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FC marriott

搜索并预订万豪旅享家酒店（marriott.com.cn）。当用户提到酒店搜索、万豪预订、查找入住等需求时调用。

Not recommendedcritical or high security findings · low grade F
ClawHub Agent Skills author: qianjunye v1.0.0 12 files · 2 scripts body ≈ 498 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

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
F
28/100
safety, quality, tests
Safety 60%
0
Quality 40%
69
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

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 If it is live, your agent will call third-party services under a stranger's identity; if it was revoked, the skill's scripts simply fail.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.

Exfiltration
If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
  2. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 9

  • high Secrets in code meta-credential-files .env
    Credential / dotenv files bundled with the skill (1)
    .env
  • high Exfiltration exfil-read-secret-files 使用指南.md:24
    Reads credential / secret files
    cp ~/Library/Application\ Support/Google/Chrome/Default/Cookies \
  • high Exfiltration intent-browser-credential-store 使用指南.md:24
    Accesses a browser credential / cookie store
    cp ~/Library/Application\ Support/Google/Chrome/Default/Cookies \
  • high Exfiltration intent-browser-credential-store 使用指南.md:140
    Accesses a browser credential / cookie store
    每次重启 Chrome 时重新复制 Cookies 文件（登录态由 Cookie 保持，每次复制时需保证原 Chrome 已关闭）：
  • high Exfiltration exfil-read-secret-files 使用指南.md:143
    Reads credential / secret files
    cp ~/Library/Application\ Support/Google/Chrome/Default/Cookies \
  • high Exfiltration intent-browser-credential-store 使用指南.md:143
    Accesses a browser credential / cookie store
    cp ~/Library/Application\ Support/Google/Chrome/Default/Cookies \
Medium and low: 3
  • medium Exfiltration intent-browser-credential-store skill-book.js:73
    Accesses a browser credential / cookie store (quoted — discussed, not commanded)
    process.stderr.write('❌ 没有 cookies.json 且无法连接 Chrome\n');
    quoted
  • medium Exfiltration intent-browser-credential-store skill-rooms.js:46
    Accesses a browser credential / cookie store (quoted — discussed, not commanded)
    process.stderr.write('❌ 没有 cookies.json 且无法连接 Chrome\n');
    quoted
  • low Secrets in code secret-high-entropy-token package-lock.json:31
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…uWm+fFRcIOgKBMiOBP+eXiy…9ab+DDKA==",
    detector

Files scanned: 11. 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")

Process rating: all ten parameters 53/100

  • 0Result and completion. Does not say what the result is
  • 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
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 6 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 498 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 56: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 5 headings
  • +3Step-by-step instructions: 6 items
  • +4Has examples (6 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
This Marriott booking skill needs review because it reuses and stores browser login state, bypasses bot protections, and can submit real hotel reservations.
LLM: suspicious (high) · VirusTotal: suspicious · 28 May 2026