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AC venue-polling

Use this skill when the user wants to poll gym venue availability, inspect or modify the `venue_polling.py` order-signing flow, or run the bundled signature replay and public-key verification helpers for the mini-program booking APIs.

ClawHub Agent Skills author: ruok Lee v1.0.0 MIT-0 9 files body ≈ 345 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 63/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

AnalyzerInfrastructuretype 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
92/100
safety, quality, tests
Safety 60%
96
Quality 40%
87
Run on models
none yet
Process rating
C
63/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    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 · 4

    ✓ No critical or high findings

    Medium and low: 4
    • low Obfuscation obf-base64-blob references/captured-create-order.txt:9
      Long base64-looking blob (detector / deny-list definition)
      X-Ca-Signature: gLtY…bcS+px8C…7w7+HMCi…Brh+DhbD…FLw+wsrY…7z3/3rzh…Hko
      detector
    • low Secrets in code secret-high-entropy-token references/captured-create-order.txt:9
      High-entropy token-like string (may be an id, hash or a credential)
      X-Ca-Signature: gLtY…bcS+px8C…7w7+HMCi…Brh+DhbD…FLw+wsrY…7z3/3rzh…Hko
    • low Secrets in code secret-high-entropy-token scripts/public_key_verify_test.py:15
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
      "px8C…7w7+HMCi…Brh+DhbD…k0y"
      fixturequoted
    • low Secrets in code secret-high-entropy-token scripts/signature_replay_test.py:14
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
      "px8C…7w7+HMCi…Brh+DhbD…k0y"
      fixturequoted

    Files scanned: 9. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 63/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 3 mutating operations with no state check
    • 65Failures and branches. 3 branches
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 12 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 345 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
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 234: enough signal without eating the budget
    • +4Structure: 4 headings
    • +3Step-by-step instructions: 12 items
    • +4Reference files are cited in the instructions (3 of 3)
    • +3All 3 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: suspicious
    This skill is a real gym booking automation workflow that can automatically place a live reservation using embedded account credentials without a clear confirmation step.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026