recon-a-domain-passively
recon-a-domain-passively is a Penetration testing & red team skill for AI agents, published by UseOSINT in the Skills repository on GitHub. Skillspace rates recon-a-domain-passively D (56/100) and it passed the safety scan; the rating is based on static analysis only.
End-to-end passive reconnaissance for a domain, website or IP — builds an asset inventory covering registration, DNS, subdomains, infrastructure, tech stack, history and ownership without sending a single packet to the target. Use when asked to research or profile a domain or website, map what an organisation runs, or investigate a suspicious site without alerting its operator. Applies to vendor and third-party risk assessment, attack-surface review, M&A technical diligence, phishing and fraud-site investigation, and pre-engagement scoping. Reference at useosint.com/skills/recon-a-domain-passively.
- Grade
- D
- Quality
- 56 / 100
- Safety
- Passed
- GitHub stars
- 33
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 78 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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