What is capture-fixtures?

A procedure for refreshing Garmin API test data by running a script with the owner’s live Garmin session. The resulting capture contains personal health data and is kept separate from the synthetic fixtures used in normal testing.

Use it when a Garmin library or API changes, fixture-based contract tests become stale, or the owner specifically asks to recapture fixtures. The owner must run the capture script themselves.

It keeps test data aligned with changes in Garmin’s API response formats while preventing agents and CI from accessing the owner’s account. It also explains how real captures are overlaid on safe sample data.

How snoozelieb/coach-mcp configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to snoozelieb/coach-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/snoozelieb/coach-mcp/main/.claude/skills/capture-fixtures/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/snoozelieb/coach-mcp

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/snoozelieb/coach-mcp/capture-fixtures/github.svg)](https://agentmods.dev/skills/snoozelieb/coach-mcp/capture-fixtures)

Your own site

<a href="https://agentmods.dev/skills/snoozelieb/coach-mcp/capture-fixtures"><img src="https://agentmods.dev/badge/skills/snoozelieb/coach-mcp/capture-fixtures/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/snoozelieb/coach-mcp/capture-fixtures"><img src="https://agentmods.dev/badge/skills/snoozelieb/coach-mcp/capture-fixtures.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 501 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00055	$0.00501
Opus 5	$0.00028	$0.00251
Sonnet 5	$0.00011	$0.00100
Haiku 4.5	$0.00006	$0.00050

Measured 12d ago against content hash a40725a0f078, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

capture-fixtures scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/capture-fixtures/SKILL.md · 48 lines

What it actually says

Refreshing Garmin test fixtures

The rule that matters most

python scripts/capture_fixtures.py hits the live Garmin API with the owner's session and writes personal health data. Agents and CI must NEVER run it. Ask the user to run it themselves — suggest the ! prefix so the output lands in the session:

! python scripts/capture_fixtures.py

How the two-layer fixture system works

tests/fixtures/garmin_sample.json — committed, fully synthetic values with real response shapes. Clean checkouts run every fixture-driven test from this alone.
test_fixtures.json (repo root) — the real capture, gitignored (even redacted it contains sleep/HRV/weight/load data). The garmin_fixtures fixture in tests/conftest.py loads the sample first and overlays the real capture where present, so real-shape regressions surface on the owner's machine while clean checkouts stay green.

The capture script redacts obvious PII before writing (names/emails → "REDACTED", profile/device ids → 0, GPS coordinates removed).

When to refresh

A garminconnect upgrade or Garmin API change alters response shapes (tests/test_garmin_contract.py failing is the usual tell).
A new endpoint was added to the codebase — also add it to the capture list in scripts/capture_fixtures.py and a synthetic shape to garmin_sample.json + FakeGarminClient.

Prerequisites & verification

Valid Garmin session (.garth/ tokens or credentials in .env); if auth fails: python scripts/garmin_login.py (also owner-run — interactive MFA).
Afterwards: confirm git status does NOT list test_fixtures.json (it must stay gitignored), then python -m pytest -q — real shapes now overlay the synthetic ones.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

12d ago First seen · 48 lines · 55 tokens per session scan A a40725a0f078

Subscribe to this mod's changes

capture-fixtures is a skill published in the GitHub repository snoozelieb/coach-mcp (2 stars, last pushed 15d ago), licensed MIT. It adds 55 tokens to every session and 501 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Testing

research-engineer

An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.

davila7/claude-code-templates · 43 tokens

tika-eval-compare

Compare extracts from two Tika builds over a corpus to detect regressions in content, encoding, exceptions, and embedded-document handling. Use for "compare before/after extracts", "eval this change against the corpus".

apache/tika · 50 tokens

neuron-evaluation-engineer

Create and run AI evaluations with datasets, assertions, and output drivers in Neuron AI. Use this skill whenever the user mentions evaluation, testing AI systems, creating evaluators, dataset-driven testing, assertion-based validation, or wants to measure AI system performance. Also trigger for tasks involving…

neuron-core/neuron-ai · 77 tokens

coach-mcp: Skill for Claude Code