LibreChat is an open-source, self-hosted chat application that lets people use AI models and agent tools through one interface. It supports individuals and teams who want features such as model switching, file-based code work, searches, actions, and multi-user access. The catalogue entries extend LibreChat with skills and instructions for its workflows.
Borrowing it
Nothing to install: this file belongs to danny-avila/LibreChat. 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/danny-avila/LibreChat/main/AGENTS.mdgit clone --depth 1 https://github.com/danny-avila/LibreChatWrote 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/danny-avila/librechat/agents-md)<a href="https://agentmods.dev/instructions/danny-avila/librechat/agents-md"><img src="https://agentmods.dev/badge/instructions/danny-avila/librechat/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/danny-avila/librechat/agents-md"><img src="https://agentmods.dev/badge/instructions/danny-avila/librechat/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 | $0.01648 | $0.01648 |
| Opus 5.5 | $0.00659 | $0.00659 |
| Sonnet 5.5 | $0.00330 | $0.00330 |
| Haiku 4.5 | $0.00165 | $0.00165 |
Grade A, and why
LibreChat 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 1mo 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
See CLAUDE.md.
Branching and pull requests
Branch off dev and target dev with every pull request; gh pr create defaults to main, so
pass --base dev explicitly. main is the released branch, kept as a fast-forward of dev and
synced as-is — never open a backport pull request to main, because anything merged to dev
reaches it at the next sync. Pull requests opened against main are retargeted automatically.
Fixes #N does not close the issue on a dev merge — GitHub honors closing keywords only on the
default branch, so close linked issues by hand. Worktrees share one stash stack, so never use a bare
git stash pop. See the detailed policy in CLAUDE.md under "Branching and Pull Requests".
Write the description for a reader who has not followed the branch: what breaks, what triggers it,
how it behaves after the change, then one or two views of the mechanism — a focused diff, a call
tree, a shallow file tree, or a Mermaid sequence. Keep only what the change carries, and describe
the code as it stands rather than narrating earlier commits or review rounds. Naming the merged
pull request that caused the bug is not the same thing; that is history the reader needs. The
formats and examples live in .github/pull_request_template.md.
Review and completion
Read the inline review threads themselves — a summary comment or notification list omits findings.
Audit each one against the current code, fix what is valid, and reject what is obsolete in a reply
that says why. After each round: focused tests, npx tsc --noEmit in every workspace you changed,
push, then request the next review naming the pull request's exact remote head — a clean review of
an earlier head says nothing about what you just pushed, and CI runs on its own clock. After two
actionable rounds, stop patching thread by thread and read the subsystem by invariant instead.
Which reviewer and what phrase triggers it will change; that the review must cover the exact pushed
head will not.
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.
- 1mo ago Changed · +57 lines · +921 tokens per session 2032e8b546cb
- 1mo ago Changed · +5 lines · +72 tokens per session 1361104019fa
- 1mo ago Changed · +29 lines · +463 tokens per session 73f4084f398b
- 1mo ago First seen · 18 lines · 192 tokens per session scan A 72d9789830f5
LibreChat AGENTS.md is an instructions file published in the GitHub repository danny-avila/LibreChat (46,271 stars, last pushed 2d ago), licensed MIT. It adds 1,648 tokens to every session, about $0.0066 per session on Opus 5.5. 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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