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BD travel-master-v4

旅游大师V4 - 数学收敛守卫 + 真实API + 并行商家链接 + 拟人化响应式HTML攻略生成系统

ClawHub Agent Skills author: Timo2026 v1.0.3 MIT-0 18 files · 1 script body ≈ 892 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process D 49/100 · Unfinished process — 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
B
85/100
safety, quality, tests
Safety 60%
96
Quality 40%
69
Run on models
none yet
Process rating
D
49/100
Unfinished process
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

How to improve

  1. 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 · 4

✓ No critical or high findings

Medium and low: 4
  • low Exfiltration read-dotenv docs/保姆教程.md:80
    Reads a .env file
    cp .env.example .env
  • low Exfiltration read-dotenv README.md:37
    Reads a .env file
    cp .env.example .env
  • low Exfiltration read-dotenv SKILL.md:166
    Reads a .env file
    cp .env.example .env
  • low Dangerous commands cmd-background-process SKILL.md:176
    Starts a background / autostarted process
    nohup bash watchdog.sh > /tmp/watchdog.log 2>&1 &

Files scanned: 18. 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")
  • note frontmatter-key unknown frontmatter key "priority"
  • note frontmatter-key unknown frontmatter key "keywords"
  • note frontmatter-key unknown frontmatter key "triggers"
  • note frontmatter-key unknown frontmatter key "config"
  • note frontmatter-key unknown frontmatter key "output"
  • note frontmatter-key unknown frontmatter key "repository"

Process rating: all ten parameters 49/100

  • 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
  • 40Consistency. Frontmatter name (travel-master-v4) differs from the folder (travel-master-v4-clawhub)
  • 100Tools and files. No external tools needed
  • 100Steps. 7 steps
  • 100Execution cost. Instruction body is 892 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)
  • +3Description length 51: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -213 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 7 items
  • +4Has examples (8 code blocks)
  • +4Reference files are cited in the instructions (2 of 3)
  • +1License stated

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

External checks

ClawHub: suspicious
This travel-planning skill is not clearly malicious, but its real API/payment claims, forced multi-channel delivery, and background-start documentation need review before use.
LLM: suspicious (high) · VirusTotal: · 29 May 2026