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A股公众号大V工具，输入日期获取A股领域公众号大V账号30个及账号数据（平均阅读、红狐指数等），同时获取每个账号最新一篇文章及文章数据。当用户提到"A股公众号"、"股市大V"、"A股账号"、"股票公众号榜单"、"A股公众号大V"时使用。

ClawHub Agent Skills author: RedFox v1.0.1 MIT-0 11 files body ≈ 1 608 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

A股公众号大V工具，输入日期获取A股领域公众号大V账号30个及账号数据（平均阅读、红狐指数等），同时获取每个账号最新一篇文章及文章数据。当用户提到"A股公众号"、"股市大V"、"A股账号"、"股票公众号榜单"、"A股公众号大V"时使用。

As a process F 35/100 · Will not run — References files that are not bundled: url, workUrl, 链接

IntegrationSoftware developmentAI 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
80/100
safety, quality, tests
Safety 60%
94
Quality 40%
60
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: url, workUrl, 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

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 · 6

✓ No critical or high findings

Medium and low: 6
  • low Obfuscation obf-base64-blob scripts/search_user_test_result.json:9
    Long base64-looking blob (test fixture / example file; quoted — discussed, not commanded)
    "avatarUrl": "http://mmbiz.qpic.cn/mmbiz_png/LmQT…lrA/0?wx_fmt=png"
    fixturequoted
  • low Obfuscation obf-base64-blob scripts/search_user_test_result.json:18
    Long base64-looking blob (test fixture / example file; quoted — discussed, not commanded)
    "avatarUrl": "http://mmbiz.qpic.cn/mmbiz_png/TIsZ…6sQ/0?wx_fmt=png"
    fixturequoted
  • low Obfuscation obf-base64-blob scripts/search_user_test_result.json:27
    Long base64-looking blob (test fixture / example file; quoted — discussed, not commanded)
    "avatarUrl": "http://mmbiz.qpic.cn/mmbiz_png/c3pX…7Yw/0?wx_fmt=png"
    fixturequoted
  • low Obfuscation obf-base64-blob scripts/search_user_test_result.json:36
    Long base64-looking blob (test fixture / example file; quoted — discussed, not commanded)
    "avatarUrl": "http://mmbiz.qpic.cn/sz_mmbiz_png/xSwd…Rww/0?wx_fmt=png"
    fixturequoted
  • low Obfuscation obf-base64-blob scripts/search_user_test_result.json:45
    Long base64-looking blob (test fixture / example file; quoted — discussed, not commanded)
    "avatarUrl": "http://mmbiz.qpic.cn/mmbiz_png/P30X…adg/0?wx_fmt=png"
    fixturequoted
  • low Obfuscation uni-zero-width scripts/search_user_test_result.json:538
    Zero-width / invisible characters (possible hidden text) (3 occurrences) (test fixture / example file)
    "description": "头部券商投资顾问，从业10+年。股票、基金、量化 、投研、融券、场外欢迎交流，共同学习进步~ ␀␀␀",
    fixture

Files scanned: 11. 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: url
  • warning missing-ref reference to a missing file: workUrl
  • warning missing-ref reference to a missing file: 链接
  • note frontmatter-key unknown frontmatter key "dependency"

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: url, workUrl, 链接
  • 0Tools and files. 3 referenced file(s) missing: url, workUrl, 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
  • 100Steps. 37 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1608 tokens
  • 100Running it twice. No mutating operations

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)
  • +3Description length 118: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -215 emoji in the instructions: noise for the model
  • -31 of 4 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 2 example trigger phrases
  • +4Structure: 29 headings
  • +3Step-by-step instructions: 37 items
  • +4Has examples (12 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.

External checks

ClawHub: suspicious
The skill generally does the advertised A-share WeChat ranking lookup, but its API-key handling and persistent subscription changes need review before installation.
LLM: suspicious (high) · VirusTotal: · 8 Sept 2026