MR
Mayur Rathi
@sickn33
⭐ 47.3k GitHub stars

hunt-misc

hunt-misc is an code AI skill with a core value of Hunting skill for misc vulnerabilities. It helps developers solve real-world problems in the code domain, boosting efficiency, automating repetitive tasks, and optimizing workflows.

Hunting skill for misc vulnerabilities. Built from 225 public bug bounty reports. Use when hunting misc on any target.

Last verified on: 2026-10-06

Quick Facts

Category code
Works With Claude
Source sickn33/antigravity-awesome-skills
Stars ⭐ 47.3k
Last Verified 2026-10-06
Risk Level Low
mkdir -p ./skills/hunt-misc && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/hunt-misc/SKILL.md -o ./skills/hunt-misc/SKILL.md

Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).

Skill Content

> **⚠️ AUTHORIZED USE ONLY**

> This skill is for educational purposes or authorized security assessments only.

> You must have explicit, written permission from the system owner before using this tool.

> Misuse of this tool is illegal and strictly prohibited.


> **Mandatory confirmation gate**

> Before running any command that probes, exploits, changes, persists on, extracts data from, or attempts credential access against a target:

> 1. Ask the user to state the exact target URL, IP, account, or resource.

> 2. Ask the user to confirm written authorization and the permitted scope.

> 3. Show the exact command(s) and explain their expected effect.

> 4. Wait for explicit confirmation in the current conversation.

>

> Without that confirmation, remain read-only and provide defensive guidance only. Prefer a sandbox, disposable VM, or controlled lab.


Crown Jewel Targets


**Why this vuln class pays:**

MISC vulnerabilities span access control failures, information disclosure, session/auth logic bugs, and misconfiguration — the categories that consistently produce the highest payouts because they map directly to business impact: data exposure, account takeover, privilege escalation, and infrastructure compromise.


**Highest-value targets:**

- **SaaS platforms with role hierarchies** (Shopify, GitHub, GitLab) — any boundary between owner/admin/staff/guest is a privilege escalation surface

- **Identity/auth flows** — invitation links, password reset, SAML SSO, OAuth token scopes

- **Multi-tenant systems** — one tenant touching another tenant's data

- **Internal APIs** — LFS endpoints, pre-receive hooks, internal GraphQL/REST that assume caller is trusted

- **Domain/DNS management features** — transfer controls, subdomain delegation

- **Token/credential management** — PAT scopes, deploy keys, API tokens stored in config fields


**Asset types that pay most:**

- Core product APIs (not marketing subdomains)

- Enterprise/self-hosted editions (GitHub Enterprise, GitLab EE)

- Partner/collaborator invitation systems

- OAuth app integrations and webhook endpoints


---


Attack Surface Signals


**URL patterns to watch:**

text
/admin/*/transfer
/invitations/*
/partners/*/accept
/api/v*/repos/*/lfs/*
/-/settings/integrations/sentry
/api/v*/user/installations
/hooks/pre-receive/*
/reset-password?token=
/auth/saml/callback
/api/v*/packages/pypi/*

**Response header signals:**

text
X-Request-Id (pitchfork/Rack — check for header injection)
X-Shopify-Shop-Api-Call-Limit
X-GitLab-*

**JS patterns revealing internal surfaces:**

javascript
// Look for hardcoded internal API paths
fetch('/internal/api/
graphql { installations(
"scope": [], // empty scopes on tokens
"permissions": {"contents": "read"} // minimal scope PATs

**Tech stack signals:**

- Ruby/Rack middleware (CRLF injection risk in `pitchfork`)

- SAML SSO enabled on enterprise instances

- PyPI proxy/mirror configurations (dependency confusion)

- Sentry error tracking integration fields (SSRF/token leak vector)

- Multi-role invitation systems (partners, staff, collaborators)


---


Step-by-Step Hunting Methodology


1. **Map all role/permission boundaries** — enumerate every role level (owner → admin → staff → guest → removed) and document what each role *should* see


**Marker Discipline:** when probing role boundaries by injecting unique tokens / identifiers into per-role test data, markers MUST be unique random alphanumeric strings (8+ chars, no English words, no protocol keywords). Bad markers: `test`, `marker`, `attacker`, `evil`, `admin`, `AAAA`. Good markers: `cpmark987abc`, `x4hd2k9pq`. Before claiming any reflection, search the baseline (no-marker) response for the marker — if it appears naturally, change your marker.


**Body-Diff Rule:** a privilege-bypass claim requires response BODY differential, not status-code-only. 200 OK with byte-identical body to baseline is NOT a bypass. Always diff bodies side-by-side before claiming bypass. Status-code-only claims are t

🎯 Best For

  • UI designers
  • Product designers
  • Claude users
  • Software engineers
  • Development teams

💡 Use Cases

  • Generating component mockups
  • Creating design system tokens
  • Code quality improvement
  • Best practice enforcement

📖 How to Use This Skill

  1. 1

    Install the Skill

    Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.

  2. 2

    Load into Your AI Assistant

    Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply hunt-misc to Your Work

    Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.

  4. 4

    Review and Refine

    Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.

❓ Frequently Asked Questions

Does this work with Figma?

Some design skills integrate with Figma plugins. Check the Works With section for supported tools.

Is hunt-misc compatible with Cursor and VS Code?

Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.

Do I need specific dependencies for hunt-misc?

Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.

How do I install hunt-misc?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/hunt-misc/SKILL.md, ready to use.

Can I customize this skill for my team?

Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.

⚠️ Common Mistakes to Avoid

Skipping usability testing

AI-generated designs should be validated with real users before development.

Skipping validation

Always test AI-generated code changes, even for simple refactors.

Missing dependency updates

Check if the skill requires updated dependencies or new packages.

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