// docs / ai fix prompts
AI fix prompts
Finding kọ̀ọ̀kan ní bọ́tìnì Copy fix prompt ní abẹ́ remediation. Tẹ ẹ́, lẹ̀ é sínú Claude / Cursor / Copilot, agent náà yóò sì gba recipe ìtúnṣe àṣẹ fún vuln yẹn nínú framework codebase rẹ — kò sí Claude API call láti ọ̀dọ̀ wa.
Bí ó ṣe ń ṣiṣẹ́
Ìpín data méjì ń darapọ̀ nígbà click:
- The finding — the issue summary, affected surface, remediation guidance, and safe evidence needed to help your coding agent fix it.
- Your app context — 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.
Bí prompt ṣe rí
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 — see https://cwe.mitre.org/data/definitions/79.htmlFrameworks tí a ṣe support
A ń fi snippets pàtó sí framework hàn fún:
- 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.
Lo ó láti AI agent rẹ
Bí o bá ti so MCP server pọ̀, prompt kan náà hàn gẹ́gẹ́ bí slash command. Láti 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.
Ìdí tí a kò fi ń pe Claude fún click kọ̀ọ̀kan
Ní ìbẹ̀rẹ̀ a rò pé ká pe Anthropic API fún click kọ̀ọ̀kan láti refine prompt pẹ̀lú context codebase. A kò ṣe bẹ́ẹ̀, nítorí pé:
- Agent tí oníṣe lẹ̀ sínú rẹ ti ní context codebase tẹ́lẹ̀ — wọ́n ń lo Cursor / Claude Desktop pẹ̀lú repo wọn tí ó ṣí.
- Server-side templating covers the common remediation paths without any per-click model call.
- Opt-in “Refine with AI for my codebase” lè pe API lẹ́yìn náà bí àwọn oníṣe bá fẹ́. Lónìí, rárá.
