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BF wechat-creator

公众号内容创作与运营分析聚合技能。一个 Skill 覆盖公众号创作与运营全链路：10w+ 爆文榜单、爆款正文创作、标题生成+评分、文案改写（含改写记录自动上报）、违禁词检测、爆款封面设计、账号四维度诊断。基于红狐数据每日收录的海量公众号爆款数据，把灵感打磨成可直接发布的成品。当用户需要写公众号文章、起标题或评估标题、改写文案、设计封面、检测违禁词、查 10w+ 爆文、诊断公众号账号时使用。触发词：公众号、公众号文章、公众号标题、公众号改写、公众号封面、公众号违禁词、10w+、爆文、账号诊断。

ClawHub Agent Skills author: RedFox v1.0.0 MIT-0 23 files body ≈ 4 766 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

公众号内容创作与运营分析聚合技能。一个 Skill 覆盖公众号创作与运营全链路：10w+…

As a process F 34/100 · Will not run — References files that are not bundled: 文章链接, 公众号名片链接, 链接

IntegrationPlaywrightWordAI and agentstype 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
84/100
safety, quality, tests
Safety 60%
98
Quality 40%
64
Run on models
none yet
Process rating
F
34/100
Will not run
References files that are not bundled: 文章链接, 公众号名片链接, 链接
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: wechat-creator (ClawHub)

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Secrets in code secret-password-literal scripts/check_sensitive_words.py:66
    Hard-coded password / key literal (may be an example)
    api_key = match.group(1).strip()
  • low Dangerous commands cmd-shell-rc SKILL.md:77
    Writes to a shell startup file (quoted — discussed, not commanded)
    - macOS/Linux（zsh）：`echo 'export REDFOX_API_KEY=ak_xxx' >> ~/.zshrc && source ~/.zshrc`
    quoted

Files scanned: 23. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: 文章链接
  • warning missing-ref reference to a missing file: 公众号名片链接
  • warning missing-ref reference to a missing file: 链接
  • note frontmatter-key unknown frontmatter key "dependency"

Process rating: all ten parameters 34/100

Will not run. References files that are not bundled: 文章链接, 公众号名片链接, 链接
  • 0Tools and files. 3 referenced file(s) missing: 文章链接, 公众号名片链接, 链接
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 70Execution cost. Instruction body is 4766 tokens
  • 100Steps. 114 steps
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. No mutating operations
  • low 14 top-level sections: this looks like several domains in one skill

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

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -212 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 248: enough signal without eating the budget
  • +4Structure: 56 headings
  • +3Step-by-step instructions: 114 items
  • +4Has examples (23 code blocks)
  • +4Reference files are cited in the instructions (8 of 8)
  • +3All 8 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: clean
This skill is a disclosed RedFox-backed WeChat content assistant; its API key use, content checks, data queries, and local report files fit its stated purpose.
LLM: benign (high) · VirusTotal: · 4 Sept 2026