h-mmer/sync

Sync bug bounty program data: $ARGUMENTS

Parse the arguments as: <platform> <program_handle>

1. 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.
2. After sync completes, run uv run python3 ../../tools/brain.py init if brain isn't initialized yet.
3. Read the generated scope.yaml and hacktivity.md files.
4. 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

1. 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.