SKILLEMALL.ai
GitHub ↗ RU Sign in

BF openclaw-tour-planner

Universal travel planning skill for OpenClaw agents. Plan itineraries, check weather, discover attractions, and estimate budgets — all through natural conversation. Uses free APIs, no API key required for core features.

modbender/skill-library-mcp Agent Skills author: modbender MIT 16 files body ≈ 1 581 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Universal travel planning skill for OpenClaw agents.

As a process F 44/100 · Will not run — References files that are not bundled: CONTRIBUTING.md, LICENSE

IntegrationGitHubAI and agentsSoftware 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
B
82/100
safety, quality, tests
Safety 60%
94
Quality 40%
65
Run on models
none yet
Process rating
F
44/100
Will not run
References files that are not bundled: CONTRIBUTING.md, LICENSE
Tools and files w 18
0
Inputs and preconditions w 11
0
Failures and branches w 10
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 · 6

✓ No critical or high findings

Medium and low: 6
  • low Exfiltration exfil-secret-in-url ANALYSIS.md:237
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
    const url = `https://weather.visualcrossing.com/VisualCrossingWebServices/rest/services/timeline/${lat},${lon}/next${days}days?unitGroup=…&key=…&contentType=…
    placeholder
  • low Secrets in code secret-high-entropy-token package-lock.json:91
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…VHO+q2xB…AGd+Kl0mmq/MprG…MzA==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:135
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…VHO+q2xB…AGd+Kl0mmq/MprG…MzA==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:312
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…ywo+qwL+oL8H…C1U+vRfLQDvw==",
    quoted
  • low Secrets in code secret-high-entropy-token package-lock.json:328
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha512-Yqfm+XDx0+Prh3…1yC+JWZ2…IL7+vK+Clp7…D7g==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:341
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…xZl+RoGR…fbT/ZgrF…0EA==",
    detector

Files scanned: 16. 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: CONTRIBUTING.md
  • warning missing-ref reference to a missing file: LICENSE
  • note frontmatter-key unknown frontmatter key "website"
  • note frontmatter-key unknown frontmatter key "repository"

Process rating: all ten parameters 44/100

Will not run. References files that are not bundled: CONTRIBUTING.md, LICENSE
  • 0Tools and files. 2 referenced file(s) missing: CONTRIBUTING.md, LICENSE
  • 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
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 20 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1581 tokens
  • 100Running it twice. No mutating operations
  • low 10 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)
  • +2Single-language instructions
  • +3Description length 219: enough signal without eating the budget
  • +4Structure: 28 headings
  • +3Step-by-step instructions: 20 items
  • +3Output format is stated explicitly
  • +4Has examples (9 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.