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BF baoyu-wechat-summary

Summarizes WeChat group chat highlights into a structured digest using the local wx-cli binary (https://github.com/jackwener/wx-cli). Generates a normal digest by default; a roast (毒舌) version is opt-in. Maintains per-group history (history.json + history-digests.jsonl), per-user profiles, and per-group fact memory (memory.md) across runs, with privacy guardrails baked in. Use when the user asks to "总结群聊", "群聊精华", "群聊摘要", "summarize group chat", "group chat digest", mentions a WeChat group name with a time range, says "帮我看看 XX 群最近聊了什么", "XX 群有什么值得看的", or asks to "回溯画像" / "初始化画像" / "backfill profiles". Adds the roast version when the user says "毒舌版", "roast 版", "再来个毒舌的", or similar.

ClawHub Agent Skills author: Jim Liu 宝玉 v1.117.4 MIT-0 4 files body ≈ 7 789 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 63/100 · Will not run — References files that are not bundled: EXTEND.md.example

IntegrationGitHubWriting and documentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
97
Quality 40%
77
Run on models
none yet
Process rating
F
63/100
Will not run
References files that are not bundled: EXTEND.md.example
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
70
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 3

✓ No critical or high findings

Medium and low: 3
  • low Dangerous commands cmd-privilege SKILL.md:42
    Privilege escalation / world-writable permissions (documentation of a security skill)
    sudo chown -R $(whoami) ~/.wx-cli
    security skill
  • low Dangerous commands cmd-privilege SKILL.md:43
    Privilege escalation / world-writable permissions (documentation of a security skill)
    sudo rm -f ~/.wx-cli/daemon.pid ~/.wx-cli/daemon.sock
    security skill
  • low Dangerous commands cmd-privilege SKILL.md:533
    Privilege escalation / world-writable permissions (documentation table row; documentation of a security skill)
    | `无法写入 /Users/<u>/.wx-cli` / `Permission denied` | `~/.wx-cli` is owned by root (legacy `sudo wx init`) | `sudo chown -R $(whoami) ~/.wx-cli && sudo rm -f ~/.wx-cli/daemon.{pid,sock} && wx daemon sta
    tablesecurity skill

Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 7789 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: EXTEND.md.example

Process rating: all ten parameters 63/100

Will not run. References files that are not bundled: EXTEND.md.example
  • 0Tools and files. 1 referenced file(s) missing: EXTEND.md.example
  • 0Result and completion. Does not say what the result is
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 7789 tokens
  • 100Steps. 130 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 25 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low The response is described with custom markup (8 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 7 example trigger phrases
  • +3Description length 690: enough signal without eating the budget
  • +4Structure: 35 headings
  • +3Step-by-step instructions: 130 items
  • +4Has examples (13 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: suspicious
This skill does what it claims, but it needs unsandboxed access to private WeChat data and creates long-lived local chat summaries, histories, and participant profiles.
LLM: suspicious (high) · 13 Jun 2026