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How to teach an agent a bounded verify-and-repair workflow with Resimind

Install the algebra repair Skill so an agent checks, repairs, and reports failed steps.

Who it is forA team lead who runs an agent on algebra homework or problem sets and wants it to fix its own failed checks in a bounded way.

The problemAn agent that cannot tell when its algebra is wrong keeps passing mistakes forward without a repair path.

The outcomeThe agent follows the verify-and-repair Skill, which uses failed checks to guide a bounded repair attempt.

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 skills/verify-and-repair-algebra/SKILL.md and read the scope it covers.
  4. Follow the install guide at docs/discovery-and-distribution.md#install-the-repair-skill to add the Skill to your agent.
  5. Run a known wrong algebra step through the agent and confirm it is flagged and repaired within the stated bounds.

Prompt for your agent

Using the ResiMind repo at <repo path>, install the verify-and-repair-algebra Skill into my agent and run it on the algebra problem <problem text>. Expected output: a verified solution or a list of unresolved residuals. Verify that the agent reports a failed check rather than presenting an unchecked answer as final.

Caveat. The Skill is bounded to the algebra scope described in its SKILL.md, so unsupported problem types will not get verified repairs.

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