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/.github/instructions/maf-updates.instructions.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/maf-updates)<a href="https://agentmods.dev/instructions/agentevalhq/agenteval/maf-updates"><img src="https://agentmods.dev/badge/instructions/agentevalhq/agenteval/maf-updates/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/maf-updates"><img src="https://agentmods.dev/badge/instructions/agentevalhq/agenteval/maf-updates.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 | $0.03140 | $0.03140 |
| Opus 5.5 | $0.01256 | $0.01256 |
| Sonnet 5.5 | $0.00628 | $0.00628 |
| Haiku 4.5 | $0.00314 | $0.00314 |
Grade A, and why
AgentEval maf-updates.instructions.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 26d 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 — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MAF Update & Breaking Change Instructions
These instructions apply when updating the Microsoft Agent Framework (MAF) NuGet dependency in AgentEval.
Two-Phase Upgrade Workflow
MAF upgrades follow two phases:
Phase 1 (OPTIONAL): maf-upgrade-preparation.instructions.md
Diff MAF source → produce plan document
Output: MAF/MAF-Upgrade-Plan.md
Phase 2 (THIS FILE): Update NuGet → fix breaks → run tests
Input: plan document (if available) OR compile errors
Phase 1 is recommended for major MAF version changes. For minor/patch updates or Dependabot PRs, start directly at Step 0 below.
Step 0: Check for an Existing Upgrade Plan
Before starting, check if MAF/MAF-Upgrade-Plan.md exists.
- If it exists: Read it first. It contains pre-analyzed breaking changes, behavioral changes, and concrete fix code snippets produced by Phase 1. Use it as a guide — you already know what will break and how to fix it.
- If it doesn't exist: Proceed normally with build-error-driven detection (Step 1).
Where MAF Versions Are Pinned
All MAF package versions are pinned in a single file:
Directory.Packages.props
Look for these three entries:
<PackageVersion Include="Microsoft.Agents.AI" Version="..." />
<PackageVersion Include="Microsoft.Agents.AI.OpenAI" Version="..." />
<PackageVersion Include="Microsoft.Agents.AI.Workflows" Version="..." />
All three MUST be updated to the same version simultaneously.
Also update the Microsoft.Extensions.AI packages if the MAF release requires a newer version:
<PackageVersion Include="Microsoft.Extensions.AI" Version="..." />
<PackageVersion Include="Microsoft.Extensions.AI.OpenAI" Version="..." />
<PackageVersion Include="Microsoft.Extensions.AI.Evaluation.Quality" Version="..." />
Current versions — always check Directory.Packages.props for the actual pinned versions.
Which projects reference which MAF packages:
src/AgentEval.MAF/AgentEval.MAF.csproj→Microsoft.Agents.AI,Microsoft.Agents.AI.Workflows(compile-time dependency)src/AgentEval/AgentEval.csproj(umbrella) →Microsoft.Agents.AI,Microsoft.Agents.AI.Workflows(re-declared for NuGet consumers becausePrivateAssets="all"suppresses transitive propagation from sub-projects)samples/AgentEval.Samples/AgentEval.Samples.csproj→Microsoft.Agents.AI.OpenAI,Microsoft.Agents.AI.Workflows
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.
- 26d ago Changed · -1 lines · -31 tokens per session bcd0096b82ad
- 2mo ago First seen · 248 lines · 3,171 tokens per session scan A bc76726b8a6e
AgentEval maf-updates.instructions.md is an instructions file published in the GitHub repository AgentEvalHQ/AgentEval (157 stars, last pushed 4d ago), licensed MIT. It adds 3,140 tokens to every session, about $0.0126 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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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.
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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.
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Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
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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.