}
function selectorList(action) {
const selectors = [];
if (action.selector) {
selectors.push(action.selector);
}
if (Array.isArray(action.selectors)) {
for (const selector of action.selectors) {
if (selector) {
selectors.push(selector);
}
}
}
return selectors;
}
function findByXPath(xpath) {
try {
return document.evaluate(xpath, document, null, XPathResult.FIRST_ORDERED_NODE_TYPE, null).singleNodeValue;
} catch (_) {
return null;
}
}
function findByText(text) {
const needle = cleanText(text);
if (!needle) {
return null;
}
const candidates = Array.from(document.querySelectorAll("button,a,input,textarea,select,[role='button'],[role='link'],label"));
return candidates.find((node) => cleanText(node.innerText || node.value || node.getAttribute("aria-label") || node.textContent).includes(needle)) || null;
}
function findElement(action) {
for (const rawSelector of selectorList(action)) {
const selector = String(rawSelector).trim();
if (!selector) {
continue;
}
if (selector.startsWith("xpath=")) {
const node = findByXPath(selector.slice("xpath=".length));
if (node) {
return node;
}
continue;
}
if (selector.startsWith("//") || selector.startsWith("(//")) {
const node = findByXPath(selector);
if (node) {
return node;
}
continue;
}
try {
const node = document.querySelector(selector);
if (node) {
return node;
}
} catch (_) {
continue;
}
}
return findByText(action.text || action.label);
}
function describeElement(node) {
if (!node) {
return null;
}
return {
tag: String(node.tagName || "").toLowerCase(),
id: node.id || "",
name: node.getAttribute ? node.getAttribute("name") || "" : "",
text: cleanText(node.innerText || node.value || node.textContent).slice(0, 120),
};
}
function dispatchFieldEvents(node) {
node.dispatchEvent(new Event("input", { bubbles: true }));
node.dispatchEvent(new Event("change", { bubbles: true }));
}
function runAction(action, index, shouldExecute) {
const type = normalizeType(action.type);
const result = {
index,
type: action.type,
label: action.label || "",
mode: shouldExecute ? "execute" : "dry-run",
ok: true,
};
if (type === "asserttext" || type === "waitfortext") {
const needle = cleanText(action.text || action.value);
const haystack = cleanText(document.body ? document.body.innerText : document.documentElement.textContent);
result.ok = needle ? haystack.includes(needle) : false;
result.expected_text = needle;
return result;
}
if (type === "extracttext") {
const target = findElement(action) || document.body || document.documentElement;
result.text = cleanText(target.innerText || target.textContent).slice(0, Number(action.max_chars || 2000));
result.element = describeElement(target);
return result;
}
const element = findElement(action);
result.element = describeElement(element);
if (!element) {
result.ok = false;
result.error = "target element not found";
return result;
}
if (type === "click" || type === "submit") {
if (shouldExecute) {
element.scrollIntoView({ block: "center", inline: "center" });
if (typeof element.focus === "function") {
element.focus();
}
if (type === "submit" && element.form) {
element.form.requestSubmit ? element.form.requestSubmit() : element.form.submit();
} else {
element.click();
}
}
return result;
}
if (type === "fill" || type === "input" || type === "type") {
result.value = action.value;
if (shouldExecute) {
element.focus && element.focus();
element.value = String(action.value);
dispatchFieldEvents(element);
}
return result;
}
if (type === "select") {
result.value = action.value;
if (shouldExecute) {
element.value = String(action.value);
dispatchFieldEvents(element);
}
return result;
}
if (type === "check" || type === "uncheck") {
result.checked = type === "check";
if (shouldExecute) {
element.checked = type === "check";
dispatchFieldEvents(element);
}
return result;
}
result.ok = false;
result.error = "unsupported action type";
return result;
}
const mode = normalizeMode(input.mode || input.execution_mode || input.executionMode);
const shouldExecute = mode === "execute";
const actionResults = [];
let ok = true;
for (let index = 0; index < TRACE.actions.length; index += 1) {
const actionResult = runAction(TRACE.actions[index], index, shouldExecute);
actionResults.push(actionResult);
if (!actionResult.ok) {
ok = false;
break;
}
}
return JSON.stringify({
ok,
trace_id: TRACE.id,
trace_name: TRACE.name,
mode,
executed: shouldExecute,
expected_domain: TRACE.expected_domain,
url: window.location.href,
title: document.title || "",
action_count: TRACE.actions.length,
action_results: actionResults,
finished_at: new Date().toISOString(),
});
`;
}
function isMutatingAction(action) {
const type = String(action.type || "").trim().toLowerCase();
const risk = String(action.risk || "").trim().toLowerCase();
return MUTATING_TYPES.has(type) || WRITE_RISKS.has(risk);
}
function needsTarget(type) {
