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/agentevalhq/agenteval/claude-mdgit clone --depth 1 https://github.com/AgentEvalHQ/AgentEvalWhat 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 | $0.00559 | $0.00559 |
| Opus 5 | $0.00280 | $0.00280 |
| Sonnet 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 2d 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.
- 2d 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 (138 stars, last pushed 2d ago), licensed MIT. It adds 559 tokens to every session, about $0.0028 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.
Other instructions, from other repositories
deer-flow copilot-instructions.md
Copilot instructions for bytedance/deer-flow, covering copilot onboarding instructions for deerflow, 1) repository summary, 2) runtime and toolchain requirements, 3) build/test/lint/run - verified command sequences and a. bootstrap and install.
zeroclaw CLAUDE.md
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Tracely-ai CLAUDE.md
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