analyst-ai-pack copilot-instructions.md

analyst-ai-pack copilot-instructions.md is an instructions file for GitHub Copilot from meltedinhex/analyst-ai-pack. It costs 704 tokens per session, scanned A, original, Apache-2.0.

Repository instructions for AnalystAIPack, a collection of 118 read-only security skills for malware analysis, reverse engineering, and threat hunting. Malware analysis examines harmful software, reverse engineering studies how software works, and threat hunting searches for attacks.

In plain words
What is it for?
Use them to search for, inspect, and run the matching security skill through the repository's commands.
Why use it?
They tell the coding agent to find and follow the relevant procedure instead of improvising, while keeping analysis read-only.

Instructions file for GitHub Copilot

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/copilot-instructions
Clone the repo
git clone --depth 1 https://github.com/meltedinhex/analyst-ai-pack

Made for: GitHub Copilot.

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 copilot-instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/meltedinhex/analyst-ai-pack/copilot-instructions.svg)](https://agentmods.dev/instructions/meltedinhex/analyst-ai-pack/copilot-instructions)
Your own site
<a href="https://agentmods.dev/instructions/meltedinhex/analyst-ai-pack/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/meltedinhex/analyst-ai-pack/copilot-instructions.svg" alt="Measured on agentmods" height="20"></a>
Per session 704 This file is loaded in full into every session.
When invoked 704 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 $0.00704 $0.00704
Opus 5 $0.00352 $0.00352
Sonnet 5 $0.00141 $0.00141
Haiku 4.5 $0.00070 $0.00070

Measured 4d ago against content hash 8b44b97babd2, 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 copilot-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 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.

.github/copilot-instructions.md · 51 lines

How it starts

The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AnalystAIPack — GitHub Copilot instructions

This workspace is AnalystAIPack, a library of 118 security skills for malware analysis, reverse engineering, and threat hunting. Each skill is a folder under skills/ containing a SKILL.md (procedure) and a runnable scripts/analyst.py (a static, read-only analysis tool).

How to help in this repo

  • When the user asks an analysis/hunting task, find the matching skill first instead of improvising. Discover skills with:
    • python tools/analyst-pack.py search <topic>
    • python tools/analyst-pack.py list [--subdomain malware-analysis|reverse-engineering|threat-hunting|lab-foundations]
    • python tools/analyst-pack.py show <skill-name>
  • Read the chosen skills/<name>/SKILL.md and follow its Workflow. Honor its When to Use and especially the Do not use boundary.
  • Run a skill's tool via: python tools/analyst-pack.py run <skill-name> -- <subcommand> <args> or directly python skills/<skill-name>/scripts/analyst.py <subcommand> <args>. Output is structured JSON — pass it forward to the next skill or into a report.

Safety rules (do not violate)

  • Never execute a malware sample. All scripts are static and read-only. Do not write code that runs, detonates, or connects to a sample's infrastructure.
  • Assume an isolated lab for any live-sample step; follow each skill's Safety & Handling.
  • Keep IOCs defanged in output (hxxp://, 1[.]2[.]3[.]4). The scripts already do this — preserve it.
  • No live samples in the repo (see .gitignore). Some scripts contain malware signature strings for detection; antivirus may flag the file text — that is static data, not behavior.

Authoring or editing a skill

Keep the repo green and follow the conventions:

  • Each skill needs: SKILL.md + scripts/analyst.py + references/api-reference.md + LICENSE.
  • Frontmatter: name (kebab == folder), description (ends with an "Activates for …" trigger), domain: cybersecurity, subdomain (one of the four), tags, version, author, license, and framework IDs (mitre_attack, d3fend, optional car).
  • Body sections in order: When to Use (with Do not use), Prerequisites, Safety & Handling (sample-handling skills), Workflow, Validation, Pitfalls, References.
  • Scripts are standard-library only (optional deps degrade gracefully) and never execute the sample. Validate with:

Read the full file on GitHub · 51 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 · 51 lines · 704 tokens per session scan A 8b44b97babd2

Subscribe to this mod's changes

analyst-ai-pack copilot-instructions.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 704 tokens to every session, about $0.0035 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.