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BD garmin-pulse

Syncs daily health and fitness data from Garmin Connect into markdown files. Provides sleep, activity, heart rate, stress, body battery, HRV, SpO2, and weight data.

ClawHub Claude Code author: freakyflow v1.3.1 4 files body ≈ 681 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Syncs daily health and fitness data from Garmin Connect into markdown files.

As a process D 47/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

Referencetype 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
87/100
safety, quality, tests
Safety 60%
98
Quality 40%
71
Run on models
none yet
Process rating
D
47/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
20
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.
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Dangerous commands cmd-pipe-to-shell-known-host README.md:57
    Pipe-to-shell installer from a well-known host (still executes remote code) (quoted — discussed, not commanded)
    - Linux/WSL: `curl -LsSf https://astral.sh/uv/install.sh | sh`
    quoted
  • low Dangerous commands cmd-execpolicy-bypass README.md:58
    Runs PowerShell with execution policy bypassed (quoted — discussed, not commanded)
    - Windows: `powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"`
    quoted

Files scanned: 4. 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")
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 47/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 50Steps. 2 steps
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 60Failures and branches. 2 branches
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 681 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress

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)
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 164: enough signal without eating the budget
  • +4Structure: 7 headings
  • +4Has examples (4 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: suspicious
The skill appears purpose-built for Garmin health syncing, but it asks users to weaken account security and relies on broad sensitive-data access with under-scoped safeguards.
LLM: suspicious (high) · VirusTotal: benign · 10 Sept 2026