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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

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About

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.

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
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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 Rules

From mdriscoll-ct/TOOLS, MIT.

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Last commit (this folder)
Apr 16, 2026 (6 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Cite this page

hackerone skill. Agent Mart. https://agentmart.dev/skills/mdriscoll-ct-hackerone (last updated 2026-10-24)