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BF outer-ratio-monitor

K线骗人，数据不骗。主力进场，你第一个知道——外内比实时监控，每30分钟扫一次自选股，外内比异动立即飞书告警。外盘/内盘比是主力的"提前量"，比K线快半步预警。**零依赖**：腾讯免费行情API，无需任何API Key。Pro版付费10元获取。⚠️ 股市有风险，投资需谨慎，风险自担。适用：A股短线交易者、散户、量化投资者。

ClawHub Agent Skills author: guoranyt v2.4.0 MIT-0 6 files body ≈ 1 923 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

K线骗人，数据不骗。主力进场，你第一个知道——外内比实时监控，每30分钟扫一次自选股，外内比异动立即飞书告警。外盘/内盘比是主力的"提前量"，比K线快半步预警。零依赖：腾讯免费行情API，无需任何API Key。Pro版付费10元获取。⚠️ 股市有风险，投资需谨慎，风险自担。适用：A股短线交易者、散户、量化投资者。

As a process F 35/100 · Will not run — References files that are not bundled: wechat-qr.jpg

ProcedureSoftware developmenttype 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
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: wechat-qr.jpg
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 · 0

✓ No critical or high findings

Files scanned: 6. 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: wechat-qr.jpg
  • note frontmatter-key unknown frontmatter key "slug"

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: wechat-qr.jpg
  • 0Tools and files. 1 referenced file(s) missing: wechat-qr.jpg
  • 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. 21 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1923 tokens
  • 100Running it twice. No mutating operations
  • low 18 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
  • -277 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 162: enough signal without eating the budget
  • +4Structure: 29 headings
  • +3Step-by-step instructions: 21 items
  • +4Has examples (11 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 2 scripts are documented

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

External checks

ClawHub: clean
This skill is a stock-monitoring helper that fetches public market data and stores local history; its sensitive behaviors are limited and mostly disclosed.
LLM: benign (high) · VirusTotal: · 10 Jul 2026