analyst-ai-pack AGENTS.md

analyst-ai-pack AGENTS.md is an instructions file for Codex, OpenCode from meltedinhex/analyst-ai-pack. It costs 832 tokens per session, scanned A, original, Apache-2.0.

Repository instructions for AnalystAIPack, a library of skills for malware analysis, reverse engineering, and threat hunting.

In plain words
What is it for?
Use them to search the library, select a skill by investigation goal, read its procedure, and run its analysis tool.
Why use it?
They explain how to find the appropriate investigation procedure and its safety boundaries before running it.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/meltedinhex/analyst-ai-pack/agents-md
Clone the repo
git clone --depth 1 https://github.com/meltedinhex/analyst-ai-pack

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for analyst-ai-pack AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/meltedinhex/analyst-ai-pack/agents-md.svg)](https://agentmods.dev/instructions/meltedinhex/analyst-ai-pack/agents-md)
Your own site
<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="Measured on agentmods" height="20"></a>
Per session 832 This file is loaded in full into every session.
When invoked 832 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00832 $0.00832
Opus 5 $0.00416 $0.00416
Sonnet 5 $0.00166 $0.00166
Haiku 4.5 $0.00083 $0.00083

Measured 4d ago against content hash d204b74a8317, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 4d 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.

AGENTS.md · 74 lines

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), and LICENSE.
  • Machine-readable catalog: index.json. Human catalog: CATALOG.md.

How to pick a skill

  1. 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
    
  2. Read the chosen SKILL.md. Honor its When to Use and 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 & Handling section — 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).

Read the full file on GitHub · 74 lines

Changes

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.

  1. 4d ago First seen · 74 lines · 832 tokens per session scan A d204b74a8317

Subscribe to this mod's changes

analyst-ai-pack AGENTS.md is an instructions file published in the GitHub repository meltedinhex/analyst-ai-pack (22 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 832 tokens to every session, about $0.0042 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.