SKILLEMALL.ai

AF open-health-link

Open Health Link 健康数据授权与连接助手。当前接入倍轻松(breo)Scalp5 设备数据, 可查看头皮检测报告、头皮护理方案,或绑定/解绑倍轻松(breo)账号。 仅当用户明确提出“账号绑定/解绑”“报告查询”“护理方案查询” 或明确提到 Open Health Link、breo Scalp5 相关数据查询时使用此技能。

ClawHub Agent Skills author: breo v1.0.6 MIT-0 15 files body ≈ 1 905 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 56/100 · Will not run — References files that are not bundled: ...

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
97
Quality 40%
79
Run on models
none yet
Process rating
F
56/100
Will not run
References files that are not bundled: ...
Tools and files w 18
0
Progress reporting w 2
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

How to improve

  1. 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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Secrets in code secret-high-entropy-token scripts/package-lock.json:161
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…9ZZ/0wAx…8jy/kbhs…gJ5+F2mt…V7I+EoRK…K7A==",
    detector
  • low Secrets in code secret-high-entropy-token scripts/package-lock.json:191
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…2YE+3fQp…lVw==",
    detector
  • low Secrets in code secret-high-entropy-token scripts/package-lock.json:226
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…4hd+2E8N…oYe/ZdlJy+J3uC…Hmg==",
    detector

Files scanned: 15. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ...

Process rating: all ten parameters 56/100

Will not run. References files that are not bundled: ...
  • 0Tools and files. 1 referenced file(s) missing: ...
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 108 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1905 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

  • +4Description does not say when NOT to use the skill (false activations)
  • -42 reference files, but SKILL.md never points to them: the model will not open them
  • -33 of 8 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 2 example trigger phrases
  • +3Description length 171: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 108 items
  • +3Output format is stated explicitly
  • +4Has examples (13 code blocks)

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

External checks

ClawHub: clean
This appears to be a coherent breo Scalp5 health-data connector, but it handles sensitive report data and keeps a local authorization token until unbound.
LLM: benign (high) · VirusTotal: · 29 May 2026