Borrowing it
Nothing to install: this file belongs to majiayu000/litellm-rs. 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/majiayu000/litellm-rs/main/AGENTS.mdgit clone --depth 1 https://github.com/majiayu000/litellm-rsWrote 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/majiayu000/litellm-rs/agents-md)<a href="https://agentmods.dev/instructions/majiayu000/litellm-rs/agents-md"><img src="https://agentmods.dev/badge/instructions/majiayu000/litellm-rs/agents-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/majiayu000/litellm-rs/agents-md"><img src="https://agentmods.dev/badge/instructions/majiayu000/litellm-rs/agents-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 | $0.00168 | $0.00168 |
| Opus 5 | $0.00084 | $0.00084 |
| Sonnet 5 | $0.00034 | $0.00034 |
| Haiku 4.5 | $0.00017 | $0.00017 |
Grade A, and why
litellm-rs 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 9d 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
Agent instructions for litellm-rs.
Workflow
- Search existing code, issues, pull requests, and documentation before creating a new implementation or workflow artifact.
- Work on one GitHub issue per implementation pull request by default.
- Fix an existing pull request on its original branch instead of opening a competing pull request.
Commands
cargo fmt --check
cargo check
cargo clippy --all-targets -- -D warnings
cargo test
Run focused tests during iteration; run the full suite plus clippy once before claiming PR-ready.
Rules
- Keep changes scoped to the linked issue and document the verification used.
- Do not merge without green CI and resolved review threads.
- Builds and tests run only inside the session's own worktree.
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.
- 9d ago First seen · 30 lines · 168 tokens per session scan A 58ef2680524a
litellm-rs AGENTS.md is an instructions file published in the GitHub repository majiayu000/litellm-rs (112 stars, last pushed today), licensed MIT. It adds 168 tokens to every session, about $0.0008 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 2026-08-30.
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