agentic-threat-hunting-framework: Instructions file for Codex

AGENTS.md

agentic-threat-hunting-framework AGENTS.md is an instructions file for Codex, OpenCode from Nebulock-Inc/agentic-threat-hunting-framework. It costs 7,721 tokens per session, scanned A, original, MIT.

Repository guidance for AI assistants working on a threat-hunting codebase. It explains the repository, its investigation method, and when to use its command-line tools.

In plain words
What is it for?
Following the repository’s required setup, researching earlier threat hunts, and running threat-hunting tasks through the ATHF command-line tools or agents.
Why use it?
It prevents assistants from guessing how the project works or changing framework-managed files directly. It also points them to existing knowledge, past investigations, and available data sources.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions AGENTS.md.

This is Nebulock-Inc/agentic-threat-hunting-framework's own configuration. It tells Codex and OpenCode how to work on agentic-threat-hunting-framework itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agentic-threat-hunting-framework configures β†’

Reuse

Borrowing it

Nothing to install: this file belongs to Nebulock-Inc/agentic-threat-hunting-framework. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Nebulock-Inc/agentic-threat-hunting-framework/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/Nebulock-Inc/agentic-threat-hunting-framework

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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Per session 7,721 This file is loaded in full into every session.
When invoked 7,721 The same file β€” it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file β€” not that it is safe.
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 5.1 $0.07721 $0.07721
Opus 5 $0.03861 $0.03861
Sonnet 5 $0.01544 $0.01544
Haiku 4.5 $0.00772 $0.00772

Measured 10d ago against content hash d2462a2e5303, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

agentic-threat-hunting-framework AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories β€” prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency β€” measured 10d 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 Β· 805 lines

How it starts

The opening of the file, as written. The whole thing β€” 805 lines β€” stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md - Context for AI Assistants Using ATHF

Purpose: This file provides AI assistants with context about threat hunting repositories using the Agentic Threat Hunting Framework (ATHF).


Repository Overview

This repository contains threat hunting investigations using the LOCK pattern (Learn β†’ Observe β†’ Check β†’ Keep).

AI assistants should:

  • πŸ”§ ALWAYS activate the virtual environment FIRST - Run source .venv/bin/activate before any athf commands (verify with which athf)
  • Read knowledge/hunting-knowledge.md - Expert hunting frameworks and analytical methods
  • Browse past hunts - Search hunt history before suggesting new hypotheses
  • Reference lessons learned when generating queries
  • Use environment.md to understand available data sources
  • Focus on behaviors and TTPs (top of Pyramid of Pain), not indicators

🚨 MANDATORY: Use ATHF CLI Commands & Agents

CRITICAL REQUIREMENT: AI assistants MUST use athf CLI commands or athf agent run for ALL tasks that have corresponding CLI functionality. Direct file manipulation is prohibited for framework-managed operations.

βœ… ALWAYS Use CLI For

Task Category CLI Command ❌ Never Use
Hunt creation athf hunt new --non-interactive Write tool, Edit tool
Investigation creation athf investigate new --non-interactive Write tool, Edit tool
Research execution athf research new --topic "..." Manual web search, Write tool
Hypothesis generation athf agent run hypothesis-generator --threat-intel "..." Manual hypothesis drafting
Duplicate checking athf similar "keywords" Grep, manual search
Context loading athf context --hunt H-XXXX Multiple Read operations
Coverage analysis athf hunt coverage Manual ATT&CK counting
Hunt validation athf hunt validate H-XXXX Manual YAML parsing
Hunt search athf hunt search "keyword" Grep, manual file search

Read the full file on GitHub Β· 805 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. 10d ago First seen Β· 805 lines Β· 7,721 tokens per session scan A d2462a2e5303

Subscribe to this mod's changes

agentic-threat-hunting-framework AGENTS.md is an instructions file published in the GitHub repository Nebulock-Inc/agentic-threat-hunting-framework (370 stars, last pushed 6d ago), licensed MIT. It adds 7,721 tokens to every session, about $0.0386 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.

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