const normalized = String(type || "").replace(/[\s_-]+/g, "").toLowerCase();
return !["asserttext", "waitfortext"].includes(normalized);
}
function needsValue(type) {
const normalized = String(type || "").replace(/[\s_-]+/g, "").toLowerCase();
return ["fill", "input", "type", "select"].includes(normalized);
}
function normalizeMode(value) {
const mode = String(value || "").trim().toLowerCase();
if (mode === "dry-run" || mode === "dryrun" || mode === "dry_run") {
return "dry-run";
}
if (mode === "execute") {
return "execute";
}
throw new Error(`Unsupported default mode: ${value}`);
}
function cleanId(value, label) {
const cleaned = toKebabId(value);
if (!cleaned) {
throw new Error(`Invalid ${label}: ${value}`);
}
return cleaned;
}
function toKebabId(value) {
return String(value || "")
.trim()
.replace(/([a-z0-9])([A-Z])/g, "$1-$2")
.toLowerCase()
.replace(/[^a-z0-9._-]+/g, "-")
.replace(/-+/g, "-")
.replace(/^-|-$/g, "");
}
function requireString(value, label) {
if (typeof value !== "string" || !value.trim()) {
throw new Error(`${label} must be a non-empty string.`);
}
return value.trim();
}
function parseHttpUrl(value, label) {
try {
const url = new URL(value);
if (!["http:", "https:"].includes(url.protocol)) {
throw new Error("Only http/https URLs are supported.");
}
return url;
} catch (error) {
throw new Error(`${label} must be a valid http/https URL. ${error.message}`);
}
}
function tomlString(value) {
return JSON.stringify(String(value));
}
function parseCliArgs(argv) {
const args = {
defaultMode: "dry-run",
force: false,
};
for (let index = 0; index < argv.length; index += 1) {
const token = argv[index];
if (token === "--trace") {
args.trace = argv[++index];
} else if (token === "--out") {
args.out = argv[++index];
} else if (token === "--default-mode" || token === "--mode") {
args.defaultMode = argv[++index];
} else if (token === "--force") {
args.force = true;
} else if (token === "--help" || token === "-h") {
args.help = true;
} else {
throw new Error(`Unknown argument: ${token}`);
}
}
return args;
}
function usage() {
return `Usage:
node scripts/generate_sgrobot_flow.mjs --trace <semantic-trace.json> --out <sgrobot-root> [--default-mode dry-run|execute] [--force]
`;
}
async function main() {
const cli = parseCliArgs(process.argv.slice(2));
if (cli.help) {
console.log(usage());
return;
}
if (!cli.trace || !cli.out) {
throw new Error(`${usage()}Both --trace and --out are required.`);
}
const trace = JSON.parse(await readFile(cli.trace, "utf8"));
const result = generateSgRobotArtifacts(trace, { defaultMode: cli.defaultMode });
const written = await writeArtifacts(cli.out, result.files, { force: cli.force });
console.log(JSON.stringify({ ...result.summary, written }, null, 2));
}
const isCli = process.argv[1] && path.resolve(process.argv[1]) === fileURLToPath(import.meta.url);
if (isCli) {
main().catch((error) => {
console.error(error.message);
process.exitCode = 1;
});
}

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#!/usr/bin/env node
import { readFile } from "node:fs/promises";
import path from "node:path";
const root = path.resolve(process.argv[2] || ".");
const planId = process.argv[3];
const skillName = process.argv[4];
if (!planId || !skillName) {
console.error("Usage: node scripts/validate_sgrobot_artifacts.mjs <root> <plan-id> <skill-name>");
process.exit(1);
}
const planPath = path.join(root, "plan_templates", planId, "PlanTemplate.toml");
const skillPath = path.join(root, ".sgclaw-workspace", "skills", skillName, "SKILL.toml");
const scriptPath = path.join(root, ".sgclaw-workspace", "skills", skillName, "scripts", "execute_trace.js");
const tracePath = path.join(root, ".sgclaw-workspace", "skills", skillName, "trace.semantic.json");
const [plan, skill, script, traceText] = await Promise.all([
readFile(planPath, "utf8"),
readFile(skillPath, "utf8"),
readFile(scriptPath, "utf8"),
readFile(tracePath, "utf8"),
]);
const trace = JSON.parse(traceText);
const checks = [
["plan has [plan]", plan.includes("[plan]")],
["plan id matches", plan.includes(`id = "${planId}"`)],
["plan opens page via browser.open_url", plan.includes('skills = ["browser.open_url"]')],
["plan calls generated skill", plan.includes(`skills = ["${skillName}"]`)],
["plan saves result", plan.includes('skills = ["json.save_result"]')],
["write flow requires approval", plan.includes("requires_approval = true")],
["skill name matches", skill.includes(`name = "${skillName}"`)],
["skill uses sgBrowser action", skill.includes('kind = "sgbrowser_action"')],
["skill uses sgBrowser JS by domain", skill.includes('command = "sgBrowserExcuteJsCodeByDomain"')],
["skill references execute script", skill.includes('script_path = "scripts/execute_trace.js"')],
["runtime script contains trace", script.includes(`"id": "${trace.id}"`)],
