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BD garmin-connect

Garmin Connect integration for OpenClaw: sync fitness data (steps, HR, calories, workouts, sleep) using OAuth. Supports China (garmin.cn) and Global (garmin.com) regions. Data is stored in SQLite database for fast access.

ClawHub Agent Skills author: tcyxk v1.0.0 MIT-0 20 files · 1 script body ≈ 1 128 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationInfrastructuretype 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%
91
Quality 40%
63
Run on models
none yet
Process rating
D
49/100
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

The same skill appears in 1 more place: ClawHub

What is at stake

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

Secrets in code 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 files contain someone else's key or token. If it is live, your agent will call third-party services under a stranger's identity; if it was revoked, the skill's scripts simply fail. Such a key often arrives with the author's whole workspace, personal data included.

For the author

The key is visible to everyone who downloaded the skill and has likely been copied by catalog-scanning bots already. Revoke it now, check bills and access logs, then reissue.

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 · 5

✓ No critical or high findings

Medium and low: 5
  • medium Secrets in code secret-labelled-token scripts/daily_health_report_feishu.py:231
    Labelled token / key literal (vendor format unknown — verify it is not a live credential)
    app_secret = "sXYU…8PB"
  • low Secrets in code secret-high-entropy-token scripts/daily_health_report_feishu.py:231
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    app_secret = "sXYU…8PB"
    quoted
  • low Secrets in code secret-password-literal scripts/garmin-auth.py:81
    Hard-coded password / key literal (may be an example)
    password = sys.argv[2]
  • low Secrets in code secret-password-literal scripts/sync_all.py:255
    Hard-coded password / key literal (may be an example)
    password = base…ode(creds['password_encrypted']).decode()
  • low Dangerous commands cmd-background-process SKILL.md:147
    Starts a background / autostarted process
    sudo systemctl enable garmin-sync.timer

Files scanned: 20. 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")

Process rating: all ten parameters 49/100

  • 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
  • 40Consistency. Frontmatter name (garmin-connect) differs from the folder (garmin-connect-skill)
  • 100Tools and files. No external tools needed
  • 100Steps. 30 steps
  • 100Execution cost. Instruction body is 1128 tokens
  • 100Running it twice. No mutating operations
  • low 10 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
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • -215 emoji in the instructions: noise for the model
  • -311 of 16 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 221: enough signal without eating the budget
  • +4Structure: 27 headings
  • +3Step-by-step instructions: 30 items
  • +4Has examples (21 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: suspicious
This appears to be a real Garmin health-sync skill, but it stores sensitive credentials and health reports in risky ways and can send health data to Feishu/webhooks.
LLM: suspicious (high) · VirusTotal: · 29 May 2026