ai-risk-management
Apply the NIST AI Risk Management Framework (AI RMF 1.0) and adjacent guidance to AI / ML systems — model lifecycle governance,…
Gather and correlate open source intelligence from public sources for authorized investigations, threat intelligence, and attack surface assessment. Use when the user mentions 'OSINT,' 'open source intelligence,' 'digital footprint,' 'public records,' 'threat intelligence,'
$ npx -y skills add briiirussell/cybersecurity-skills --skill osint-recon --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/osint-reconContext preview
The summary Claude sees to decide when to auto-load this skill.
Gather and correlate open source intelligence from public sources for authorized investigations, threat intelligence, and attack surface assessment. Use when the user mentions 'OSINT,' 'open source intelligence,' 'digital footprint,' 'public records,' 'threat intelligence,'
name: osint-recon description: "Gather and correlate open source intelligence from public sources for authorized investigations, threat intelligence, and attack surface assessment. Use when the user mentions 'OSINT,' 'open source intelligence,' 'digital footprint,' 'public records,' 'threat intelligence,' 'investigate a domain,' or needs to research a target using publicly available data." allowed-tools: Bash, WebSearch, WebFetch, Read, Write
Systematically gather, analyze, and correlate publicly available information from open sources.
Cross-references: `recon` for the active/passive target-mapping pass against an authorized system (DNS, ports, fingerprinting) — osint-recon focuses on people, organizations, leaked data, and historical artifacts; the two pair naturally. `breach-patterns` for ingesting public breach intelligence into your own preemptive assessments. `incident-triage` if OSINT surfaces evidence the user is already compromised.
Before proceeding, confirm: 1. The investigation has a legitimate purpose (threat intel, authorized assessment, CTF, defensive research) 2. You are only gathering publicly available information 3. Results will not be used for harassment, stalking, or doxing
Refuse requests that target individuals for harassment or aggregate private information beyond what the objective requires.
Run these to map a target's infrastructure:
whois <domain> # Registration data dig any <domain> # DNS records
Query certificate transparency for subdomains:
curl -s "https://crt.sh/?q=%25.<domain>&output=json" | jq -r '.[].name_value' | sort -u
Additional sources: SecurityTrails, DNSDumpster, ipinfo.io, bgp.he.net, Wayback Machine, Shodan, Censys.
# OSINT Report ## Objective: [what we're investigating and why] ## Target: [entity/domain/person] ## Date: [date] ### Collection Summary | Source | Findings | Confidence | |--------|----------|------------| ### Key Findings #### Finding 1: [Title] - **Source:** [where this was found] - **Details:** [what was discovered] - **Confidence:** High / Medium / Low - **Relevance:** [why this matters to the objective] ### Correlations [How different findings connect to each other] ### Intelligence Gaps [What we couldn't find or verify] ### Recommendations [Next steps and actionable intelligence]
A collection of cybersecurity skills for AI coding agents. The AI does the heavy lifting; you bring the context about your stack and your priorities.
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