Borrowing it
Nothing to install: this file belongs to meltedinhex/analyst-ai-pack. 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/meltedinhex/analyst-ai-pack/main/AGENTS.mdgit clone --depth 1 https://github.com/meltedinhex/analyst-ai-packWrote 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/meltedinhex/analyst-ai-pack/agents-md)<a href="https://agentmods.dev/instructions/meltedinhex/analyst-ai-pack/agents-md"><img src="https://agentmods.dev/badge/instructions/meltedinhex/analyst-ai-pack/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/meltedinhex/analyst-ai-pack/agents-md"><img src="https://agentmods.dev/badge/instructions/meltedinhex/analyst-ai-pack/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 | $0.00832 | $0.00832 |
| Opus 5.5 | $0.00333 | $0.00333 |
| Sonnet 5.5 | $0.00166 | $0.00166 |
| Haiku 4.5 | $0.00083 | $0.00083 |
Grade A, and why
analyst-ai-pack 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Using AnalystAIPack as an AI agent
This repository is a skill library for malware analysis, reverse engineering, and threat hunting. If you are an AI coding/security agent, read this file first: it tells you how to find the right skill, run it safely, and chain skills into an investigation.
What this repo is
- 118 self-contained skills under
skills/, one folder each. - Every skill has:
SKILL.md(the procedure),scripts/analyst.py(a runnable tool),references/api-reference.md(script docs + sources), andLICENSE. - Machine-readable catalog:
index.json. Human catalog:CATALOG.md.
How to pick a skill
- Search the catalog by intent, not just keyword:
python tools/analyst-pack.py search <topic> # e.g. "kerberos", "pe imports", "beacon" python tools/analyst-pack.py list --subdomain threat-hunting - Read the chosen
SKILL.md. Honor itsWhen to Useand especially the**Do not use**line — it states the boundaries of the technique. Do not apply a skill outside its scope.
How to run a skill
Each skill's tool is a small CLI. Inspect it, then run it:
python tools/analyst-pack.py show <skill-name> # see its subcommands
python tools/analyst-pack.py run <skill-name> -- <args> # run it
# or directly:
python skills/<skill-name>/scripts/analyst.py <subcommand> <args>
Scripts print structured JSON. Use that output as input to the next skill or a report.
Safety rules (do not violate)
- Never execute the malware sample. Every script performs static, read-only analysis. Do not add code that runs, detonates, or connects to a sample's infrastructure.
- Assume an isolated lab. Skills that handle samples include a
Safety & Handlingsection — follow it. Do not move samples out of the working directory. - Keep IOCs defanged in any output you share (
hxxp://,1[.]2[.]3[.]4). The scripts already do this; preserve it. - No live samples in the repo. This project ships none; never commit one (see
.gitignore).
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 · 74 lines · 832 tokens per session scan A d204b74a8317
analyst-ai-pack AGENTS.md is an instructions file published in the GitHub repository meltedinhex/analyst-ai-pack (22 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 832 tokens to every session, about $0.0033 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).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.