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-gateWrote 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-gate)<a href="https://agentmods.dev/skills/arrrrny/zuraffa/speckit-gym-gate"><img src="https://agentmods.dev/badge/skills/arrrrny/zuraffa/speckit-gym-gate/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-gate"><img src="https://agentmods.dev/badge/skills/arrrrny/zuraffa/speckit-gym-gate.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 | $0.00020 | $0.00282 |
| Opus 5 | $0.00010 | $0.00141 |
| Sonnet 5 | $0.00004 | $0.00056 |
| Haiku 4.5 | $0.00002 | $0.00028 |
Grade A, and why
speckit-gym-gate 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: Gate
Query the current gate state. This is the host-enforcement surface: a host (CLI,
CI, service, or the optional before_implement hook) queries it before letting an
operator perform the real task.
Usage
bash .specify/extensions/gym/scripts/bash/gym.sh gate
# or PowerShell:
powershell .specify/extensions/gym/scripts/powershell/gym.ps1 gate
Output
Prints open or closed to stdout and exits 0 when open, 1 when closed.
- If
gym/.gateexists, its stored state is returned (the gate is the source of truth). - If it does not exist yet (no run has happened), the gate is reported
closed.
Hosts should treat closed as "do not proceed." Pair this with the optional
before_implement hook bound to speckit.gym.gate to block implementation until
the operator has cleared GYM.
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.
- 7d ago Changed · -33 lines · -20 tokens per session a5bbe64896ac
- 11d ago First seen · 34 lines · 20 tokens per session scan A be3fb4bbe73a
speckit-gym-gate is a skill published in the GitHub repository arrrrny/zuraffa (5 stars, last pushed today), licensed MIT. It adds 20 tokens to every session and 282 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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