# Learn

> Record a platform response and update learning. Usage: /learn <report_id> <status> [--bounty 500] [--vuln-type XSS]

- Skill: `h-mmer/learn-2` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add h-mmer/learn-2`
- Raw SKILL.md: https://api.skillmd.com/api/skills/h-mmer/learn-2/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Security
- Author: h-mmer (https://skillmd.com/u/h-mmer)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/h-mmer/learn-2

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Record platform response: $ARGUMENTS

1. Parse arguments and run: `uv run python3 ../../tools/response_tracker.py log $ARGUMENTS`
2. Also update brain: `uv run python3 ../../tools/brain.py log "Report response: $ARGUMENTS"`
3. Sync to global brain: `uv run python3 ../../tools/global_brain.py sync-from-local`
4. Show updated insights: `uv run python3 ../../tools/response_tracker.py insights`

## Top-Tier Learning Loop

Convert every platform response into a future hunting rule.

- If accepted: record the decisive proof artifact, impact framing, asset type, vuln variant, bounty tier, and why triage agreed.
- If duplicate: record the duplicated primitive and which uniqueness signal was missing.
- If N/A: record the exact sentence or policy clause that killed it.
- If informative: record the missing chain or business impact required to make it payable.
- If severity changed: record the evidence that moved it up or down.

End with one concrete update: a brain pattern, a never-submit rule, a report wording change, or a target ranking adjustment.