exploit-validation
Turn a suspected vulnerability into a proven one with a minimal, safe proof-of-concept — so the report contains working exploits, not false positives.
Skill by Tecosys
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/tecosys-exploit-validation
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: documents, testing, security
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/exploit-validation
What's inside
- Skill name
exploit-validation- Description
- Turn a suspected vulnerability into a proven one with a minimal, safe proof-of-concept — so the report contains working exploits, not false positives. Use during an authorized pentest whenever a candidate finding from web-vulnerability-testing needs confirmation before it's reported.
- License
- AGPL-3.0
- Instructions
- 29 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
A finding is only real once you've demonstrated impact. This skill builds the smallest PoC that proves it, using Nutaan's terminal and built-in browser, and nothing more aggressive than needed. ## Principles - **Minimal.** The PoC proves the vulnerability and stops. For SQLi, extract one harmless value (e.g. `version()`), not the users table. For RCE, echo a unique marker, not a shell. For SSRF, prove the internal fetch, don't pull secrets. - **Non-destructive by default.** No dropping tables, deleting records, or degrading availability. Anything destructive needs explicit prior sign-off — and even then, prefer a read-only proof. - **Reproducible.** Capture the exact request (method, URL, headers, body) and the exact response that shows impact, so anyone can re-run it. - **Scoped.** Only against the authorized target. Don't pivot to systems outside scope even if reachable. ## How to build it Work in the scratch directory, not the target's repo. - **HTTP-level** — a single `curl` or a short Python `requests`/Node script that sends the payload and prints the telling part of the response. Save it as `poc_<finding>.sh`/`.py`. - **Browser-level** (XSS, CSRF, clickjacking) — drive the built-in browser: load the injected page, show the payload executing (an `alert`/DOM marker), screenshot it. For CSRF, host a minimal auto-submitting form and show the state change. - **Timing/blind** — measure response-time deltas (blind SQLi/command injection) or use an out-of-band marker you control to prove blind SSRF/RCE. - **Auth/JWT** — forge the token (alg confusion, weak secret) and show it being accepted on a protected endpoint. ## Confirm impact, then classify For each validated finding, capture: - What an attacker gains (data read, account takeover, code exec, privilege gain). - The precondition (auth level needed, user interaction, specific configuration). - Reliability (always / race-dependent / conditional). Then compute a CVSS vector and OWASP category (hand this to `pentest-report`). If the PoC fails to prove real impact, drop the finding — do not report unvalidated hunches. A reflection that doesn't execute, an error that leaks nothing useful, or an id swap that returns only your own data are not findings.
From Tecosys/Nutaan-Code, AGPL-3.0.
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Signals
- Stars
- 1
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Sep 12, 2026 (1 month ago)
- Last release
- Sep 20, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- AGPL-3.0
- Repository
- github.com/Tecosys/Nutaan-Code
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
exploit-validation skill. Agent Mart. https://agentmart.dev/skills/tecosys-exploit-validation (last updated 2026-10-24)