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DF flyai-hotel-near-attraction

(no description)

Not recommendedlow grade D
ClawHub Agent Skills author: dingtom336-gif v1.0.55596 MIT-0 6 files body ≈ 980 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 60/100 · Will not run — References files that are not bundled: {poi_detailUrl}

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
D
54/100
safety, quality, tests
Safety 60%
90
Quality 40%
0
Run on models
none yet
Process rating
F
60/100
Will not run
References files that are not bundled: {poi_detailUrl}
Tools and files w 18
0
Progress reporting w 2
0
When it triggers w 12
50
the three weakest of ten parameters · all ten

How to improve

  1. Add a description to the frontmatter: without it the skill never triggers.
  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 · 10

✓ No critical or high findings

Medium and low: 10
  • low Secrets in code secret-high-entropy-token references/fallbacks.md:1
    High-entropy token-like string (may be an id, hash or a credential)
    ----…84a
  • low Secrets in code secret-high-entropy-token references/fallbacks.md:111
    High-entropy token-like string (may be an id, hash or a credential)
    ----…a--
  • low Secrets in code secret-high-entropy-token references/playbooks.md:1
    High-entropy token-like string (may be an id, hash or a credential)
    ----…cf2
  • low Secrets in code secret-high-entropy-token references/playbooks.md:96
    High-entropy token-like string (may be an id, hash or a credential)
    ----…2--
  • low Secrets in code secret-high-entropy-token references/runbook.md:1
    High-entropy token-like string (may be an id, hash or a credential)
    ----…1af
  • low Secrets in code secret-high-entropy-token references/runbook.md:79
    High-entropy token-like string (may be an id, hash or a credential)
    ----…f--
  • low Secrets in code secret-high-entropy-token references/templates.md:1
    High-entropy token-like string (may be an id, hash or a credential)
    ----…cac
  • low Secrets in code secret-high-entropy-token references/templates.md:109
    High-entropy token-like string (may be an id, hash or a credential)
    ----…c--
  • low Secrets in code secret-high-entropy-token SKILL.md:1
    High-entropy token-like string (may be an id, hash or a credential)
    ----…1d3
  • low Secrets in code secret-high-entropy-token SKILL.md:132
    High-entropy token-like string (may be an id, hash or a credential)
    ----…3--

Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error frontmatter SKILL.md: no YAML frontmatter block found
  • error name-missing SKILL.md: frontmatter has no `name`
  • error description-missing SKILL.md: no `description` — the skill can never trigger
  • warning missing-ref reference to a missing file: {poi_detailUrl}

Process rating: all ten parameters 60/100

Will not run. References files that are not bundled: {poi_detailUrl}
  • 0Tools and files. 1 referenced file(s) missing: {poi_detailUrl}
  • 0Progress reporting. Says nothing while it works
  • 50When it triggers. States when to use, but not when not to
  • 50Failures and branches. 0 branches, has a failure section
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 14 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 980 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
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 0: 120–800 characters recommended
  • +1No license
  • +2Single-language instructions
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 14 items
  • +3Output format is stated explicitly
  • +4Has examples (8 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.

External checks

ClawHub: clean
This travel-search skill appears purpose-aligned, but users should know it relies on an external FlyAI/Fliggy CLI and has a rigid hotel-sorting preference.
LLM: benign (medium) · VirusTotal: · 29 May 2026