# Coverage-Cat/consumer-agent-testing-tool > CATT is a surrogate testing tool that runs scripted or model-driven agents against MCP servers, MCP apps, websites and HTTP APIs, then checks what the service actually did and inspects the sealed evidence. It is aimed at developers who need to verify how an assistant uses their service. - Magnitude: 1.3 out of 10 — Quiet - Stars: 12 total · +0 stars measured 2026-10-23, 21:12–22:46 UTC - Star trust: star growth looks organic - Category: AI agents · Language: Python · License: MIT · Created: 2026-10-19 · Last push: 2026-10-22 - GitHub: https://github.com/Coverage-Cat/consumer-agent-testing-tool · Page: https://gitnova.dev/en/r/Coverage-Cat/consumer-agent-testing-tool ## Useful for - Run a scripted agent against an MCP server and check the recorded service outcome - Compare agent runs across builds with report, export and diff - Scaffold a scenario from a tool catalog or an existing agent run ## Why it’s here - Star-counter measurements on 2026-10-23 (UTC), 21:12–22:46: 12 → 12 stars (+0). This is the change over that interval. - The repository is 4 days old and already has 12 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Hacker News: “Show HN: CATT 0.2.1: Test agents/services against a Muse/Instinct-alike, in CI” — 8 points, 1 day ago. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 1 - Issues and pull requests: 20 - Watchers: 0 - Average over the last week: 2 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 0 - Latest release: v0.2.1 (2026-10-22) ## Stars per day, last 5 days (oldest → newest, today is partial) 2026-10-19 … 2026-10-23: 0, 4, 0, 5, 0 ## Hacker News - Show HN: CATT 0.2.1: Test agents/services against a Muse/Instinct-alike, in CI — 8 points, 2 comments: https://news.ycombinator.com/item?id=50201860 ## Spotted in now - Spotted on Hacker News ## More in this category 1. **NVIDIA/OpenShell** — 6.5 · Breakout · AI agents · Rust · +966 stars measured 2026-10-23, 00:37–22:38 UTC A safe, private runtime for autonomous AI agents: isolated sandbox containers governed by declarative YAML policies restricting filesystem, network, and process access. Manages credential injection for agents like Claude, Codex, OpenCode,… Full card: https://gitnova.dev/en/r/NVIDIA/OpenShell.md 2. **Graphify-Labs/graphify** — 6.4 · Breakout · AI agents · Python · +938 stars measured 2026-10-23, 00:37–22:38 UTC Turns any codebase, docs, SQL schemas, configs, and PDFs into a queryable knowledge graph. Works as a /graphify skill in Claude Code, Cursor, Codex, and Gemini CLI with local deterministic AST parsing. Full card: https://gitnova.dev/en/r/Graphify-Labs/graphify.md 3. **aicodeking/leanrea** — 5.9 · Peaking · AI agents · Python · +435 stars measured 2026-10-23, 00:37–22:38 UTC An 8 KB skill file for AI agents that replaces the REA MCP server: it tells the agent which CLI tools (asar, otool, nm, jadx, Ghidra, etc.) to use for reverse engineering and how to avoid common traps. Per the author's benchmark it is 38%… Full card: https://gitnova.dev/en/r/aicodeking/leanrea.md 4. **omnara-ai/omnara** — 5.6 · Breakout · AI agents · Go · +33 stars measured 2026-10-23, 00:37–22:38 UTC Omnara is an open-source, self-hostable platform for running managed AI agents on any model and any machine, with tools, secrets, permissions, and streaming built in. It serves as an alternative to Claude Managed Agents and OpenAI's… Full card: https://gitnova.dev/en/r/omnara-ai/omnara.md 5. **JoasASantos/REA-Prompts** — 5.6 · Cooling · AI agents · +235 stars measured 2026-10-23, 00:37–22:38 UTC A curated collection of prompts for using REA (Reverse Engineer Anything) with AI coding agents to inspect binaries, firmware, kernels, games, APKs, Electron apps and websites. Covers installation, feature tracing, cloning, vulnerability… Full card: https://gitnova.dev/en/r/JoasASantos/REA-Prompts.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-10-23 22:49 UTC, updated every 30 minutes.