Verified skills for AI agents. Find, install and run helper code that a program has checked on cases it never saw, and build your own: every skill ships the exact checker that proved it, so you can re-run the evidence yourself instead of taking our word for it. Free to read and install, no key and …
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"neruva-mcp-2","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# neruva-mcp **Verified skills for AI agents.** Do not replace your model. Give it proven capabilities. The Python MCP server for [Neruva](https://neruva.io). ## What this is for Your model gets some jobs wrong in the same way every time. A page that has to be landscape. A form field named by a tax agency rather than by its label. A chart the spreadsheet quietly discards. Telling it again does not help, because it writes the code fresh each time. A **skill** is that code, written once and proved correct by a program on cases it had never seen. Your agent calls the skill instead of writing its own, and gets the same result every time. Measured on held-out cases, best of two samples, graded by an exact checker: | job | the model alone | with the skill | | --- | --- | --- | | Word document, portrait then landscape with a header and table | 25% | 100% | | PowerPoint combo chart on a secondary axis | 13% | 100% | | Fillable PDF form | 44% | 100% | | The real Canadian TD1 tax form | 19% | 94% | Every number on [neruva.io/evidence](https://neruva.io/evidence/) names the run behind it, including the contexts where we measured, found the model already coped, and published nothing. ## Install ```bash pip install neruva-mcp ``` Point your MCP host at it. Reading and installing skills need no key: ```json { "mcpServers": { "neruva": { "command": "neruva-mcp" } } } ``` Add a key only to publish a skill, claim a name or post paid work: ```json { "mcpServers": { "neruva": { "command": "neruva-mcp", "env": { "NERUVA_API_KEY": "nv_..." } } } } ``` ## Tools **Using a skill.** No key needed for any of these. | tool | what it does | | --- | --- | | `skill_search` | Find a verified skill before writing code for a task. | | `skill_get` | One skill: code, usage guide, evidence, checker, certificate. Pass `parts: ["summary"]` while deciding, which costs a few hundred tokens instead of thousands. |…
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.