paranoid — Claude Code skill: security review while you code
Makes the agent write and review code as if a pentester reads it tomorrow. Useful wherever code touches auth, user input or secrets.
npx skills add kulchankas/paranoid --skill paranoid -a claude-codeWhat paranoid does
The skill runs three steps. First the agent states the trust boundary out loud: who can reach this code and what they control. Then it applies a secure default for each risk class it crosses — ownership checks on records fetched by a client-supplied id, parameterized queries instead of string building, webhook signature verification before the body is trusted, an allow-list of fields instead of spreading a request body into a record. Last comes a short adversarial pass: someone else's id, a logged-out call, a 10 MB payload, ../, <script>, a file:// URL.
A table maps ten risk classes to reference files: references/auth-access.md, references/injection.md, references/apis-webhooks.md, references/secrets-config.md. The agent opens them only when it needs depth or an example. There is also a refusal list: permission checks that live only in the frontend, dangerouslySetInnerHTML fed by user data, SQL from template strings, eval or exec on user input, a database rule of if true, TLS verification turned off.
How much paranoia to spend depends on the blast radius. A form reading public data needs one sentence of threat modeling; a file upload that shells out to ffmpeg needs real care. Before a commit, the skill points at a seven-question gate in checklists/pre-commit.md. Scope is your own code and your own app on localhost — it will not help scan hosts you do not own or build live malware.
What it helps with
- catch IDOR before someone else's id returns their record
- close SQL injection in a query assembled from strings
- turn on deny-by-default in Supabase or Firebase rules
- verify a webhook signature before parsing the body
- strip secrets out of code shipped to the browser
Example prompts for the agent
- Add a delete-post endpoint, but name the trust boundary first and check ownership
- Review this file upload handler for SSRF and path traversal
- Run an adversarial pass on
api/webhooks/stripe.ts: what happens with someone else's id, or logged out?
How to install paranoid
1Skills CLI (Vercel)
npx skills add kulchankas/paranoid --skill paranoid -a claude-code2Manually: put the files in place
~/.claude/skills/paranoid/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/paranoid/
1Skills CLI (Vercel)
npx skills add kulchankas/paranoid --skill paranoid -a codex2Manually: put the files in place
.agents/skills/paranoid/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add kulchankas/paranoid --skill paranoid -a cursor2Manually: put the files in place
.cursor/skills/paranoid/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install kulchankas/paranoid paranoid2Manually: put the files in place
.github/skills/paranoid/SKILL.md1Skills CLI (Vercel)
npx skills add kulchankas/paranoid --skill paranoid -a gemini-cli2Platform CLI
gemini skills install https://github.com/kulchankas/paranoid --path skills/paranoidManually: put the files in place
.devin/skills/paranoid/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add kulchankas/paranoid --skill paranoid -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about paranoid
How do I install paranoid in Claude Code?
Run npx skills add kulchankas/paranoid --skill paranoid -a claude-code. The skill lands at ~/.claude/skills/paranoid/SKILL.md.
What does paranoid do?
It makes the agent name the trust boundary before writing a feature, apply a secure default for each risk class, and try to break its own code before calling it done.
How is it different from a normal code review?
It targets ten failure modes common in LLM-written code: broken access control, injection, SSRF, mass assignment, secrets in the client. There is a separate list of patterns it refuses to write.
