performing-threat-hunting-with-yara-rules SKILL.md skillA

performing-threat-hunting-with-yara-rules from adriannoes/awesome-agentic-ai is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add adriannoes/awesome-agentic-ai/performing-threat-hunting-with-yara-rules@v1.0

Pins v1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
adriannoes/awesome-agentic-ai
Path
cursor-claude-codex/skills/anthropic-cybersecurity-skills/skills/performing-threat-hunting-with-yara-rules/SKILL.md
Versions recorded
2
Latest version
v1.0, committed Jun 25, 2026
First version recorded
Jun 11, 2026
Size
13,822 bytes
Repository stars
69
License
MIT

'Use YARA pattern-matching rules to hunt for malware, suspicious files,.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Performing Threat Hunting with YARA Rules

Scan files, directories, and memory dumps using YARA rules to identify
malware families, suspicious patterns, and IOC matches.

## When to Use

- Proactively hunting for unknown malware variants across network shares, endpoints, and email attachments
- Scanning quarantine directories or sandbox outputs for malware family classification
- Searching process memory dumps for injected code or in-memory-only payloads
- Validating threat intelligence IOCs against a large corpus of collected samples
- Triaging incident response artifacts to identify known malware families quickly
- Building automated detection pipelines that scan new files on ingestion

**Do not use** for real-time endpoint protection (use EDR agents instead); YARA scanning is best suited for batch hunting, triage, and post-collection analysis where scan latency is acceptable.

## Prerequisites

- YARA 4.x installed (`apt install yara` on Debian/Ubuntu, `brew install yara` on macOS)
- Python 3.8+ with `yara-python` (`pip install yara-python`)
- `yarGen` for automated rule generation (`git clone https://github.com/Neo23x0/yarGen`)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add adriannoes/awesome-agentic-ai/performing-threat-hunting-with-yara-rules@sha256:11e3834b50ebae2f

The line at the top of this page pins the label v1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_s5sv3lpgv5vhox65.svg)](https://markdownregistry.com/a/art_s5sv3lpgv5vhox65)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Jun 11, 2026 and Jun 25, 2026, about one every 14 days.

versioncommittedcommitsizeaudit
v1.0 latest2026-06-25 f69bd81 13,822 BA view · diff
v1.02026-06-11 ff4cc7c 13,766 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (13822 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

adriannoes/awesome-agentic-ai · 69 stars · license MIT · pushed 2026-10-10 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_s5sv3lpgv5vhox65
GET https://markdownregistry.com/api/v1/resolve?ref=adriannoes/awesome-agentic-ai/performing-threat-hunting-with-yara-rules
GET https://markdownregistry.com/api/v1/blob/11e3834b50ebae2fd65f3f60ee40f7636abbbb8e97b13fe50f27ccb05fd42396

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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