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How to test whether a math tool rejects a convincing wrong answer with Resimind

Run the nine-call integration probe to see reject, repair, learn, and recall before adopting it.

Who it is forAn engineer evaluating verification tools for an agent who needs proof the tool catches wrong answers before wiring it into production.

The problemChoosing a verifier from its README alone does not show whether it actually rejects a plausible but wrong result.

The outcomeA pass or fail record for reject, repair, learn, and recall, plus a check that an unsupported-scope control is handled.

What you need first

  • Python 3.10+ for the core; Python 3.11+ for the optional MCP tools
  • git and a shell (Bash, Zsh, or Windows PowerShell)
  • No API key needed for the offline demos
  • Optional: an installed Lean 4.29.0 toolchain for the Lean example

Steps

  1. git clone https://github.com/1105216375-alt/resimind.git
  2. cd resimind
  3. Open docs/algebra-repair-cases.md#before-you-integrate-make-it-reject-a-convincing-wrong-answer and follow the nine-call probe steps.
  4. Note the machine-readable cases in examples/agent_probe_cases.json and compare your results to them.
  5. Record which calls reject the wrong answer, which repair it, which learn the rule, and which recall it.

Prompt for your agent

Using the ResiMind repo at <repo path>, run the nine-call integration probe from docs/algebra-repair-cases.md against my agent. Expected output: a table of reject, repair, learn, recall, and unsupported-scope results. Verify that the wrong-answer call is rejected before any repair is accepted.

Caveat. The probe needs no model key, but it only tests the algebra scope, so it does not show performance on other domains.

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