开发者工具1 month ago · 1 次试用
Targe — LLM security scanning & audit reports
用对抗测试检查LLM端点安全，获取OWASP审计报告。
@aryaan_sheth · X
- LLM security for small teams
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用对抗测试检查LLM端点安全，获取OWASP审计报告。
@aryaan_sheth · X
- LLM security for small teams
免费网站分析器和SEO审计工具——在60秒内扫描任何网站的性能、SEO、安全、无障碍和UI/UX问题。修复影响您排名的问题。
@WebScore_now · X
Jira测试管理插件，连接需求、测试用例和执行结果。
@pakosteve · X
Improve your SaaS quality when scaling (by register requirements and test via MCP)
Tako 在 60 秒内扫描网页应用，发现泄露密钥和开放数据库等安全漏洞。
@guhanvenkaty · X
Tako's free preview is live: Paste your URL, get a security verdict on your vibe-coded app in 60s. Not an AI wrapper: it fires real requests and PROVES exposure, pulling data from your open DB with no login. Scanning puts you on the early-access waitlist.
免费的网站安全扫描器，检查 SSL、headers 和合规性，提供即时的信任分数和 AI 指导的修复。
@MrPenetratorTP · X
MrPenetrator helps businesses monitor their website’s trust, security and performance before problems affect their visitors.
Run a $9 AI visibility audit across OpenAI, Claude, Gemini, and Grok. See where AI overlooks your brand, who appears instead, and what to fix next.
@kylekane · X
检测LLM API是否被降智或偷换模型，一键跑6项探针得出结果
cocodot LLM 降智检测 — 免费的 LLM API「降智/偷换模型」在线检测：填入任意 OpenAI 兼容端点的 base_url 和临时 API Key，跑 6 项探针（模型声明、动态题、能力完整性等）生成分项报告；Key 仅用于当次检测、不落库不留存，检测方法[开源](https://github.com/cocodot2026/cocodot-llmprobe)
扫描GitHub代码库查找安全漏洞，AI提供修复建议。
u/uwais_ish · Reddit
Three weeks to build an AI security scanner. The scanner was the easy part. Shipped RedFlag this month. Breakdown of where the time actually went, because it was nothing like I estimated. Stack: Next.js 16, Auth.js v5, MongoDB, Stripe, OpenAI. Deployed on Vercel. What I thought would be hard: getting an LLM to find real vulnerabilities. What was actually hard: getting it to stop finding fake ones. First working version flagged 200+ issues on a clean repo. Every one plausible, most of th
Zuvio Atlas — 通过 AI 根因诊断监控服务器和按需响应。
@iamjackwiz · X
监控 SSL 证书和网站安全，包含自动续期检测、安全头部监控和 DNS 健康检查。
@di_spivak · X
记录交易并上传支付单据，标记缺失或被收回的佣金。
u/JustinMoose · Reddit
I built an app that flags when commission earners get underpaid, unpaid, or clawed back I sell insurance for a living, and a while back I realized I had no real way to know whether the carriers actually paid me correctly. You bind a policy, and 30-60 days later some commission shows up on a statement, and you just kind of trust the number. Across hundreds of policies and a few carriers, that's impossible to track in your head. So I built PayoutVerify. You log what you sold and what you expe