Source text
SKILL.md · MIT
--- name: paranoid description: >- Write and review code as if it gets pentested tomorrow. Load this whenever code touches a trust boundary: authentication, authorization, user input, database access, secrets or environment variables, file uploads, outbound requests (fetch/webhooks), API or webhook endpoints, or anything that runs raw SQL/shell/HTML. Also load it when the user asks to security-review, harden, or "hack"/pentest their own app, or mentions Supabase/Firebase rules, IDOR, XSS, SSRF, injection, CORS, or leaked keys. --- # paranoid You are reviewing every line you write as if a bored attacker will read it tomorrow. Most code an agent produces *works*; roughly half of the working backends LLMs generate are still exploitable. Your job is to be the half that isn't. Three rules, in order: 1. **Name the trust boundary before you write the feature.** 2. **Apply the secure default for each risk class you cross.** 3. **Try to break it before you call it done.** Keep this lightweight. A CRUD form that reads public data needs one sentence of threat-modeling. A file upload that shells out to `ffmpeg` needs real care. Match the paranoia to the blast radius — don't lecture the user about CSRF on a static marketing page. --- ## 1. Name the trust boundary (one line, out loud) Before writing anything that crosses a boundary, state — in the chat, briefly — who can reach this code and what they control: > *"This endpoint takes a `postId` from the client. Anyone logged in can call it, > so I must check the post belongs to the caller before returning it."* That single sentence prevents the most common class of AI-written bug (broken access control). If you can't say who the caller is and what they can forge, stop and ask the user. ## 2. Secure defaults per risk class When you touch one of these, apply the rule. Open the matching reference file **only when you need depth or an example** — don't preload them. | If the code… | Non-negotiable default | Depth | |-------------------------------------------------|-------------------------------------------------------------------------------------|-------| | Reads/writes a record by client-supplied id | Check the record belongs to the authenticated caller (ownership, not just login) | `references/auth-access.md` | | Adds an API route / server action / handler | It is authenticated and authorized *by default*; public is an explicit decision | `references/apis-webhooks.md` | | Runs on a client the user controls (browser/app) | It holds no secret and enforces no security decision; the server re-checks everything | `references/secrets-config.md` | | Builds SQL, a shell command, HTML, or a file path| Never by string concatenation — parameterize / escape / allow-list | `references/injection.md` | | Fetches a URL the user gave you | Treat it as hostile: block internal ranges, no redirects to them (SSRF) | `references/injection.md` | | Uses Supabase / Firebase / any BaaS | Row-Level-Security / rules ON and deny-by-default; never `if true` | `references/auth-access.md` | | Receives a webhook (Stripe, GitHub, …) | Verify the signature before trusting the body | `references/apis-webhooks.md` | | Accepts a request body into an update | Allow-list the fields; never spread the whole body into the record (mass assignment) | `references/injection.md` | | Handles secrets / config | From env only, never hardcoded, never returned to the client, never logged | `references/secrets-config.md` | | Returns errors, sets CORS, or logs | Generic errors to clients, no PII in logs, CORS is an allow-list not `*` w/ creds | `references/apis-webhooks.md` | The ten failure modes above are the ones LLM-generated code actually ships. The catalogue with detection tips and fix patterns is in [`references/vibe-top-10.md`](references/vibe-top-10.md). ### Hard "never introduce" list Refuse to write these even if asked casually — say why, offer the safe version: - Auth/permission check that lives **only** in the frontend. - `dangerouslySetInnerHTML` / `innerHTML` / `v-html` fed by user data without sanitizing. - SQL built with template strings or `+` around user input. - `eval`, `exec`, `child_process` with a string that contains user input. - Secret, private key, or admin token in code shipped to the browser. - A database rule of `allow read, write: if true` (or RLS disabled) on real data. - Disabling TLS verification, or `Access-Control-Allow-Origin: *` together with credentials. ## 3. Try to break it before "done" For anything that crossed a boundary, do a 30-second adversarial pass and say what you checked: - What happens if I pass **someone else's id**? A **negative / huge / non-numeric** id? - If I call this endpoint **logged out**? As a **different user**? - If the input is 10 MB? Contains `../`, `<script>`, `'; DROP`, a `file://` URL? - If two requests race? If the app is running locally and the user wants proof, use the **hack-me** workflow (see [`../../commands/hack-me.md`](../../commands/hack-me.md)): it exploits the user's *own* app on localhost, shows the bug is real, patches it, and re-runs to confirm the fix. For where routes and auth live per stack (Next.js, FastAPI, Express), see [`references/frameworks.md`](references/frameworks.md). Before committing a feature, run the gate in [`checklists/pre-commit.md`](checklists/pre-commit.md). It's seven questions; if they all pass, ship. --- ## Scope & safety This skill is for securing the **user's own** code and pentesting the **user's own** running app with their say-so. It does not help target third-party systems, scan hosts the user doesn't own, evade detection, or build live malware. If a request drifts that way, stop and say so.
© kulchankas · MIT · kulchankas/paranoid