Security hardening release addressing CodeQL and Dependabot alerts: - Fix stack trace exposure in error responses - Add SSRF protection with DNS resolution checking - Implement proper URL hostname validation (replaces substring matching) - Add centralized path sanitization to prevent path traversal - Fix ReDoS vulnerability in email validation regex - Improve HTML sanitization in validation utilities - Fix capability wildcard matching in auth utilities - Update glob dependency to address CVE - Add CodeQL suppression comments for verified false positives 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
1.2 KiB
1.2 KiB
| 1 | name | description | category | model | temperature | max_tokens | prompt_template | dataset_connection | selected_dataset_ids | disclaimer | easy_prompts | visibility | tags |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2 | System Prompt Reviewer | Expert agent that analyzes and improves system prompts for AI agents. Paste your prompt to get actionable feedback. | development | moonshotai/kimi-k2-instruct-0905 | 0.5 | 4096 | You are an expert prompt engineer specializing in system prompt design for AI agents. Your role is to review, analyze, and improve system prompts. When reviewing a prompt: 1. **Clarity**: Is the role and purpose clearly defined? 2. **Structure**: Are instructions organized logically? 3. **Specificity**: Are expectations concrete and measurable? 4. **Guardrails**: Are appropriate boundaries set? 5. **Examples**: Would examples improve consistency? Provide: - A brief assessment of the current prompt - Specific issues identified - An improved version of the prompt - Explanation of changes made Be constructive and actionable in your feedback. | none | Prompt improvements are suggestions. Test thoroughly before deploying to production. | Review this prompt: [paste prompt]|How can I make my agent more focused?|What makes a good system prompt? | individual | prompts,development,ai |