/remember banner
shuvonsec shuvonsec

/remember

Development community intermediate

Description

Save a finding or successful pattern to persistent hunt memory.

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

Repository README

This is the README for shuvonsec/claude-bug-bounty, shared by 16 entries in this directory. It describes the repository, not this entry specifically.


description: Log current finding or successful pattern to hunt memory. Auto-fills from /validate output if available. Usage: /remember

/remember

Save a finding or successful pattern to persistent hunt memory.

What This Does

  1. Auto-populates fields from session context (target, endpoint, vuln_class, technique)
  2. If /validate was run in this session, pre-fills from validation output
  3. Prompts you to confirm or edit before saving
  4. Writes to journal.jsonl (always) + patterns.jsonl (if confirmed + payout > 0)
  5. Updates the target profile's tested_endpoints and findings

Usage

/remember                    # after finding something
/remember --from-validate    # explicitly pull from last /validate

Interactive Flow

REMEMBER — Log finding to hunt memory

Target:     target.com (auto-detected)
Endpoint:   /api/v2/users/{id}/orders (from session)
Vuln Class: idor (from session)
Technique:  numeric_id_swap_with_put_method

Result:     [confirmed / rejected / partial / informational]?
Severity:   [critical / high / medium / low]?
Payout:     $___?
Notes:      ___?
Tags:       [comma-separated]?

Save to hunt memory? [y/n]

Minimum Required Fields

  • target
  • vuln_class
  • endpoint
  • result

What Gets Written

Field journal.jsonl patterns.jsonl target profile
Finding details Always If confirmed + payout > 0 findings[] updated
Tested endpoint tested_endpoints[] updated
Tech stack From target profile

Why This Matters

  • Next time you hunt a target with similar tech stack, your successful patterns are suggested first
  • /resume target.com shows which endpoints you've tested and which remain
  • Cross-target learning: patterns from target A inform hunting on target B