| name | sync |
| description | Sync program scope, policy, and hacktivity from a bug bounty platform. Usage: /sync hackerone tesla or /sync bugcrowd uber |
Sync bug bounty program data: $ARGUMENTS
Parse the arguments as: <program_handle>
- Use the
bounty-platforms MCP server tool sync_program with the platform and program handle. This fetches scope, policy, and hacktivity and writes them to the current directory.
- After sync completes, run
uv run python3 ../../tools/brain.py init if brain isn't initialized yet.
- Read the generated
scope.yaml and hacktivity.md files.
- Update the brain with key intelligence from hacktivity:
- Run
uv run python3 ../../tools/brain.py log "Synced program data from <platform>/<program>"
- If hacktivity shows common vulnerability types, note them as priority areas
- If hacktivity shows many duplicates of a type, note them as areas to avoid
- Summarize: scope overview, policy highlights (restrictions, safe harbor), and hacktivity patterns (most common vuln types, average bounties).
Top-Tier Sync Standard
Policy is hunting input, not paperwork.
Extract and persist:
- exact in-scope assets, wildcard rules, mobile/API/cloud qualifiers, and third-party exclusions
- required headers, user-agent, testing accounts, sandbox rules, rate limits, and forbidden actions
- severity exclusions and never-pay classes
- payout hints from hacktivity: accepted classes, duplicate-heavy classes, bounty tiers, triage language
- newly added or removed assets since last sync
End with a hunt bias: where the program appears to pay, where it appears saturated, and what proof standard the policy implies.
