transilienceai/communitytools

hackerone

HackerOne bug bounty automation - parses scope CSVs, deploys parallel pentesting agents per asset, validates PoCs, and generates platform-ready submission reports.

First seen Feb 20, 2026

Installation

$ npx skills add transilienceai/communitytools --skill hackerone

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

Also in this package

Other skills from transilienceai/communitytools · top by installs.

npx skills add transilienceai/communitytools

Browse all from transilienceai/communitytools

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 516
License LICENSE
Default branch main
Open issues 8
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 7,859 B
  • docs SUMMARY.md 180 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 236 installs

SKILL.md

HackerOne Bug Bounty

Automates: scope parsing → parallel testing per asset → authoritative finding validation → submission reports.

Quick start

  1. Input: HackerOne program URL or scope CSV.
  2. Parse scope and program guidelines.
  3. Spawn one coordinator per eligible asset (parallel).
  4. Each coordinator runs the standard engagement flow (see skills/coordination/SKILL.md).
  5. Run the validate-findings workflow per asset (authoritative submission gate). Generate HackerOne reports from the validated set ONLY — never submit a finding that is not VALID/REPAIRED.

Scope CSV format

Expected columns:

  • identifier — asset URL/domain.
  • asset_type — URL, WILDCARD, API, CIDR.
  • eligibleforsubmission — must be true.
  • max_severity — critical / high / medium / low.
  • instruction — asset-specific notes.

Parse with skills/hackerone/tools/csvparser.py. Filter for eligiblefor_submission=true.

Agent deployment

One coordinator per asset, spawned in parallel:

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)

10 assets → 10 parallel coordinators (~2-4 h vs 20-40 h sequential). Each coordinator follows skills/coordination/SKILL.md and reference/role-matrix.md.

Finding validation (authoritative submission gate)

Every finding requires poc.py (executable exploit), poc_output.txt (timestamped execution proof), manual repro steps, and evidence (screenshots / HTTP captures / video). This is the input the validator consumes.

After each asset's coordinator returns, the orchestrator runs the validate-findings workflow for that asset and submits ONLY findings it marks VALID or REPAIRED:

v = Workflow(name="validate-findings", args={
    "output_dir": asset_output_dir,   # the coordinator's OUTPUT_DIR
    "target": asset_url,
    "business_tier": "revenue",       # production/external bug-bounty scope; else "unknown"
    "votes": 3,                       # adversarial refuters per finding (bounty = stricter)
    "repair": True,                   # regenerate broken/absent PoCs so each finding has a runnable evidence script
    "strict": True,                   # one failed gate => REJECTED
})
# v.counts -> {total, valid, repaired, rejected}; v.validated[] / v.rejected[]
# Verdicts at {asset_output_dir}/artifacts/validated/{id}.json (+ false-positives/).
# Asset report at {asset_output_dir}/reports/validation-report.md.

validate-findings is the authoritative gate because it directly preempts the most common HackerOne rejections: it verifies each CVE against NVD + a recomputed CVSS base score (from the vector) + CISA KEV + the vendor advisory, runs (and repairs) every PoC until it emits the evidence that proves the issue, recomputes the risk/severity, corroborates every claim against raw evidence, and kills false positives via adversarial refutation.

The orchestrator is the only layer that runs this workflow (it is top-level; the workflow is one level below — legal nesting). To avoid double work, coordinators may treat their interleaved per-finding validators (run the instant each candidate is materialized) as a provisional self-check; the standalone validate-findings verdict is authoritative for submission. A REJECTED finding is a false positive — it never enters a submission, an appendix, or a count; its artifacts/false-positives/{id}.json is the sole record. Likewise a coordinator-dropped candidate (uncured DEMOTED, in artifacts/dropped/) is never submitted.

The HackerOne PoC contract is a superset of the standard finding contract (skills/coordination/reference/validator-role.md).

Submission report format

Build each report from a validated finding only. Required sections per HackerOne standard:

  1. Summary (2-3 sentences).
  2. Severity (CVSS + business impact; v4.0 primary, v3.1 → v3.0 → v2.0 fallback) — use the score validate-findings recomputed from the vector and the risk bucket it assigned, not a hand-typed number.
  3. Steps to Reproduce (numbered, clear) — mirror the validated verification-script.py.
  4. Visual Evidence (from evidence/validation/).
  5. Impact (realistic attack scenario).
  6. Remediation (actionable fixes).

Validate report format with skills/hackerone/tools/report_validator.py (complements the finding validation).

Output structure

Standard OUTPUT_DIR (skills/coordination/reference/output-discipline.md) plus a per-asset reports/submissions/ containing the platform-ready markdown. validate-findings writes the verdicts under artifacts/validated|false-positives/ and the asset reports/validation-report.md.

{OUTPUT_DIR}/
├── findings/
│   └── finding-NNN/evidence/validation/   # validate-findings proof packages
├── reports/
│   ├── submissions/                        # built ONLY from artifacts/validated/
│   │   ├── H1_CRITICAL_001.md
│   │   └── H1_HIGH_001.md
│   ├── validation-report.md                # validate-findings asset report
│   └── SUBMISSION_GUIDE.md
├── recon/
├── logs/
└── artifacts/
    ├── validated/          # {id}.json — submit these
    └── false-positives/    # {id}.json — never submit these

Program selection

High-value: new programs (< 30 days), fast response (< 24 h), high bounties, large attack surface. Avoid: slow response (> 1 week), low bounties, restrictive scope.

Submission checklist

  • validate-findings verdict = VALID or REPAIRED (artifacts/validated/{id}.json exists). Never submit a REJECTED finding.
  • CVSS recomputed from the vector (v4.0 primary; v3.1 → v3.0 → v2.0 fallback) and matching NVD when a CVE applies (evidence/validation/cve-verification.md).
  • Working PoC with poc_output.txt (the validator re-ran/repaired it and confirmed the evidence token).
  • Step-by-step reproduction.
  • Visual evidence.
  • Realistic impact (risk score/bucket from evidence/validation/risk-assessment.md).
  • Remediation guidance.
  • Sensitive data sanitized.
  • Asset is eligibleforsubmission=true.

Common rejections (preempt)

Rejection Prevention
Out of Scope Verify eligibleforsubmission=true and asset-type match
Cannot Reproduce validate-findings re-runs (and repairs) the PoC 3× and requires a vuln-class evidence token — only reproducible findings pass the gate
Duplicate Search disclosed reports before submission; submit quickly
Insufficient Impact Document realistic attack scenario; validate-findings recomputes risk/severity so the rating is defensible
Incorrect severity / CVSS validate-findings recomputes the base score from the vector and cross-checks NVD + KEV; any mismatch is flagged before you submit

Tools

  • skills/hackerone/tools/csv_parser.py — parse HackerOne scope CSVs.
  • validate-findings workflow — authoritative per-asset finding validation (NVD/CVSS-math/KEV/exploit-run/repair/risk/adversarial). The submission gate; run once per asset.
  • skills/hackerone/tools/report_validator.py — validate report format completeness (the 6 submission sections). Complements validate-findings (which validates the finding); run it on each report built from a validated finding.
  • skills/coordination/SKILL.md — coordinator scaffold.

Usage

/hackerone <program_url_or_csv_path>