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AF keep-record

Assist users in recording personal health data, including diet, weight, body fat, body measurements, exercise, sleep, and menstrual cycle. Activate when the user clearly expresses an intent to record, log, check in, or save health-related information. Examples that should trigger include: - "帮我记录今天体重80kg" - "记一下我跑了5公里" - "把这顿饭记录到Keep" - "记一下我昨晚睡了7小时"

ClawHub Agent Skills author: mijufeng v1.5.8 MIT-0 15 files body ≈ 1 350 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 46/100 · Will not run — References files that are not bundled: url

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
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
F
46/100
Will not run
References files that are not bundled: url
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. 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 · 0

✓ No critical or high findings

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: url
  • note frontmatter-key unknown frontmatter key "priority"
  • note frontmatter-key unknown frontmatter key "trigger"

Process rating: all ten parameters 46/100

Will not run. References files that are not bundled: url
  • 0Tools and files. 1 referenced file(s) missing: url
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 50Failures and branches. 0 branches, has a failure section
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 32 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1350 tokens
  • 100Running it twice. No mutating operations
  • low The response is described with custom markup (4 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -31 of 5 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 353: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 32 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

External checks

ClawHub: suspicious
This appears to be a real Keep health-recording skill, but it has broad automatic activation, persistent local account tokens, install-time side effects, and loosely scoped file upload behavior that users should review carefully.
LLM: suspicious (high) · VirusTotal: · 29 May 2026