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 agentmods add skills/febradc-github/turnstile/turnstile-parknpx skills add febradc-github/turnstile --skill turnstile-parkgit clone --depth 1 https://github.com/febradc-github/turnstileWrote 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/febradc-github/turnstile/turnstile-park)<a href="https://agentmods.dev/skills/febradc-github/turnstile/turnstile-park"><img src="https://agentmods.dev/badge/skills/febradc-github/turnstile/turnstile-park.svg" alt="Measured on agentmods" 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 | $0.00058 | $0.00739 |
| Opus 5 | $0.00029 | $0.00369 |
| Sonnet 5 | $0.00012 | $0.00148 |
| Haiku 4.5 | $0.00006 | $0.00074 |
Grade A, and why
turnstile-park 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 31 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Park
Process
- Find the
in_progressitem on the current board --turnstile/sprint.yml(sprint ormode: flow), or a legacy rootturnstile/sprint-*.ymlwithsprint.status: active. None: nothing to park; point at the board and stop. - Take the reason from
$ARGUMENTS, or ask -- a few words suffice. - Draft the resume note from the item's
notes, the criteria source (spec/plan/item note), andgit status/git diff: current state (what is done, what is half-done, uncommitted files if any), next step (the single concrete action to take on return), blockers (open questions, missing decisions, or "none"). - Present the resume note and reason; ask for one confirmation. Revise on request. Write nothing until confirmed.
- Once confirmed, in one pass: append or update the
## Resumesection in the item note (US-<n>/TK-<n>; create the note per the turnstile-brain item-note format if a legacy item lacks one) and setupdated; on the board set the item'sstatus: parkedand addparked_at: <now, ISO 8601>; appendparked: <reason>to the item'snotes. - If uncommitted changes exist, remind the user they are still in the working tree (with the stash suggestion above).
- Tell the user the ticket is parked and
/turnstile:pickupwill offer to un-park it.
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.
- 5d ago First seen · 31 lines · 58 tokens per session scan A f88399e5464e
turnstile-park is a skill published in the GitHub repository febradc-github/turnstile (1 stars, last pushed 1mo ago), licensed MIT. It adds 58 tokens to every session and 739 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.
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