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AF policy-watch-brief

通过公开Web搜索获取近期产业政策与监管动态，整理为结构化简报（包含主题、关键信息、影响分析、来源）。Use when: (1) 需要了解某一产业近期政策动向，(2) 需要跟踪监管政策变化，(3) 需要整理政策简报，(4) 需要搜索产业政策的历史或未来趋势。NOT for: 需要实时数据的业务分析、需要专业政策咨询意见、需要引用具体法律法规条文原文。

ClawHub Agent Skills author: terrycarter1985 v1.0.0 MIT-0 2 files body ≈ 447 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

通过公开Web搜索获取近期产业政策与监管动态，整理为结构化简报（包含主题、关键信息、影响分析、来源）。Use when: (1) 需要了解某一产业近期政策动向，(2) 需要跟踪监管政策变化，(3) 需要整理政策简报，(4) 需要搜索产业政策的历史或未来趋势。NOT for…

As a process F 39/100 · Will not run — References files that are not bundled: <url1>, <url2>, <url3>

Proceduretype 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
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
F
39/100
Will not run
References files that are not bundled: <url1>, <url2>, <url3>
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. 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: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: <url1>
  • warning missing-ref reference to a missing file: <url2>
  • warning missing-ref reference to a missing file: <url3>

Process rating: all ten parameters 39/100

Will not run. References files that are not bundled: <url1>, <url2>, <url3>
  • 0Tools and files. 3 referenced file(s) missing: <url1>, <url2>, <url3>
  • 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
  • 50When it triggers. No condition that starts the skill
  • 100Steps. 20 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 447 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

  • +5Description has no quoted example phrases that should trigger the skill
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 176: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 20 items
  • +4Has examples (5 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: clean
This skill only guides an agent to search public web sources and format policy updates into a brief.
LLM: benign (high) · VirusTotal: · 12 Jul 2026