claude

toolscore

Correct tool calls are not enough: audit MCP servers (lint, scorecard, effect probes), turn agent traces into tool-call tests, check that an agent told the truth about what its tools did, and pin MCP servers against drift in CI.

6 on GitHubby Yotam Braunv1.11.0Apache-2.0updated 10 days agodevelopment
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Plugin toolscore from marketplace toolscore in yotambraun/Toolscore. Commands read from the repo's manifest — 5 days ago.

What it installs

Skills (4)

  • add-tool-call-tests

    Add deterministic tool-call regression tests for an LLM agent with Toolscore - capture what the agent really calls (an MCP session recording, a provider response, a framework run result or a trace file), write a contract of required, optional and forbidden calls, and add a pytest test that fails whe

  • audit-mcp-server

    Audit an MCP server with Toolscore - lint its tool definitions, run the A-F scorecard, run effect probes that check its tools really did what they reported, and explain each finding with a concrete fix. Use when someone wants to test, grade, review, harden or debug an MCP server (local stdio command

  • check-agent-honesty

    Check with Toolscore whether an AI agent told the truth about what its tools did - claimed success after a failed call, ended right after an error, kept a tool warning to itself, or used a code-execution tool to override a refusal (for example force-enabling a disabled button) - from a trace, a reco

  • pin-mcp-servers

    Pin the tool definitions of MCP servers with Toolscore (toolscore.lock.json with a hash of every tool, the server, protocol and instructions, and a read/write/delete/network/exec capability manifest) and verify the pin in CI, so a changed tool description, a new tool or a new delete or exec capabili

View source on GitHub yotambraun.github.io

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