osint-methodology
osint-methodology is an code AI skill with a core value of Comprehensive OSINT methodology for external red-team operations and authorized attack-surface assessments. It
helps developers solve real-world problems in the code domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
Comprehensive OSINT methodology for external red-team operations and authorized attack-surface assessments.
Quick Facts
mkdir -p ./skills/osint-methodology && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/osint-methodology/SKILL.md -o ./skills/osint-methodology/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
> **⚠️ AUTHORIZED USE ONLY**
> This skill is for educational purposes or authorized security assessments only.
> You must have explicit, written permission from the system owner before using this tool.
> Misuse of this tool is illegal and strictly prohibited.
> **Mandatory confirmation gate**
> Before running any command that probes, exploits, changes, persists on, extracts data from, or attempts credential access against a target:
> 1. Ask the user to state the exact target URL, IP, account, or resource.
> 2. Ask the user to confirm written authorization and the permitted scope.
> 3. Show the exact command(s) and explain their expected effect.
> 4. Wait for explicit confirmation in the current conversation.
>
> Without that confirmation, remain read-only and provide defensive guidance only. Prefer a sandbox, disposable VM, or controlled lab.
# 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.
- The target's authorization is unclear and the user is asking you to act against a third-party asset they don't own — see §1 below; gently surface the scope question before proceeding.
---
1. Authorization & Legal Posture
This skill is intended for assets the operator owns or has written authorization to assess (red-team rules of engagement, bug-bounty in-scope assets, ASM contracts).
**Soft scope check:** when a user asks you to act against a target whose authorization isn't established earlier in the conversation, ask once before proceeding:
> *"Quick scope check: is this a target you own or have written authorization to assess (e.g., a red-team engagement, in-scope bug-bounty asset, or your own infrastructure)? I want to make sure we stay on the right side of the engagement boundary."*
Once authorization is asserted, proceed without re-asking. If the user explicitly states the engagement type (e.g., "this is for our pentest of acme.com under contract"), you don't need to ask again.
**Always-on guardrails (regardless of authorization):**
- Never weaken auth, rate limits, banners, or any safety control that enforces scope on the target side.
- Never run destructive probes (true SYN scans on production, masscan at line rate, fuzzing/brute-force) outside an explicit DEEP / `--aggressive` mode.
- Never paste real PII, valid credentials, session tokens, API keys, or other secrets into cloud-hosted LLMs or third-party services.
- Never take action against assets outside the documented scope, even if "obviously related" (subsidiaries, vendors, employees' personal accounts, etc.).
---
2. Confidence Levels
Every assertion you make during an engagement should carry a confidence level. Three levels:
| Level | Meaning | Examples |
|---|---|---|
| **TENTATIVE** | Plausible based on indirect evidence; unverified. | Snippet-only Google dork match; email pattern inferred from name; subdomain returned by one passive source only; favicon-hash overlap (two hosts share a favicon — could be share
🎯 Best For
- Claude users
- Software engineers
- Development teams
- Tech leads
💡 Use Cases
- Code quality improvement
- Best practice enforcement
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply osint-methodology to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Is osint-methodology compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for osint-methodology?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install osint-methodology?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/osint-methodology/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.