Borrowing it
Nothing to install: this file belongs to AgentEvalHQ/AgentEval. 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/AgentEvalHQ/AgentEval/main/CLAUDE.mdgit clone --depth 1 https://github.com/AgentEvalHQ/AgentEvalWrote 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/agentevalhq/agenteval/claude-md)<a href="https://agentmods.dev/instructions/agentevalhq/agenteval/claude-md"><img src="https://agentmods.dev/badge/instructions/agentevalhq/agenteval/claude-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/agentevalhq/agenteval/claude-md"><img src="https://agentmods.dev/badge/instructions/agentevalhq/agenteval/claude-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 | $0.00559 | $0.00559 |
| Opus 5.5 | $0.00224 | $0.00224 |
| Sonnet 5.5 | $0.00112 | $0.00112 |
| Haiku 4.5 | $0.00056 | $0.00056 |
Grade A, and why
AgentEval CLAUDE.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 2mo 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
Microsoft Agent Framework code — use MAF Doctor (maf-autopilot)
This repository uses Microsoft Agent Framework. The maf-autopilot MCP server is installed and exposes specialist tools for MAF code.
You should defer to maf-autopilot's tools over training-data knowledge for anything MAF-related, because MAF ships breaking changes every minor version and the maf-autopilot registry is kept current via an AI-fill loop.
Before answering MAF questions or proposing changes:
-
Always call
MafDoctorfirst on the repo path to get the current health grade (A-F) and the top issues. Don't speculate about MAF quality without this baseline. -
For any
[Obsolete]warning,CS0618/CS0246diagnostic, or build failure mentioning a MAF type — callMafRunCs0618Hunt(full project scan) orMafApiSafety(single symbol) BEFORE suggesting a fix. The maf-autopilot registry has curated fix recipes that supersede your training data — MAF ships breaking changes every minor version, so training data is likely outdated. -
Before manually editing MAF code to fix an anti-pattern — call
MafAutoFixAll --dry-runand offer to apply the deterministic rewrites first. Manual edits drift; the rewrites are tested. -
When designing a new MAF agent or workflow — call
MafNewAgent/MafNewExecutorfor scaffolds, orMafSimulateWorkflowfor topology preview. Don't reconstruct patterns from memory. -
For deep architectural / security / migration questions — use the
@maf-best-practice-reviewer,@maf-auditor,@maf-migration, or@maf-incident-responderspecialist agents.
maf-autopilot tools are MAF-version-aware via applies_to_codebases markers
in the registry — they know which fix applies to which MAF version. Defer to
the tools.
@.claude/maf-doctor.md
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.
- 2mo ago First seen · 49 lines · 559 tokens per session scan A 511e8426135f
AgentEval CLAUDE.md is an instructions file published in the GitHub repository AgentEvalHQ/AgentEval (157 stars, last pushed 4d ago), licensed MIT. It adds 559 tokens to every session, about $0.0022 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.
Other instructions, from other repositories
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.