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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.

72

Quality

92%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

85%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-engineered, highly actionable multi-step workflow with strong validation feedback loops and clean one-level-deep progressive disclosure. Its only real weakness is length — several narrative sections could be tightened to recover token budget.

Suggestions

Trim the prose intro paragraph and the 'Notes and limitations' section to bullet points; the operational steps already convey the constraints.

Compress the EXTEND.md 'First-Time Setup' narration — the bash snippets and AskUserQuestion bullet list already carry the procedure.

Consolidate the repeated 'read references/X.md before this step' directives into the existing reference table to remove duplicated guidance.

DimensionReasoningScore

Conciseness

Mostly efficient and assumes Claude's competence (it never explains what WeChat, JSONL, or jq is), but at ~498 lines it carries several prose sections — the intro paragraph, 'Notes and limitations', and some rule narration — that could be trimmed without losing operational value.

3 / 5

Actionability

Fully executable guidance throughout — concrete `wx contacts --query`, `wx history ... --json > "$TMPDIR/wx-messages.json"`, `wc -c`, `jq 'length'`, and `grep` audit commands plus explicit JSON/JSONL schemas, covering the common single-day, range, and incremental cases.

5 / 5

Workflow Clarity

A clearly sequenced Steps 1→9 pipeline with Round 1/2/3 generation and an explicit Round 3 attribution audit (grep raw file → fix misattribution → re-verify) feedback loop, plus a final completion checklist and a mandated `memory 扫描` verdict line — validation checkpoints are present, so no destructive/batch cap applies.

5 / 5

Progressive Disclosure

SKILL.md keeps the workflow skeleton and splits detail into four one-level-deep reference files (setup.md, output-formats.md, profiles.md, group-memory.md) with a table signaling exactly which step triggers each read; all referenced paths resolve to real bundle files.

5 / 5

Total

18

/

20

Passed

Description

100%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, specific description that clearly states what the skill does and when to invoke it, with rich bilingual natural-language triggers and concrete capability claims. Third-person voice is maintained throughout with no over-claims.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Summarizes WeChat group chat highlights into a structured digest', '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)' — giving comprehensive coverage of the skill's capabilities.

5 / 5

Completeness

Explicitly answers both what ('Summarizes... Generates a normal digest... Maintains per-group history... profiles... fact memory') and when ('Use when the user asks to...') with concrete trigger phrases, matching the score-5 anchor exactly.

5 / 5

Trigger Term Quality

Comprehensive coverage of natural terms across both languages and synonyms — '总结群聊', '群聊精华', '群聊摘要', 'summarize group chat', 'group chat digest', plus conversational phrasings like '帮我看看 XX 群最近聊了什么' and '回溯画像' / 'backfill profiles'.

5 / 5

Distinctiveness Conflict Risk

Clear niche (WeChat group chat digests via the local wx-cli binary) with highly specific bilingual triggers; minimal risk of firing for an unrelated skill.

5 / 5

Total

20

/

20

Passed

Validation

75%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation12 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

relative_links

Relative link issues: 1 missing

Warning

Total

12

/

16

Passed

Repository
JimLiu/baoyu-skills
Reviewed

Table of Contents

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