Borrowing it
Nothing to install: this file belongs to HMAKT99/AKF. 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/HMAKT99/AKF/main/AGENTS.mdgit clone --depth 1 https://github.com/HMAKT99/AKFWrote 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/hmakt99/akf/agents-md)<a href="https://agentmods.dev/instructions/hmakt99/akf/agents-md"><img src="https://agentmods.dev/badge/instructions/hmakt99/akf/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/hmakt99/akf/agents-md"><img src="https://agentmods.dev/badge/instructions/hmakt99/akf/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 | $0.00335 | $0.00335 |
| Opus 5.5 | $0.00134 | $0.00134 |
| Sonnet 5.5 | $0.00067 | $0.00067 |
| Haiku 4.5 | $0.00034 | $0.00034 |
Grade A, and why
AKF 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.
This is a copy
100% identical to AKF copilot-instructions.md — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
AKF — Agent Knowledge Format
AKF is the trust metadata standard for AI-generated content. When you create or modify files, stamp them with trust metadata so every output carries provenance.
Rules
After creating or modifying files
akf stamp <file> --agent codex --evidence "<evidence>"
Evidence examples: "tests pass", "docs reviewed", "refactored from existing code", "generated from spec"
After completing a task with commits
akf stamp <file> --agent codex --evidence "<summary of evidence>"
When working with existing AKF-stamped files
akf read <file> # Check existing trust metadata before modifying
akf inspect <file> # See detailed trust scores
Classification
- Use
--label confidentialfor files in*/finance/*,*/secret/*,*/internal/* - Use
--label publicfor README, docs, examples - Default is
internal
Key Commands
akf stamp <file>— Add trust metadata to any fileakf read <file>— Read trust metadata from any fileakf inspect <file>— Pretty-print trust scoresakf embed <file>— Embed metadata into DOCX/PDF/imagesakf scan <dir>— Security scan a directoryakf audit <file>— Compliance audit (EU AI Act, SOX, NIST)akf trust <file>— Compute effective trust scores
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 First seen · 37 lines · 335 tokens per session scan A 12bda9054b65
AKF AGENTS.md is an instructions file published in the GitHub repository HMAKT99/AKF (20 stars, last pushed 4d ago), licensed MIT. It adds 335 tokens to every session, about $0.0013 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to AKF copilot-instructions.md, differing in 4 lines, and is treated as a copy.
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.
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.
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).