Borrowing it
Nothing to install: this file belongs to rogermt/mcp-repo-onboarding. 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/rogermt/mcp-repo-onboarding/master/GEMINI.mdgit clone --depth 1 https://github.com/rogermt/mcp-repo-onboardingWrote 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/rogermt/mcp-repo-onboarding/gemini-md)<a href="https://agentmods.dev/instructions/rogermt/mcp-repo-onboarding/gemini-md"><img src="https://agentmods.dev/badge/instructions/rogermt/mcp-repo-onboarding/gemini-md/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/instructions/rogermt/mcp-repo-onboarding/gemini-md"><img src="https://agentmods.dev/badge/instructions/rogermt/mcp-repo-onboarding/gemini-md.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 | $0.00904 | $0.00904 |
| Opus 5 | $0.00452 | $0.00452 |
| Sonnet 5 | $0.00181 | $0.00181 |
| Haiku 4.5 | $0.00090 | $0.00090 |
Grade A, and why
mcp-repo-onboarding GEMINI.md 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 10d 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
- No code execution (no `subprocess.run` on user code). How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Current Status
- Phase 7 (Domain Specialization): COMPLETE (Notebook detection, Prompt/Tool UX).
- Phase 8 (Refinement): ACTIVE (Determinism, Maintainability, Scaffold).
- Validation Authority:
scripts/validate_onboarding.pyis the source of truth.
Output Verification
...
Stable API / naming (must not drift)
Repo/package/binary: mcp-repo-onboarding
Default onboarding file: ONBOARDING.md
MCP tool names are a stable API and must not change:
pinganalyze_repoget_run_and_test_commandsread_onboardingwrite_onboardingget_onboarding_template(New: Returns authoritative prompt)
MCP prompts:
generate_onboarding(New: Slash command /generate_onboarding)
ALL code changes MUST follow Test-Driven Development:* 0. submit plan overwrite /home/rogermt/mcp-repo-onboarding/docs/development/plan.md
- Write failing test FIRST in
tests/. - Run test to confirm failure (
uv run pytest). - Implement the fix in
src/. - Run test to confirm pass (
uv run pytest).
see /home/rogermt/mcp-repo-onboarding/docs/design/SOFTWARE_DESIGN_GUIDE.md
Key Phase 6 Artifacts (Reference)
- Validator:
scripts/validate_onboarding.py(Run this to verifyONBOARDING.mdcompliance). - Requirements:
docs/development/REQUIREMENTS.md(Updated for Python-only scope & infrastructure). - Prompt Contract:
docs/evaluation/B-prompt.txt(The prompt template that must be satisfied). - Ignore Logic:
docs/design/ignore-handling.md(Docs forIgnoreMatcher). - Phase 7 Log:
docs/development/DEV Phase 7.md(Current work log).
Build & Run (uv required)
This project uses uv for dependency management.
- Sync Dependencies:
uv sync - Run Tests:
uv run pytest - Run Server:
uv run mcp-repo-onboarding - Lint/Format:
uv run ruff check .
Setup for Gemini-Cli
- Create Directory
mkdir .gemini
- Create JSON File
Create a file named settings.json inside the .gemini directory with the following content:
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.
- 10d ago First seen · 96 lines · 904 tokens per session scan A 4c677389a271
mcp-repo-onboarding GEMINI.md is an instructions file published in the GitHub repository rogermt/mcp-repo-onboarding (2 stars, last pushed 2mo ago), licensed MIT. It adds 904 tokens to every session, about $0.0045 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.