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BD pediatric-health-record

云端付费儿科健康档案整理服务。本服务面向 0–3 岁婴幼儿家长/法定监护人：在用户主动提供资料并明确同意的前提下，将本次调用所需的婴幼儿健康信息经 TLS 加密后提交至商户服务器 mch.1001058.xyz，用于生成结构化儿童健康档案（WHO 2006 月龄百分位、疫苗记录、喂养与筛查要点）。资料仅用于本次档案生成，不做疾病诊断，不向第三方出售或共享。

ClawHub Agent Skills author: williswu v0.1.0 MIT-0 11 files body ≈ 731 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

云端付费儿科健康档案整理服务。本服务面向 0–3 岁婴幼儿家长/法定监护人：在用户主动提供资料并明确同意的前提下，将本次调用所需的婴幼儿健康信息经 TLS 加密后提交至商户服务器 mch.1001058.xyz，用于生成结构化儿童健康档案（WHO 2006…

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentsCommercetype 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
86/100
safety, quality, tests
Safety 60%
98
Quality 40%
67
Run on models
none yet
Process rating
D
46/100
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Exfiltration read-dotenv mch-demo/Dockerfile:14
    Reads a .env file
    # 如需默认值，可改为 COPY .env.example .env.example
  • low Dangerous commands cmd-background-process mch-demo/部署说明.md:33
    Starts a background / autostarted process (quoted — discussed, not commanded)
    5. 启动：`sudo systemctl enable --now caddy`（或 `caddy run`）。Caddy 自动申请并续期证书。
    quoted

Files scanned: 9. 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 "pricing"

Process rating: all ten parameters 46/100

  • 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. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (pediatric-health-record) differs from the folder (pediatric-health-record-paid)
  • 100Tools and files. No external tools needed
  • 100Steps. 36 steps
  • 100Execution cost. Instruction body is 731 tokens

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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 179: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 36 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: suspicious
The skill is mostly coherent, but it handles children’s health data and payment credentials with weak retention and deployment safeguards that users should review before installing.
LLM: suspicious (high) · 7 Aug 2026