// docs / ai fix prompts
AI fix prompts
E iai i finding taitasi le Copy fix prompt button i lalo o le remediation. Kiliki, faapipii i Claude / Cursor / Copilot, ma maua e le agent le canonical fix recipe mo lena vuln i le framework o lau codebase β e leai se Claude API call mai ia matou.
Auala e galue ai
E lua pieces of data e tuufaatasi i le click:
- The finding β the issue summary, affected surface, remediation guidance, and safe evidence needed to help your coding agent fix it.
- Your app context β FixVibe uses scan context when available to choose a framework-aware remediation shape, and falls back to a generic recipe when it cannot infer enough context.
Fix prompts are rendered server-side from FixVibe remediation guidance. They are designed for copy-paste use in Cursor, Claude Desktop, Copilot, or another coding agent without exposing the internal prompt registry in the browser.
Foliga o le prompt
Fix the "Reflected XSS in /search?q=" vulnerability at /search.
Issue: Query parameter q is rendered into the response body without
escaping; an attacker can inject <script> via crafted URLs.
Codebase context: Next.js.
Recommended fix:
In Next.js, render user-supplied values through JSX ({value}) so React's
automatic escaping kicks in. For server components rendering rich HTML,
sanitize with DOMPurify (server-side via JSDOM) before output.
Constraints:
- Don't break existing tests; run the test suite after the change.
- Match the codebase's existing style and lint config.
- Add a brief comment explaining the security reasoning only where the
fix would otherwise look arbitrary.
- If the fix needs a new dependency, install it via the project's
package manager (npm / pnpm / pip / bundle / composer).
Reference: CWE-79 β see https://cwe.mitre.org/data/definitions/79.htmlFrameworks e lagolagoina
Matou te surface framework-specific snippets mo:
- Next.js, React, Vue, Nuxt, Svelte (frontend)
- Express, Fastify (Node.js backend)
- Django, Flask (Python)
- Ruby on Rails
- Laravel (PHP)
- ASP.NET Core fallback guidance
Framework context is best-effort. If FixVibe cannot infer enough safely from the scan, the prompt asks your coding agent to inspect the repository before applying the fix.
Faaaoga mai lau AI agent
Afai ua e wired up le MCP server, e exposed le same prompt o se slash command. Mai Claude Desktop:
/fixvibe-fix finding_id=550e8400-e29b-41d4-a716-446655440000
The server looks up the finding, applies available scan context, renders the remediation prompt, and injects it into your conversation as the user message. No third-party LLM API call is made by FixVibe for this templated prompt.
Aisea matou te le hit Claude ai i click taitasi
I le launch sa matou mafaufau e call le Anthropic API mo click taitasi e refine ai le prompt ma codebase context. Matou te le'i faia, aua:
- O le agent e paste i ai le user ua uma ona iai codebase context β o loo latou faaaoga Cursor / Claude Desktop ma tatala la latou repo.
- Server-side templating covers the common remediation paths without any per-click model call.
- E mafai ona fire le API mulimuli ane e se opt-in βRefine with AI for my codebaseβ pe a manana'o users. I aso nei, leai.
