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面向个人用户的健康数据查询助手,通过自然语言与 Apple Health 数据交互，可产出提升工作效率. 适用于需要apple health tool相关能力的开发场景,提供结构化的工作流程和配置指引. 该工具经过深度差异化处理,针对用户反馈和使用痛点进行了优化改进,提升了实用性和可操作性.

ClawHub Hermes author: 天轰穿 v1.0.2 MIT-0 2 files body ≈ 1 611 tokens Open the sourceclawhub.ai↗ analyzed 27 h ago

面向个人用户的健康数据查询助手,通过自然语言与 Apple Health 数据交互，可产出提升工作效率.

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Hermes Agent
JSON
Technical rating
C
74/100
safety, quality, tests
Safety 60%
80
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

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. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
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 · 4

✓ No critical or high findings

Medium and low: 4
  • medium Exfiltration net-credential-use SKILL.md:78
    Credential used in a network call (verify the destination is the intended service)
    curl -X POST -H "X-API-ref: $TRANSITION_API_KEY" \
  • medium Exfiltration net-credential-use SKILL.md:97
    Credential used in a network call (verify the destination is the intended service)
    curl -X POST -H "X-API-ref: $TRANSITION_API_KEY" \
  • medium Exfiltration net-credential-use SKILL.md:136
    Credential used in a network call (verify the destination is the intended service)
    curl -s -H "X-API-ref: $TRANSITION_API_KEY" \
  • medium Exfiltration net-credential-use SKILL.md:205
    Credential used in a network call (verify the destination is the intended service)
    curl -H "X-API-ref: $TRANSITION_API_KEY" \

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 146 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning description-no-when neither description nor a "## When to Use" section says when to use the skill
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "summary"
  • note frontmatter-key unknown frontmatter key "edition"
  • note frontmatter-key unknown frontmatter key "tools"
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "pricing_tier"

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. Tools declared in frontmatter
  • 100Steps. 13 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1611 tokens
  • 100Running it twice. No mutating operations
  • low 12 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
  • +2Single-language instructions
  • +3Description length 146: enough signal without eating the budget
  • +4Structure: 38 headings
  • +3Step-by-step instructions: 13 items
  • +4Has examples (12 code blocks)
  • +1License stated

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

External checks

ClawHub: suspicious
This appears to be a real Apple Health/Transition assistant, but it gives broad agent authority around sensitive health data without enough scoping or safeguards.
LLM: suspicious (high) · 26 Jul 2026