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CD regulation-monitor

监控中国金融监管机构网站（国家金融监管总局NFRA、证监会CSRC、央行PBOC等），抓取最新监管政策、行政处罚、通知公告、风险提示等内容，并以标题+摘要格式输出，支持Word和纯文本。当用户说"帮我看看最新的监管动态"、"查一下最新监管政策"、"有没有新的处罚案例"、"监管有什么新动态"、"看看NFRA/证监会/央行最新发布了什么"时，必须使用此Skill。即使用户只是问"最近有什么监管新闻"，也应优先触发此Skill。

ClawHub Agent Skills author: gentleming v1.0.0 MIT-0 3 files · 1 script body ≈ 304 tokens Open the sourceclawhub.ai↗ analyzed 11 d ago

监控中国金融监管机构网站（国家金融监管总局NFRA、证监会CSRC、央行PBOC等），抓取最新监管政策、行政处罚、通知公告、风险提示等内容，并以标题+摘要格式输出，支持Word和纯文本。当用户说"帮我看看最新的监管动态"、"查一下最新监管政策"、"有没有新的处罚案例"、"监管有什么新动态"、"看看NFRA/证监会/央…

As a process D 35/100 · Unfinished process — References files that are not bundled: 原文链接, pdf链接, doc链接

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
C
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
D
35/100
Unfinished process
References files that are not bundled: 原文链接, pdf链接, doc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 · 0

✓ No critical or high findings

Files scanned: 3. 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: 原文链接
  • warning missing-ref reference to a missing file: pdf链接
  • warning missing-ref reference to a missing file: doc链接

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: 原文链接, pdf链接, doc链接
  • 0Tools and files. 3 referenced file(s) missing: 原文链接, pdf链接, doc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. 6 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 304 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 6 example trigger phrases
  • +3Description length 213: enough signal without eating the budget
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 6 items
  • +4Has examples (3 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: clean
The skill appears to monitor public regulatory news and summarize it, with some scoping and disclosure gaps but no evidence of hidden, destructive, or credential-seeking behavior.
LLM: benign (medium) · VirusTotal: · 29 May 2026