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BC flyai-elder-travel-care-core

自由行旅游出行管家的统一入口，负责意图识别、路由分发和跨技能协调。当父母提到"行程查询"、"不舒服"、"迷路了"、"评价服务"、"看照片"等时使用。

ClawHub Agent Skills author: suying1023 v1.0.0 MIT-0 14 files body ≈ 2 422 tokens Open the sourceclawhub.ai↗ analyzed 3 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
B
84/100
safety, quality, tests
Safety 60%
98
Quality 40%
64
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

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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Exfiltration exfil-secret-in-url tools/tool-api-reference.md:478
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
    GET https://restapi.amap.com/v3/place/text?key=…&keywords=大理古城&city=大理&output=json
    placeholder
  • low Exfiltration exfil-secret-in-url tools/tool-api-reference.md:496
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
    GET https://restapi.amap.com/v3/direction/driving?origin=…&destination=…&key=…
    placeholder

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")
  • note frontmatter-key unknown frontmatter key "title"
  • note frontmatter-key unknown frontmatter key "department"
  • note frontmatter-key unknown frontmatter key "created_at"
  • note frontmatter-key unknown frontmatter key "updated_at"
  • note frontmatter-key unknown frontmatter key "dependencies"

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. No external tools needed
  • 100Steps. 81 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2422 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 74: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -233 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 35 headings
  • +3Step-by-step instructions: 81 items
  • +4Has examples (16 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: suspicious
This skill is a disclosed elder-travel assistant, but it asks agents to handle emergency dispatch, health records, live location, media sharing, and delegated authority with weak boundaries.
LLM: suspicious (high) · VirusTotal: · 29 May 2026