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FF flyclaw (Flight N-in-1 Search Zero Login)

Multi-source flight aggregation — tickets, nonstop, round-trip, cabin. 航班机票/零登录/零API, zero login, zero account, zero API key. Pure Python, no browser. 机票价格/航班动态/直飞筛选.

Blockedguard blocked the skill: signs of malicious behaviour
ClawHub Agent Skills author: AI4MSE v0.4.4 MIT-0 21 files body ≈ 1 329 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 45/100 · Will not run — References files that are not bundled: LICENSE

IntegrationSoftware developmentInfrastructuretype 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
F
31/100
safety, quality, tests
Safety 60%
10
Quality 40%
63
Run on models
none yet
Process rating
F
45/100
Will not run
References files that are not bundled: 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
Guard blocked this skill: critical findings below. Do not install it until the author fixes them.

The same skill appears in 1 more place: ClawHub

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Secrets in code
If you install

The files contain someone else's key or token. If it is live, your agent will call third-party services under a stranger's identity; if it was revoked, the skill's scripts simply fail. Such a key often arrives with the author's whole workspace, personal data included.

For the author

The key is visible to everyone who downloaded the skill and has likely been copied by catalog-scanning bots already. Revoke it now, check bills and access logs, then reissue.

How to improve

  1. Remove the critical guard findings (secrets, dangerous commands, hidden instructions): while they stand the skill is blocked and cannot grade above F.
  2. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  3. 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 · 2

  • critical Secrets in code secret-openai-key sources/fliggy_mcp.py:44
    OpenAI-style API key (quoted — discussed, not commanded)
    DEFAULT_API_KEY = "sk-f…6rZ"
    quoted
Medium and low: 1
  • low Secrets in code secret-high-entropy-token sources/fliggy_mcp.py:44
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    DEFAULT_API_KEY = "sk-f…6rZ"
    quoted

Files scanned: 21. 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)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: LICENSE
  • note frontmatter-key unknown frontmatter key "icon"
  • note frontmatter-key unknown frontmatter key "acceptLicenseTerms"

Process rating: all ten parameters 45/100

Will not run. References files that are not bundled: LICENSE
  • 0Tools and files. 1 referenced file(s) missing: 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
  • 40Consistency. Frontmatter name (flyclaw (Flight N-in-1 Search Zero Login)) differs from the folder (flyclaw)
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 27 steps
  • 100Execution cost. Instruction body is 1329 tokens
  • 100Running it twice. No mutating operations
  • low 12 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 166: enough signal without eating the budget
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 27 items
  • +3Output format is stated explicitly
  • +4Has examples (10 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: suspicious
FlyClaw appears to be a real flight-search tool, but its default Fliggy integration quietly creates a persistent device identifier and sends device/context metadata despite broad privacy claims.
LLM: suspicious (high) · VirusTotal: · 29 May 2026