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BF mediwise-health-suite

Family health management suite: health records, diet tracking, weight management, wearable sync. Local SQLite storage by default; optional cloud features require explicit setup.

ClawHub Agent Skills author: JuneYaooo v2.0.8 MIT-0 80 files · 1 script body ≈ 1 465 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 35/100 · Will not run — References files that are not bundled: LICENSE

ProcedureAI and agentstype 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
80/100
safety, quality, tests
Safety 60%
95
Quality 40%
58
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: LICENSE
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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 Exfiltration read-dotenv docs/AGENT_SETUP.md:219
    Reads a .env file
    cp .env.example .env
  • low Exfiltration read-dotenv docs/INSTALLATION.md:65
    Reads a .env file
    cp .env.example .env
  • low Exfiltration read-dotenv docs/INSTALLATION.md:288
    Reads a .env file
    cp .env.example .env
  • low Exfiltration read-dotenv QUICKSTART.md:150
    Reads a .env file
    cp .env.example .env
  • low Exfiltration read-dotenv QUICKSTART.md:320
    Reads a .env file
    cp .env.example .env

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")
  • warning missing-ref reference to a missing file: LICENSE
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "repository"
  • note frontmatter-key unknown frontmatter key "keywords"
  • note frontmatter-key unknown frontmatter key "requires"

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: LICENSE
  • 0Tools and files. 1 referenced file(s) missing: LICENSE
  • 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
  • 100Steps. 48 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1465 tokens
  • 100Running it twice. No mutating operations
  • low 10 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (3 tags): a typed call is more reliable

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
  • -2localhost URLs: will not work for another user
  • -43 reference files, but SKILL.md never points to them: the model will not open them
  • +2Single-language instructions
  • +3Description length 177: enough signal without eating the budget
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 48 items
  • +4Has examples (10 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 58.

External checks

ClawHub: suspicious
This health skill is mostly purpose-aligned, but it handles very sensitive health data with under-scoped multi-user access controls and some under-disclosed network and file-serving behavior.
LLM: suspicious (high) · VirusTotal: · 29 May 2026