osint-methodology SKILL.md skillC

osint-methodology 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/osint-methodology@v2.1

Pins v2.1 in mdr.lock. Pin the fingerprint instead.

Audit grade
C, 15 of 17 checks passed
Kind
SKILL.md skill
Repository
adriannoes/awesome-agentic-ai
Path
cursor-claude-codex/skills/bug-hunter/skills/osint-methodology/SKILL.md
Versions recorded
1
Latest version
v2.1, committed Jun 11, 2026
Size
95,119 bytes
Repository stars
69
License
MIT

Comprehensive OSINT methodology for external red-team operations and authorized attack-surface assessments. Covers the 5-stage recon pipeline (seed discovery, asset expansion, enrichment, exposure analysis, reporting), asset-graph discipline with 29 asset types, severity rubric (CRITICAL/HIGH/MEDIUM/LOW/INFO), confidence upgrade workflows, time budgeting, asset-level triage rules, scale-based tactics, identity-fabric mapping (Entra/Okta/ADFS/Google/SAML/M365 Teams+SharePoint+OAuth), API and…

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

# OSINT Methodology — External Red-Team Edition

## 0. When to use this skill / When NOT

**Use this skill when:**
- Planning or executing external reconnaissance against an authorized target (red team, bug bounty in-scope, ASM engagement).
- Mapping an organization's external attack surface end-to-end (subdomains → assets → exposure → attack paths).
- Investigating a person, entity, or threat actor where evidence discipline matters.
- Tracing cryptocurrency flows, geolocating media, performing image/video forensics, or chronolocating events.
- Building a structured OSINT campaign that needs reproducibility, severity grading, and clean handoffs.
- Producing client-facing deliverables (exec summaries, technical reports, reproduction packages) from offensive engagements.

**Do NOT use this skill when:**
- The user is asking for active exploitation, post-exploitation, lateral movement, AD privilege escalation, malware development, or anything beyond reconnaissance — those are out of scope.
- The user is asking for blue-team / defensive content (SIEM rules, detection engineering) — different domain.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add adriannoes/awesome-agentic-ai/osint-methodology@sha256:1b468b0f4fc9cbcb

The line at the top of this page pins the label v2.1, 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_wxtu3zbr5mkaujc4.svg)](https://markdownregistry.com/a/art_wxtu3zbr5mkaujc4)

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
v2.1 latest2026-06-11 ff4cc7c 95,119 BC view

Audit of the latest version

C  15 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • fail: No instruction to read or print local credentials (matched: dump.sql`, exposed `.env)
  • fail: No script tag (matched: <script)
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (95119 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 base64 blob over 200 characters
  • pass: No link to a raw IP address

Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.

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_wxtu3zbr5mkaujc4
GET https://markdownregistry.com/api/v1/resolve?ref=adriannoes/awesome-agentic-ai/osint-methodology
GET https://markdownregistry.com/api/v1/blob/1b468b0f4fc9cbcb4de661f36e9f305dfaa777f74aba5174590e4adb55fdae3b

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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