BugBountyFramework
BugBountyFramework is a Penetration testing & red team skill for AI agents, published by h4ckologic in the bughunter-ai repository on GitHub. Skillspace rates BugBountyFramework D (69/100) and the safety scan flagged it for review; the rating is based on static analysis only.
Flagged for review. Read the source before running it.
Autonomous agentic bug bounty hunting framework v2.0. BugHunter orchestrator with state-machine-driven phases, credential vault, auth flow automation, intelligent skill routing, Burp MCP bridge, parallel agent execution, LLM/AI target track, configurable severity profiles, and live dashboard. USE WHEN bug bounty, bounty hunt, hunt for bugs, autonomous security testing, find vulnerabilities, bughunter, hunt target, assess program, zero day research, critical vulnerabilities, autonomous pentest, continuous bug bounty, hunt.
- Grade
- D
- Quality
- 69 / 100
- Safety
- Needs review
- GitHub stars
- 54
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
- 79 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Medium-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- suspicious outbound endpoint
- 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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