Borrowing it
Nothing to install: this file belongs to nantobv/pituitary. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/nantobv/pituitary/main/GEMINI.mdgit clone --depth 1 https://github.com/nantobv/pituitaryWrote 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/instructions/nantobv/pituitary/gemini-md)<a href="https://agentmods.dev/instructions/nantobv/pituitary/gemini-md"><img src="https://agentmods.dev/badge/instructions/nantobv/pituitary/gemini-md.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 5.1 | $0.00660 | $0.00660 |
| Opus 5 | $0.00330 | $0.00330 |
| Sonnet 5 | $0.00132 | $0.00132 |
| Haiku 4.5 | $0.00066 | $0.00066 |
Grade A, and why
pituitary GEMINI.md 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 8d 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.
This is a copy
92% identical to pituitary CLAUDE.md — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generated from
AGENTS.md. EditAGENTS.md, then rerunscripts/sync-ai-docs.sh --write. If this file conflicts withAGENTS.md,AGENTS.mdwins. Gemini-specific refresh behavior belongs in tooling, not in a second policy file.
AGENTS.md
Canonical AI policy for this repo. If model-specific mirrors exist, generate them from this file.
Project
Pituitary is a consistency governance tool that keeps specifications, documentation, and code aligned. It builds a temporal, confidence-weighted governance graph from spec bundles and docs, then runs overlap, drift, compliance, impact, and freshness analysis against it. The current repo is focused on local filesystem inputs, Markdown docs, SQLite-backed indexing, a CLI-first interface, an optional MCP wrapper, and repo CI validation.
Coding Standards
- Read README.md and ARCHITECTURE.md before deep implementation work. Use the active GitHub issues for backlog and priority context.
- If you touch core write paths or repo governance, also read docs/development/repo-governance.md.
- Treat repository docs as the primary source of truth; keep GitHub issues aligned with them rather than the reverse.
- Prefer small, reversible changes and deterministic tooling over hand-maintained generated state.
- Keep outputs machine-readable where the architecture expects JSON-first behavior.
Architecture Rules
- First ship is CLI-first. Keep the CLI as the required transport and do not make core behavior depend on MCP, even though the repo also ships an optional MCP wrapper.
- Scope is local filesystem only:
spec.toml+body.mdbundles, Markdown docs, SQLite, andsqlite-vec. - The repo ships CI for fmt, readiness, test, and vet validation, but GitHub- or vendor-specific reporting integrations remain out of scope.
- Spec and doc analysis come before code-compliance features.
- Canonical contract decisions live in
ARCHITECTURE.md; update repo docs and GitHub issues together when those contracts change.
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 First seen · 51 lines · 660 tokens per session scan A 9cdb4d48b6e8
pituitary GEMINI.md is an instructions file published in the GitHub repository nantobv/pituitary (22 stars, last pushed 3mo ago), licensed MIT. It adds 660 tokens to every session, about $0.0033 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to pituitary CLAUDE.md, differing in 1 line, and is treated as a copy.
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