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AF 36kr-ainotes

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ClawHub Agent Skills author: 36kr v1.0.5 MIT-0 6 files · 1 script body ≈ 1 258 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 39/100 · Will not run — References files that are not bundled: noteUrl, circleUrl1, circleUrl2

ProcedureInfrastructuretype 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%
75
Run on models
none yet
Process rating
F
39/100
Will not run
References files that are not bundled: noteUrl, circleUrl1, circleUrl2
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: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: noteUrl
  • warning missing-ref reference to a missing file: circleUrl1
  • warning missing-ref reference to a missing file: circleUrl2
  • warning missing-ref reference to a missing file: productUrl1
  • warning missing-ref reference to a missing file: productUrl2
  • warning missing-ref reference to a missing file: circleUrl
  • warning missing-ref reference to a missing file: productUrl

Process rating: all ten parameters 39/100

Will not run. References files that are not bundled: noteUrl, circleUrl1, circleUrl2
  • 0Tools and files. 7 referenced file(s) missing: noteUrl, circleUrl1, circleUrl2
  • 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
  • 30Running it twice. 3 mutating operations with no state check
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 34 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1258 tokens

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
  • +1No license
  • +2Single-language instructions
  • +3Description length 220: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 34 items
  • +4Has examples (5 code blocks)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This is a read-only 36kr AI-notes lookup skill, with minor disclosed cross-promotion but no evidence of hidden access, credential use, persistence, or automatic installation.
LLM: benign (high) · VirusTotal: · 29 May 2026