learn
SkillSecurityEnd with one concrete update: a brain pattern, a never-submit rule, a report wording change, or a target ranking adjustment.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the learn skill
About this capability
Record a platform response and update learning. Usage: /learn <report_id> <status> [--bounty 500] [--vuln-type XSS]
What this skill tells your AI
The instructions your AI receives, as published by h-mmer/pentest-agents in providers/cursor/.cursor/skills/cmd-learn/SKILL.md and read by ahel’s review.
Record platform response: $ARGUMENTS
- Parse arguments and run:
uv run python3 ../../tools/response_tracker.py log $ARGUMENTS - Also update brain:
uv run python3 ../../tools/brain.py log "Report response: $ARGUMENTS" - Sync to global brain:
uv run python3 ../../tools/global_brain.py sync-from-local - 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.
Signals
- GitHub stars
- 908
- Forks
- 169
- Last commit
- Jun 2026
Advanced
- Catalog kind
- skill
- Gateway key
learn-h-mmer- Source
- github.com/h-mmer/pentest-agents