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BD amap-roadbook

当用户想把自然语言旅行想法生成高德/Amap 路书，或生成可公网访问的 HTML/Excel/JSON 路书产物时使用。本 skill 会先反问缺失信息，再进行地点解析、POI 搜索、路线规划、每日时间线、天气提醒、假设说明，并默认发布到公网静态目录以便访问和下载。需要用户配置高德 Web Service API Key、JavaScript API Key 和 JS 安全密钥。

ClawHub Agent Skills author: XiaoZuoOvO v1.0.3 MIT-0 14 files body ≈ 1 549 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

当用户想把自然语言旅行想法生成高德/Amap 路书，或生成可公网访问的 HTML/Excel/JSON 路书产物时使用。本 skill 会先反问缺失信息，再进行地点解析、POI 搜索、路线规划、每日时间线、天气提醒、假设说明，并默认发布到公网静态目录以便访问和下载。需要用户配置高德 Web Service API…

As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationExcelData and analyticsSoftware 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
89/100
safety, quality, tests
Safety 60%
95
Quality 40%
79
Run on models
none yet
Process rating
D
39/100
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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token package-lock.json:32
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…e38+6NQZ…HmC+T7k8LvA==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:92
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…pjs+EVnW…hE7+ZyY8…tdA==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:122
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…uyQ+a1ko…Tn4+E0Ti6C2AA==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:176
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…FSj+bWLt…2sH/Kn8E…h6w==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:332
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…pjs+EVnW…hE7+ZyY8…tdA==",
    detector

Files scanned: 14. 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 39/100

  • 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
  • 30Running it twice. 16 mutating operations with no state check
  • 40Consistency. Frontmatter name (amap-roadbook) differs from the folder (amap-road-book)
  • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
  • 100Steps. 69 steps
  • 100Execution cost. Instruction body is 1549 tokens
  • 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 191: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 69 items
  • +4Has examples (12 code blocks)
  • +4Reference files are cited in the instructions (3 of 4)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: suspicious
This skill is a real Amap travel-roadbook generator, but it defaults to public publishing and can expose itinerary details and Amap credentials.
LLM: suspicious (high) · VirusTotal: · 15 Jun 2026