Borrowing it
Nothing to install: this file belongs to ceshine/git-prompts-mcp-server. 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/ceshine/git-prompts-mcp-server/main/AGENTS.mdgit clone --depth 1 https://github.com/ceshine/git-prompts-mcp-serverWrote 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/ceshine/git-prompts-mcp-server/agents-md)<a href="https://agentmods.dev/instructions/ceshine/git-prompts-mcp-server/agents-md"><img src="https://agentmods.dev/badge/instructions/ceshine/git-prompts-mcp-server/agents-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 | $0.00591 | $0.00591 |
| Opus 5 | $0.00296 | $0.00296 |
| Sonnet 5 | $0.00118 | $0.00118 |
| Haiku 4.5 | $0.00059 | $0.00059 |
Grade A, and why
git-prompts-mcp-server AGENTS.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 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.
How it starts
The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Development Guidelines
Philosophy
Core Beliefs
- Incremental progress over big bangs - Small changes that compile and pass tests
- Learning from existing code - Study and plan before implementing
- Pragmatic over dogmatic - Adapt to project reality
- Clear intent over clever code - Be boring and obvious
Simplicity Means
- Single responsibility per function/class
- Avoid premature abstractions
- No clever tricks - choose the boring solution
- If you need to explain it, it's too complex
Technical Standards
Architecture Principles
- Composition over inheritance - Use dependency injection
- Interfaces over singletons - Enable testing and flexibility
- Explicit over implicit - Clear data flow and dependencies
- Test-driven when possible - Never disable tests, fix them
Error Handling
- Fail fast with descriptive messages
- Include context for debugging
- Handle errors at appropriate level
- Never silently swallow exceptions
Code Style Guidelines
When writing or modifying Python code, you MUST adhere to the PEP-8 style guide. Pay particular attention to:
- Import Grouping: Imports should be grouped in the following order, with a blank line separating each group:
- Standard library imports (e.g.,
os,sys,json) - Third-party imports (e.g.,
fastapi,pydantic,uvicorn) - Local application/monorepo-specific imports
- Standard library imports (e.g.,
- Naming conventions, and whitespace.
Decision Framework
When multiple valid approaches exist, choose based on:
- Testability - Can I easily test this?
- Readability - Will someone understand this in 6 months?
- Consistency - Does this match project patterns?
- Simplicity - Is this the simplest solution that works?
- Reversibility - How hard to change later?
Python Environment (UV)
This project uses uv for Python setup and dependency management.
- Prepare the environment (creates/updates the virtualenv from the lockfile):
- uv sync --frozen
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.
- 6d ago First seen · 77 lines · 591 tokens per session scan A 50210c0251fd
git-prompts-mcp-server AGENTS.md is an instructions file published in the GitHub repository ceshine/git-prompts-mcp-server (2 stars, last pushed 5mo ago), licensed MIT. It adds 591 tokens to every session, about $0.0030 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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