open-tor
open-tor is a Blue team & detection skill for AI agents, published by vichhka-git in the OpenTor repository on GitHub. Skillspace rates open-tor C (77/100) and it passed the safety scan; the rating is based on static analysis only.
Search and access the Tor dark web and .onion hidden services. Use when user asks to search dark web, investigate .onion sites, check for dark web data leaks, fetch onion URLs, hunt ransomware groups, look up leaked credentials, conduct Tor-based OSINT, or monitor dark web activity. Provides 12 search engines, batch scraping, entity extraction, relevance scoring, and export to CSV/JSON/STIX/MISP. Requires Tor running locally (socks://127.0.0.1:9050).
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 69
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked 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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