["runtime script returns structured JSON", script.includes("action_results")],
["trace has realistic steps", Array.isArray(trace.steps) && trace.steps.length >= 4],
];
const failed = checks.filter(([, ok]) => !ok);
for (const [name, ok] of checks) {
console.log(`${ok ? "ok" : "not ok"} - ${name}`);
}
if (failed.length > 0) {
process.exitCode = 1;
}

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import { test } from "node:test";
import assert from "node:assert/strict";
import { readFile } from "node:fs/promises";
import { generateSgRobotArtifacts } from "../scripts/generate_sgrobot_flow.mjs";
test("recorded customer callback flow generates SGrobot-compliant artifacts", async () => {
const trace = JSON.parse(await readFile("examples/recordings/customer-callback-trace.json", "utf8"));
const result = generateSgRobotArtifacts(trace, { defaultMode: "execute" });
const plan = result.files.get("plan_templates/rrweb-customer-callback-draft/PlanTemplate.toml");
const skill = result.files.get(".sgclaw-workspace/skills/rrweb-customer-callback-draft-execute/SKILL.toml");
const script = result.files.get(".sgclaw-workspace/skills/rrweb-customer-callback-draft-execute/scripts/execute_trace.js");
const evidence = result.files.get(".sgclaw-workspace/skills/rrweb-customer-callback-draft-execute/trace.semantic.json");
assert.equal(result.summary.planId, "rrweb-customer-callback-draft");
assert.equal(result.summary.skillName, "rrweb-customer-callback-draft-execute");
assert.equal(result.summary.requiresApproval, true);
assert.match(plan, /skills = \["browser\.open_url"\]/);
assert.match(plan, /skills = \["rrweb-customer-callback-draft-execute"\]/);
assert.match(plan, /requires_approval = true/);
assert.match(skill, /kind = "sgbrowser_action"/);
assert.match(skill, /command = "sgBrowserExcuteJsCodeByDomain"/);
assert.match(skill, /script_path = "scripts\/execute_trace.js"/);
assert.match(script, /"type": "select"/);
assert.match(script, /"type": "fill"/);
assert.match(script, /"risk": "write"/);
assert.equal(JSON.parse(evidence).steps.length, 4);
});

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import { test } from "node:test";
import assert from "node:assert/strict";
import { mkdtemp, readFile, rm } from "node:fs/promises";
import { tmpdir } from "node:os";
import path from "node:path";
import { generateSgRobotArtifacts, writeArtifacts } from "../scripts/generate_sgrobot_flow.mjs";
const trace = {
id: "expense-approval",
name: "费用审批",
description: "打开审批页,填写意见并点击同意。",
startUrl: "https://oa.example.test/expense/123",
steps: [
{ type: "assertText", text: "费用审批", label: "确认在审批页" },
{ type: "fill", selector: "textarea[name='comment']", value: "同意", label: "填写审批意见" },
{ type: "click", selector: "button[data-action='approve']", label: "点击同意", risk: "write" },
],
};
test("generates SGrobot plan and runtime skill artifacts", () => {
const result = generateSgRobotArtifacts(trace, { defaultMode: "execute" });
assert.equal(result.summary.planId, "rrweb-expense-approval");
assert.equal(result.summary.skillName, "rrweb-expense-approval-execute");
assert.equal(result.summary.requiresApproval, true);
const plan = result.files.get("plan_templates/rrweb-expense-approval/PlanTemplate.toml");
const skill = result.files.get(".sgclaw-workspace/skills/rrweb-expense-approval-execute/SKILL.toml");
const script = result.files.get(".sgclaw-workspace/skills/rrweb-expense-approval-execute/scripts/execute_trace.js");
assert.equal(plan.includes('skills = ["rrweb-expense-approval-execute"]'), true);
assert.equal(plan.includes("requires_approval = true"), true);
assert.equal(skill.includes('command = "sgBrowserExcuteJsCodeByDomain"'), true);
assert.equal(skill.includes('expected_domain = "oa.example.test"'), true);
assert.equal(script.includes('"default_mode": "execute"'), true);
assert.equal(script.includes('replace(/[\\s_-]+/g, "")'), true);
assert.equal(script.includes('replace(/[\\\\s_-]+/g, "")'), false);
});
test("writes generated artifacts under a SGrobot repository root", async () => {
const root = await mkdtemp(path.join(tmpdir(), "rrweb-sgrobot-"));
try {
const result = generateSgRobotArtifacts(trace);
await writeArtifacts(root, result.files);
const plan = await readFile(path.join(root, "plan_templates/rrweb-expense-approval/PlanTemplate.toml"), "utf8");
const skill = await readFile(path.join(root, ".sgclaw-workspace/skills/rrweb-expense-approval-execute/SKILL.toml"), "utf8");
const evidence = await readFile(path.join(root, ".sgclaw-workspace/skills/rrweb-expense-approval-execute/trace.semantic.json"), "utf8");
assert.match(plan, /skills = \["browser\.open_url"\]/);
assert.match(skill, /script_path = "scripts\/execute_trace.js"/);
assert.equal(JSON.parse(evidence).id, "expense-approval");
} finally {
await rm(root, { recursive: true, force: true });
}
});