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Search Yelp businesses and reviews, compare local options, and audit listing quality with official APIs, public pages, and safe action boundaries.

ClawHub Agent Skills author: Iván v1.0.0 MIT-0 9 files body ≈ 2 020 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 58/100 · Has gaps — weak spots: result and completion, when it triggers, 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
B
87/100
safety, quality, tests
Safety 60%
95
Quality 40%
76
Run on models
none yet
Process rating
C
58/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
When it triggers w 12
20
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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • low Exfiltration net-credential-use api-workflows.md:8
      Credential used in a network call (verify the destination is the intended service) (documentation of a security skill)
      curl -sS -H "Authorization: Bearer ${YELP_API_KEY}" \
      security skill
    • low Exfiltration net-credential-use api-workflows.md:21
      Credential used in a network call (verify the destination is the intended service) (documentation of a security skill)
      curl -sS -H "Authorization: Bearer ${YELP_API_KEY}" \
      security skill
    • low Exfiltration net-credential-use api-workflows.md:31
      Credential used in a network call (verify the destination is the intended service) (documentation of a security skill)
      curl -sS -H "Authorization: Bearer ${YELP_API_KEY}" \
      security skill
    • low Exfiltration net-credential-use api-workflows.md:41
      Credential used in a network call (verify the destination is the intended service) (documentation of a security skill)
      curl -sS -H "Authorization: Bearer ${YELP_API_KEY}" \
      security skill
    • low Exfiltration net-credential-use api-workflows.md:45
      Credential used in a network call (verify the destination is the intended service) (documentation of a security skill)
      curl -sS -H "Authorization: Bearer ${YELP_API_KEY}" \
      security skill

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

    Against the Agent Skills spec

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
    • note frontmatter-key unknown frontmatter key "slug"
    • note frontmatter-key unknown frontmatter key "homepage"
    • note frontmatter-key unknown frontmatter key "changelog"

    Process rating: all ten parameters 58/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 2 mutating operations with no state check
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 70Failures and branches. 5 branches
    • 100Steps. 55 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2020 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 13 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
    • +1No license
    • +2Single-language instructions
    • +3Description length 146: enough signal without eating the budget
    • +4Structure: 20 headings
    • +3Step-by-step instructions: 55 items
    • +4Has examples (1 code blocks)

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

    External checks

    ClawHub: clean
    This Yelp skill is a disclosed Yelp research helper with optional API use and local notes, and I found no evidence of hidden or destructive behavior.
    LLM: benign (high) · VirusTotal: · 29 May 2026