mid-engagement-ir-detection SKILL.md skillA

mid-engagement-ir-detection 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/mid-engagement-ir-detection@git:20260611.ff4cc7c

Pins git:20260611.ff4cc7c 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/bug-hunter/skills/mid-engagement-ir-detection/SKILL.md
Versions recorded
1
Latest version
git:20260611.ff4cc7c, committed Jun 11, 2026
Size
16,769 bytes
Repository stars
69
License
MIT

Methodology for detecting client SOC patches, attacker activity, and security-state changes that occur DURING a red-team engagement — and converting those observations into deliverable findings. Built from authorized red-team work where the client patched a confirmed SQLi within 30 minutes of detection AND an external attacker locked multiple new accounts during a single test session. Use when (a) running ANY active engagement against a monitored target, (b) a previously-confirmed finding…

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

## When to use this skill

Trigger when:
- Running active testing against a target with active SOC monitoring
- A confirmed-vulnerable finding stops reproducing on recheck
- Baseline timing shifts unexpectedly (3× slower, sudden errors, new headers)
- Response sizes change between test windows
- New WAF cookies or headers appear that weren't there at session start
- Lockout / error rates change between test windows (especially LOCKED count for credential attacks)
- Engagement is "assume breach" or "white box" — client knows you're testing

DO NOT use for:
- Bug bounty (client doesn't know you're there; no real-time IR)
- Pure recon (no state-change happening)
- One-off vulnerability scanning (no temporal dimension)

---

## The core insight

In a real red-team engagement against a competent SOC, the security state of the target is **not static**. It changes during your test in response to your traffic. These state changes are:

1. **Themselves valuable findings** (positive operational observations about IR responsiveness)
2. **Confirmation evidence** (mid-engagement patch = the original vulnerability was real)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add adriannoes/awesome-agentic-ai/mid-engagement-ir-detection@sha256:5e24398f0f133295

The line at the top of this page pins the label git:20260611.ff4cc7c, 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_sdz3piqpfzjbhedn.svg)](https://markdownregistry.com/a/art_sdz3piqpfzjbhedn)

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

Versions

The registry has recorded 1 version of this file, committed on Jun 11, 2026.

versioncommittedcommitsizeaudit
git:20260611.ff4cc7c latest2026-06-11 ff4cc7c 16,769 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 (16769 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_sdz3piqpfzjbhedn
GET https://markdownregistry.com/api/v1/resolve?ref=adriannoes/awesome-agentic-ai/mid-engagement-ir-detection
GET https://markdownregistry.com/api/v1/blob/5e24398f0f1332951bd66f31139e560170a3123150dca1bb00de3174d9f37190

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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