transilience-hackerone

Automate HackerOne bug bounty workflows from scope parsing to report generation.

Updated Jun 21, 2026
One-click install
npx skills add https://github.com/infantesromeroadrian/arca-agent --skill transilience-hackerone
Or copy as Structured Prompt for Agentβ–Ό
Please help me install this Agent Skill.
Skill: transilience-hackerone
Source: https://github.com/infantesromeroadrian/arca-agent/tree/main/template/skills/transilience-hackerone
Command: npx skills add https://github.com/infantesromeroadrian/arca-agent --skill transilience-hackerone

SYSTEM DOCUMENTATION & REQUIREMENTS

πŸ’‘ This Skill requires csv_parser.py, report_validator.py, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates complex HackerOne bug bounty workflows, streamlining the process of parsing scope CSVs, deploying pentesting agents, validating PoCs, and generating submission reports.

Core Features & Use Cases

  • HackerOne Bug Bounty Automation: Parses scope CSVs, deploys parallel pentesting agents, validates PoCs, and generates platform-ready submission reports.
  • Automated Scope Parsing: Processes HackerOne program URLs or scope CSVs to identify eligible assets.
  • Parallel Agent Deployment: Spawns one coordinator per asset, enabling parallel testing and reducing time-to-results.
  • PoC Validation: Ensures that proof-of-concepts are valid and meets HackerOne submission standards.
  • Submission Report Generation: Generates reports in HackerOne format, ready for submission.

Quick Start

Use the /hackerone command with the HackerOne program URL or scope CSV to automate the bug bounty workflow.

Frequently Asked Questions about transilience-hackerone

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate HackerOne bug bounty workflows from a scope CSV?β–Ό

You can automate these workflows by using a command with the HackerOne program URL or scope CSV to trigger scope parsing, parallel agent deployment, PoC validation, and submission report generation.

What is parallel agent deployment in bug bounty automation?β–Ό

Parallel agent deployment in bug bounty automation spawns one coordinator per asset, enabling simultaneous testing across multiple targets. This mechanism reduces time-to-results by distributing concurrent pentesting tasks rather than testing assets sequentially.

How do I validate proof-of-concepts for HackerOne submission reports?β–Ό

Validating proof-of-concepts for HackerOne submissions requires checking them against platform standards using a validation module. This ensures your PoCs meet HackerOne submission criteria before generating the final submission report.

Do I need csv_parser.py and report_validator.py to automate pentesting workflows?β–Ό

Yes, you need csv_parser.py and report_validator.py to automate pentesting workflows because they handle the required data parsing and validation. These dependencies process scope CSVs and ensure PoC validation meets platform standards.

Can I use this automation for parsing HackerOne program URLs directly?β–Ό

Yes, you can use this automation for parsing HackerOne program URLs directly. The automated scope parsing processes both HackerOne program URLs and scope CSVs to identify eligible assets for parallel testing.

What are the limitations of using parallel pentesting agents for bug bounty testing?β–Ό

The metadata does not specify explicit limitations of using parallel pentesting agents. However, deploying one coordinator per asset means managing multiple concurrent testing processes, which may require sufficient system resources.