Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/arrrrny/zuraffanpx agentmods add skills/arrrrny/zuraffa/speckit-gym-warmupWrote 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/arrrrny/zuraffa/speckit-gym-warmup)<a href="https://agentmods.dev/skills/arrrrny/zuraffa/speckit-gym-warmup"><img src="https://agentmods.dev/badge/skills/arrrrny/zuraffa/speckit-gym-warmup/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/arrrrny/zuraffa/speckit-gym-warmup"><img src="https://agentmods.dev/badge/skills/arrrrny/zuraffa/speckit-gym-warmup.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 | $0.00022 | $0.00266 |
| Opus 5 | $0.00011 | $0.00133 |
| Sonnet 5 | $0.00004 | $0.00053 |
| Haiku 4.5 | $0.00002 | $0.00027 |
Grade A, and why
speckit-gym-warmup 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 6d 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.
What it actually says
GYM: Warmup
Warmup only — grow the operator's reflexes without the graded exercises. Skips Phase 2 entirely.
Usage
bash .specify/extensions/gym/scripts/bash/gym.sh warmup
# or PowerShell:
powershell .specify/extensions/gym/scripts/powershell/gym.ps1 warmup
What it does
- Loads reps from the warmup location and runs each
verify. - Reports the board (grown / total). If every rep is grown, prints
READY (warmup)and exits0. Otherwise exits1. - Writes
gym/.gateasclosed(warmup only) — the full gate is not cleared until a fullrunpasses the exercises too.
Use this to verify reflexes quickly, or as the gating step before granting access to a sandbox without requiring a full graded run.
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.
- 8d ago Changed · -32 lines · -22 tokens per session cb9c02d8ea63
- 11d ago First seen · 33 lines · 22 tokens per session scan A fefd40faa6fb
speckit-gym-warmup is a skill published in the GitHub repository arrrrny/zuraffa (5 stars, last pushed today), licensed MIT. It adds 22 tokens to every session and 266 once invoked, about $0.0001 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.
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