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 instructions/moshehata95/shehata-git/agents-mdgit clone --depth 1 https://github.com/moshehata95/Shehata-GitWrote 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/moshehata95/shehata-git/agents-md)<a href="https://agentmods.dev/instructions/moshehata95/shehata-git/agents-md"><img src="https://agentmods.dev/badge/instructions/moshehata95/shehata-git/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 | $0.00304 | $0.00304 |
| Opus 5 | $0.00152 | $0.00152 |
| Sonnet 5 | $0.00061 | $0.00061 |
| Haiku 4.5 | $0.00030 | $0.00030 |
Grade A, and why
Shehata-Git 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 4d 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
AGENTS.md — instructions for AI coding agents
This file tells AI coding agents (Cursor, Claude Code, Codex, Kimi CLI, OpenCode, …) how to work in this repository and how to use Shehata Git itself once it is installed.
Working on the Shehata Git codebase
- Monorepo:
apps/desktop(Tauri + React),crates/*(Rust), pnpm + Cargo. - Business logic lives in Rust crates — never in Tauri handlers or React.
- Run before every commit:
cargo fmt --all && cargo clippy --workspace --all-targets -- -D warnings && cargo test --workspace && pnpm --filter @shehata/desktop typecheck && pnpm --filter @shehata/desktop test - Conventional Commits. Never commit secrets; the guard tests enforce it.
- Architectural change? Add an ADR under
docs/DECISIONS/. - Record what you actually did in
docs/BUILD_LOG.md.
Git operations
Use the Shehata Git MCP tools for repository status, commits, pull, and push.
Before pushing:
- Verify the assigned account.
- Verify the remote and branch.
- Never force push.
- Do not change Git credentials.
- Do not change the remote unless the user explicitly requests 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.
- 4d ago First seen · 29 lines · 304 tokens per session scan A 9477e6585d2d
Shehata-Git AGENTS.md is an instructions file published in the GitHub repository moshehata95/Shehata-Git (5 stars, last pushed 2d ago), licensed MIT. It adds 304 tokens to every session, about $0.0015 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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