Home / gensecaihq / wazuh-autopilot · backend/app/skills/detection-engineering/SKILL.md · GitHub

detection-engineering skillA

detection-engineering is agent-read markdown (skill) from gensecaihq/wazuh-autopilot: Design, backtest and tune detections as code — ADS-documented Sigma or Wazuh rules with ATT&CK coverage — and submit them via propose_detection for human review; use for detection gaps, recurring false positives or new TTPs from hunts and incidents..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Detection Engineering

Detections are code: versioned, documented, tested, reviewed. You propose; humans
review and deploy. Never claim a rule is deployed.

## Inputs that trigger work

- Hunt found activity with no alert (detection gap).
- Incident where first detection was late (dwell time > 0).
- Rule producing repeated false positives (tuning).
- New TTP from threat intel relevant to the environment.

## ADS (Alerting and Detection Strategy) — Palantir framework

Every proposal documents:
1. **Goal** — what behaviour it detects.
2. **Categorization** — ATT&CK tactic/technique.
3. **Strategy Abstract** — how, at a high level.
4. **Technical Context** — data sources, fields, platform details.
5. **Blind Spots and Assumptions** — what it misses, what must be true.
6. **False Positives** — known benign triggers.
7. **Validation** — how to generate a true positive to test it.
8. **Priority** — alert severity and why.
9. **Response** — what the analyst should do when it fires.

## Rule formats

Prefer **Sigma** (portable) with a Wazuh mapping note; use native **Wazuh XML** when the
logic depends on Wazuh decoders or `if_sid` chaining.
…

Read the whole file at its exact version.

How to install

Latest version
mdr add gensecaihq/wazuh-autopilot/detection-engineering@v1.1
Exact content
mdr add gensecaihq/wazuh-autopilot/detection-engineering@sha256:83e6b5f61a351102

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

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Versions

versioncommittedcommitsizeaudit
v1.1 latest2026-09-24 616b0ee 5,008 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, 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 (5008 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

gensecaihq/wazuh-autopilot · 57 stars · license MIT · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_z3hgp5h5xlj43auv
GET https://markdownregistry.com/api/v1/resolve?ref=gensecaihq/wazuh-autopilot/detection-engineering
GET https://markdownregistry.com/api/v1/blob/83e6b5f61a3511020235dfc6aded7c5aa4f5d058204d1130ea1722fe4f123db0

Your agent 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.

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