by flare-collection · MCP Server · ★ 53
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npm install flare-redact
npm install -g flare-redactTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 53 |
| Forks | 1 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70/100 |
| Last Updated | 2026-08-09 |
| Created | 2026-07-14 |
| Platforms | mcp, node |
| Est. Tokens | ~25k |
flare-redact Hide secrets & PII in logs, prompts, and text — before they leak. 🌐 International by default — 24 languages 🇬🇧 🇨🇳 🇮🇳 🇪🇸 🇸🇦 🇫🇷 🇵🇹 🇷🇺 🇯🇵 🇩🇪 🇰🇷 🇹🇷 🇮🇹 🇮🇷 🇵🇱 🇺🇦 🇳🇱 🇻🇳 🇮🇩 🇹🇭 🇬🇷 🇮🇱 🇦🇿 🇷🇴 Live playground ·
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Self-hosted PII redaction proxy for LLM APIs and agent CLIs. Scrubs names, emails and secrets from Claude Code
Lightweight, stateless privacy gateway for LLM APIs — redact secrets before OpenAI/Anthropic upstreams and res
Offline PII firewall for AI agents and LLM apps: fast local detection and redaction, Claude Code hook, LiteLLM
繁體中文（台灣）個人資料去識別化工具，讓業務文件可以安全地送進 AI 處理 / Reversible Traditional-Chinese (Taiwan) PII de-identification for LLM
Find and redact secrets in AI coding agent histories (Claude Code, and more).
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: