How do I install the Submit skill?

Run npx skillmds@latest add h-mmer/submit-2 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Submit safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Submit?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Submit free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Submit?

h-mmer (@h-mmer) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Submit by h-mmer — Agent Skill

Name: Submit
Author: h-mmer

File contents

Prepare and submit a report for finding: $ARGUMENTS

Workflow: 0. Read rules/identities.md to learn which env vars hold the researcher handle, email alias, and API token for the platform identified in step 1. NEVER hardcode a username or email; always reference the env-var symbol. If a required var is unset, abort with error: <VAR> is not set; refusing to guess and surface it to the user.

Read scope.yaml to determine the platform and program handle.
Read the finding details from brain/findings/poc directory matching "$ARGUMENTS".
Use MCP tool draft_report to create a platform-formatted draft:
- Format title as: [Vuln Type] in [Component] allows [Impact] via [Vector]
- Include CVSS vector string (CVSS 3.1 for HackerOne, CVSS 4.0 for all others)
- Map vulnerability type to platform-specific taxonomy (H1 weakness IDs, Bugcrowd VRT)
- Include all reproduction steps, impact, and remediation
Show the draft to the user and ASK FOR CONFIRMATION before submitting.
ONLY after explicit user approval, use MCP tool submit_report to submit.
After submission, update the brain: uv run python3 ../../tools/brain.py record <target> confirmed <technique> "Submitted as report #<id> on <platform>"
Update findings.json status to "reported".

IMPORTANT: NEVER submit without showing the draft and getting explicit user confirmation.

Top-Tier Submission Discipline

Submission is a controlled release.

Before asking for approval, verify:

/validate PASS or explicit accepted equivalent exists
/quality score is acceptable and blocking issues are fixed
/dupcheck result is included or intentionally skipped with reason
all evidence paths exist on disk
platform taxonomy, severity, and CVSS version match the platform
no secrets, customer data, or prohibited artifacts are over-shared
remediation is actionable and scoped to the root cause

Show the user the final title, severity, platform, target asset, evidence list, and any residual risk. If anything changed after draft generation, re-run quality before submission.

---name: submit-2description: Draft and submit a vulnerability report to the bug bounty platform. Reads scope.yaml for platform/program, uses brain + findings for content. Always drafts first for review.---Prepare and submit a report for finding: $ARGUMENTSWorkflow:0. Read `rules/identities.md` to learn which env vars hold the researcher handle, email alias, and API token for the platform identified in step 1. NEVER hardcode a username or email; always reference the env-var symbol. If a required var is unset, abort with `error: <VAR> is not set; refusing to guess` and surface it to the user.1. Read `scope.yaml` to determine the platform and program handle.2. Read the finding details from brain/findings/poc directory matching "$ARGUMENTS".3. Use MCP tool `draft_report` to create a platform-formatted draft: - Format title as: `[Vuln Type] in [Component] allows [Impact] via [Vector]` - Include CVSS vector string (CVSS 3.1 for HackerOne, CVSS 4.0 for all others) - Map vulnerability type to platform-specific taxonomy (H1 weakness IDs, Bugcrowd VRT) - Include all reproduction steps, impact, and remediation4. Show the draft to the user and ASK FOR CONFIRMATION before submitting.5. ONLY after explicit user approval, use MCP tool `submit_report` to submit.6. After submission, update the brain: `uv run python3 ../../tools/brain.py record <target> confirmed <technique> "Submitted as report #<id> on <platform>"`7. Update findings.json status to "reported".IMPORTANT: NEVER submit without showing the draft and getting explicit user confirmation.## Top-Tier Submission DisciplineSubmission is a controlled release.Before asking for approval, verify:- `/validate` PASS or explicit accepted equivalent exists- `/quality` score is acceptable and blocking issues are fixed- `/dupcheck` result is included or intentionally skipped with reason- all evidence paths exist on disk- platform taxonomy, severity, and CVSS version match the platform- no secrets, customer data, or prohibited artifacts are over-shared- remediation is actionable and scoped to the root causeShow the user the final title, severity, platform, target asset, evidence list, and any residual risk. If anything changed after draft generation, re-run quality before submission.

Frequently asked questions

Submit