# training_score

Score training pairs against rubrics for quality assessment. Example: training_score({ pair_id:

Agent View of the PolicyLayer registry record for `training_score`. HTML page: https://policylayer.com/tools/io-github-0nork-0nmcp/training-score

## Facts

- Tool: `training_score`
- Server: 0nmcp (`0nmcp`) — https://policylayer.com/tools/io-github-0nork-0nmcp.md
- Install: `npx -y 0nmcp`
- Homepage: https://github.com/0nork/0nMCP
- Risk category: Read (Low risk)
- Registry record: grade F, identity unverified
- Server auth posture: open
- Server rate-limited: no
- Parameters: 0
- Recommended policy verdict: Allowed

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "training_score",
    "arguments": {}
  }
}
```

## Why training_score is rated Low

This tool retrieves or evaluates training pair data and applies scoring logic, returning quality metrics. It does not modify, create, delete, or execute arbitrary code—it reads training pairs and produces an assessment output. The low severity reflects that misuse would only expose evaluation results, not cause system or data damage.

From the tool's own definition: "Tool description states it 'Score[s] training pairs against rubrics for quality assessment.' The verb 'score' and 'assessment' indicate evaluation and measurement of existing data, with no modification, creation, or deletion of training pairs themselves."

## Use case

AI agents call training_score to retrieve information from 0nmcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

## Recommended policy (PolicyLayer)

Verdict: **Allowed**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches 0nmcp:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "training_score": {}
  }
}
```

## Other tools on 0nmcp (217)

- `crm_marketplace_delete_charge` — Destructive — https://policylayer.com/tools/io-github-0nork-0nmcp/crm-marketplace-delete-charge.md
- `crm_marketplace_uninstall` — Destructive — https://policylayer.com/tools/io-github-0nork-0nmcp/crm-marketplace-uninstall.md
- `crm_media_bulk_delete` — Destructive — https://policylayer.com/tools/io-github-0nork-0nmcp/crm-media-bulk-delete.md
- `crm_media_delete` — Destructive — https://policylayer.com/tools/io-github-0nork-0nmcp/crm-media-delete.md
- `patent_watchlist` — Destructive — https://policylayer.com/tools/io-github-0nork-0nmcp/patent-watchlist.md
- `shadcn_theme` — Destructive — https://policylayer.com/tools/io-github-0nork-0nmcp/shadcn-theme.md
- `vault_container_revoke` — Destructive — https://policylayer.com/tools/io-github-0nork-0nmcp/vault-container-revoke.md
- `ai_chat` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/ai-chat.md
- `ai_embed` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/ai-embed.md
- `ai_generate` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/ai-generate.md
- `api_call` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/api-call.md
- `app_build` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/app-build.md
- `app_open` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/app-open.md
- `brain_compile` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/brain-compile.md
- `brain_import` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/brain-import.md
- `brain_train` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/brain-train.md
- `council_debate` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/council-debate.md
- `council_solve` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/council-solve.md
- `crm_build_ai_workflow` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/crm-build-ai-workflow.md
- `crm_deploy_snapshot` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/crm-deploy-snapshot.md
- `crm_run_ai_workflow` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/crm-run-ai-workflow.md
- `execute` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/execute.md
- `flow_run_now` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/flow-run-now.md
- `landing_pages_deploy` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/landing-pages-deploy.md
- `plugin_build` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/plugin-build.md
- `plugin_execute` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/plugin-execute.md
- `rc_sequence_to_user_workflow` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/rc-sequence-to-user-workflow.md
- `run_workflow` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/run-workflow.md
- `site_run` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/site-run.md
- `training_feed` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/training-feed.md
- …and 187 more: https://policylayer.com/tools/io-github-0nork-0nmcp.md

## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=io-github-0nork-0nmcp · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/io-github-0nork-0nmcp