Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add philipyaz/cos --skill fitness-weekly-reviewgit clone --depth 1 https://github.com/philipyaz/cosWrote 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.
[](https://agentmods.dev/skills/philipyaz/cos/fitness-weekly-review)<a href="https://agentmods.dev/skills/philipyaz/cos/fitness-weekly-review"><img src="https://agentmods.dev/badge/skills/philipyaz/cos/fitness-weekly-review/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.
<a href="https://agentmods.dev/skills/philipyaz/cos/fitness-weekly-review"><img src="https://agentmods.dev/badge/skills/philipyaz/cos/fitness-weekly-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00222 | $0.02473 |
| Opus 5 | $0.00111 | $0.01236 |
| Sonnet 5 | $0.00044 | $0.00495 |
| Haiku 4.5 | $0.00022 | $0.00247 |
Grade A, and why
fitness-weekly-review scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **`fitness` MCP only, via the tools** — never `bash`/`curl` for health data. How it starts
The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fitness — Weekly Review (the look-back operator)
This is the weekly-review sub-skill of fitness-coach — read that skill for the
shared philosophy, the canonical health taxonomy, and the enable-gate. Here you do one
thing: turn "how was my training this week?" into a persisted weekly_review artifact
on the board.
The board is a state machine; YOU are the coach. There is no board-side LLM — the
board never generates the review. It computes the deterministic numbers (the form score
is a board compute you read, you do not recompute it), validates + versions + stores your
JSON, and serves it on the /fitness/weekly-review history feed (latest-by-default,
page-back, upserted by ISO week). You FETCH the inputs via the fitness MCP, synthesise
the review yourself, and save_weekly_review it. The write is attributed to the agent
and no board Anthropic key is involved.
Gate (same as fitness-coach).
save_weekly_reviewis an add-on-gated write — it 404s ("Not found — the fitness add-on may be disabled.") when the Fitness add-on is off; tell the user to enable it at /addons and retry (you don't enable it yourself). All the FETCH reads below are ungated — read freely.
NOT MEDICAL ADVICE. A weekly review is an informational estimate, not medical advice — carry that framing whenever you read recovery, load, or sleep. Defer to a professional for any injury, pain, illness, abnormal symptom, pregnancy, or an under-18 user; a "back off / recover" read on low HRV or poor sleep is a conservative default, not clinical judgement.
The ISO week + its bounds
The review is keyed on the ISO week (e.g. 2026-W25) — re-saving the same week
upserts in place (no duplicate). Resolve the week from the user's intent ("this week"
= the current ISO week; "last week" = the prior one) and compute its bounds: Monday
(inclusive) to the next Monday (exclusive, half-open) so every FETCH covers exactly that
week. Use those as from / to throughout.
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 · 167 lines · 222 tokens per session scan A dea6fbbcdff4
fitness-weekly-review is a skill published in the GitHub repository philipyaz/cos (4 stars, last pushed 2d ago), licensed MIT. It adds 222 tokens to every session and 2,473 once invoked, about $0.0011 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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