v3.0.0 — Bionic Hunter: Autonomous Mode + MCP Integrations

Bionic Hunter Release

Transforms Claude Bug Bounty from a knowledge-only tool into a bionic hacker -- AI that sees your traffic, remembers past hunts, fetches real-time intel, and runs autonomous hunt loops.

New Features

Autonomous Hunt Loop (/autopilot)

• 7-step loop: scope, recon, rank, hunt, validate, report, checkpoint
• 3 modes: --paranoid (stop per finding), --normal (batch), --yolo (minimal checkpoints)
• Circuit breaker stops hammering hosts after consecutive failures
• Per-host rate limiting (1 req/sec testing, 10 req/sec recon)
• Every outbound request logged to audit.jsonl

Persistent Hunt Memory

• JSONL-based journal with concurrent-safe writes
• Cross-target pattern learning
• Target profiles with tested/untested endpoints
• Schema-validated data with versioning

MCP Integrations

• Burp Suite -- read proxy history, replay requests, Collaborator payloads
• HackerOne -- public API: disclosed reports, program stats, scope/policy

On-Demand Intel (/intel)

• Wraps learn.py + HackerOne MCP + hunt memory context
• Flags untested CVEs, new endpoints, cross-target patterns

Deterministic Scope Safety

• Anchored suffix matching (not fnmatch, not LLM judgment)

5 New Commands

/autopilot, /surface, /resume, /remember, /intel

2 New Agents

autopilot (autonomous loop), recon-ranker (surface ranking)

Reorganized

All tools in tools/, MCP servers in mcp/, memory in memory/

Stats

• 13 slash commands (was 8)
• 7 agents (was 5)
• 129 tests all passing
• 21 tool files organized in tools/

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