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Verify text, code, and measurements against named authoritative references.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.savecharlie/touchstone" MCP server from askskill: Run: claude mcp add 'io-github-savecharlie-touchstone' -- npx -y touchstone-compute
Use touchstone to run this Python code verifiably and compare the results item by item with the named reference implementation, then report differences and a conclusion: <paste code>.
A reproducible execution result, a comparison against the reference implementation, and a final consistency verdict.
Use touchstone to verify the following text claims against the named authoritative source, marking what is confirmed, questionable, or inconsistent, with supporting evidence: <paste text>.
A categorized verification report, source-based evidence, and suggested corrections.
With touchstone, reproduce this measurement workflow according to the named authority standard, check whether my data and calculations comply, and provide a deviation analysis: <paste data and method>.
Standard-reproduced measurement results, analysis of deviation sources, and a compliance assessment.
Create Bitcoin-anchored audit trails for AI agent actions and verification.
Perform precise text operations for AI agents, including diffs, patches, and regex tests.
Assess content provenance and quality with five lightweight MCP tools.
Verify, score, route, compare, and delegate AI agent decisions.
Create tamper-evident audit trails and observability records for AI agents.
Generate tamper-proof, offline-verifiable signed audit receipts for AI agents.