Audit AI agents, Skills, MCP configurations, tool permissions, and coding-agent setups for prompt injection, excessive agency, credential exposure, data leakage, unsafe code execution, supply-chain risks, memory risks, missing approval controls, and runaway autonomy. Get a calibrated Security Score, Audit Confidence, evidence-backed findings, remediation steps, verification checks, and residual-risk analysis.
Check suspicious emails, texts, links, payment changes, job offers and marketplace messages before you click, pay or reply. ScamShield highlights observable red flags and gives privacy-safe verification steps without opening links.
Before you install an MCP server or agent skill, find out what it reads, runs, and sends. Share a GitHub URL or upload repository files to get an evidence-backed install decision, code citations, documentation mismatches, and targeted fixes. Also reviews coding-agent plugins. Static review; no code execution.
Analyze suspicious messages, links, job offers, shopping deals, investment pitches and payment requests. ScamShield uses a local, keyless script to surface warning signs, including suspicious requests, hidden characters and look-alike domains. Get evidence-based guidance and safer next steps in your language. It never opens links or claims that something is safe. A screening aid, not a guarantee.
Hands-on prompt engineering and LLM evaluation. Built around a diagnose-then-ship loop: forensic transcript critique ▎ that names the exact failure mode, paired with a fixer that produces complete, deployment-ready rewrites — not ▎ vague advice.
Chokepoint Intel AI maps the bottlenecks behind AI infrastructure and shows who really controls them. Give it a theme, a company, or a claim you saw online: it scores each bottleneck with a 6-factor rubric, tests claims against primary sources, flags red flags, and tags every fact as Verified, Reported, Claimed, Background, or Unknown. Works in English, Arabic, and French. Research and education only. No buy/sell advice, price targets, or predictions. AI-generated; verify before acting.
Audit the memory and instruction files your AI agent reads (AGENTS.md, CLAUDE.md, LEARNINGS.md, system prompts). A bundled offline Python script finds pasted secrets, injected instructions, hidden characters, risky commands, contradictions, duplicates, stale entries and broken file references, and writes cleaned copies. Download package: you bring your own AI agent and Python 3; no model is included.
Discover emerging AI apps worth trying. Get up to 10 curated picks with verified popularity signals, practical use cases, trial links, demo videos, and pricing information—all focused on tools that work without high-end GPUs or special hardware. Reports adapt to your preferred language.
Review AI agents, automation workflows, and project architectures for design gaps, risks, missing requirements, and improvement opportunities.