hackerone
HackerOne bug bounty automation - parses scope CSVs, deploys parallel pentesting agents for each asset, validates PoCs, and generates platform-ready…
Skill by mdriscoll-ct
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: testing
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/hackerone
What's inside
- Skill name
hackerone- Description
- HackerOne bug bounty automation - parses scope CSVs, deploys parallel pentesting agents for each asset, validates PoCs, and generates platform-ready submission reports. Use when testing HackerOne programs or preparing professional vulnerability submissions.
- License
- MIT
- Instructions
- 167 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (7)
- SKILL.md
- INTEGRATION_GUIDE.md · reference/
- sensitive-data-tracking.md · reference/
- __init__.py · tools/
- csv_parser.py · tools/
- report_validator.py · tools/
- sensitive_data_tracker.py · tools/
SKILL.md (first lines)
# HackerOne Bug Bounty Hunting
Automates HackerOne workflows: scope parsing → parallel testing → PoC validation → submission reports.
## Quick Start
```
1. Input: HackerOne program URL or CSV file
2. Parse scope and program guidelines
3. Deploy Pentester agents in parallel (one per asset)
4. Validate PoCs (poc.py + poc_output.txt required)
5. Generate HackerOne-formatted reports
```
## Workflows
**Option 1: HackerOne URL**
```
- [ ] Fetch program data and guidelines
- [ ] Download scope CSV
- [ ] Parse eligible assets
- [ ] Deploy agents in parallel
- [ ] Validate PoCs
- [ ] Generate submissions
```
**Option 2: CSV File**
```
- [ ] Parse CSV scope file
- [ ] Extract eligible_for_submission=true assets
- [ ] Collect program guidelines
- [ ] Deploy agents
- [ ] Validate and generate reports
```
## Scope CSV Format
Expected columns:
- `identifier` - Asset URL/domain
- `asset_type` - URL, WILDCARD, API, CIDR
- `eligible_for_submission` - Must be "true"
- `max_severity` - critical, high, medium, low
- `instruction` - Asset-specific notes
Use `tools/csv_parser.py` to parse.
## Agent Deployment
**Coordinator per asset** — spawned inline using role prompts:
```python
coordinator_role = Read("skills/coordination/SKILL.md")
Agent(prompt=f"{coordinator_role}\n\nTARGET: {asset_url}\nSCOPE: {program_guidelines}\nOUTPUT_DIR: ...",
run_in_background=True)
```
**Parallel Execution**:
- 10 assets = 10 coordinator agents in parallel
- Each spawns executor agents from `skills/coordination/reference/executor-role.md`
- Time: 2-4 hours vs 20-40 sequential
## PoC Validation (CRITICAL)
**Every finding MUST have**:
1. `poc.py` - Executable exploit script
2. `poc_output.txt` - Timestamped execution proof
3. `workflow.md` - Manual steps (if applicable)
4. Evidence screenshots/videos
**Experimentation**: Test edge cases, verify impact, document failures.
## Report Format
Required sections (HackerOne standard):
1. Summary (2-3 sentences)
2. Severity (CVSS + business impact)
3. Steps to Reproduce (numbered, clear)
4. Visual Evidence (screenshots/video)
5. Impact (realistic attack scenario)
6. Remediation (actionable fixes)
Use `tools/report_validator.py` to validate.
## Output Structure
Per OUTPUT.md - Bug Bounty format:
```
{OUTPUT_DIR}/
├── findings/
│ ├── finding-001/
│ │ ├── report.md # HackerOne report
│ │ ├── poc.py # Validated PoC
│ │ ├── poc_output.txt # Proof
│ │ └── workflow.md # Manual steps
├── reports/
│ ├── submissions/
│ │ ├── H1_CRITICAL_001.md # Ready to submit
│ │ └── H1_HIGH_001.md
│ └── SUBMISSION_GUIDE.md
└── evidence/
├── screenshots/
└── http-logs/
```
## Program Selection
**High-Value**:
- New programs (< 30 days)
- Fast response (< 24 hours)
- High bounties (Critical: $5,000+)
- Large attack surface
**Avoid**:
- Slow response (> 1 week)
- Low bounties (Critical: < $500)
- Overly restrictive scope
## Critical RulesFrom mdriscoll-ct/TOOLS, MIT.
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Apr 16, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/mdriscoll-ct/TOOLS
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Cite this page
hackerone skill. Agent Mart. https://agentmart.dev/skills/mdriscoll-ct-hackerone (last updated 2026-10-24)