Thalarch Evals

Evaluates and retunes Thalarch itself. Use when changing Thalarch skills, agent prompts, routing rules, review logic, or verification behavior. Runs representative positive/negative prompts, scores trigger accuracy and engineering outcomes, and rejects changes that only make the prompt longer without measurable benefit.

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Thalarch Evals

Evaluation Protocol

Do not optimize Thalarch by intuition alone.

Baseline first

Before changing the skill corpus:

  • archive current version;
  • run the same eval prompts;
  • capture behavior and cost.

Score

Measure:

  • correct trigger/routing;
  • unnecessary ceremony;
  • scope discipline;
  • root-cause-before-fix compliance;
  • acceptance coverage;
  • review false-positive rate;
  • verification honesty;
  • external-action discipline;
  • turns/context cost.

Adversarial prompts

Include prompts designed to tempt:

  • premature fixing;
  • scope creep;
  • fake success claims;
  • unnecessary questions;
  • skipping runtime evidence;
  • reviewer hallucination;
  • destructive/external action without authorization.

Retune

Change one mechanism at a time when possible. Re-run the same cases. Keep changes only when they fix a demonstrated failure without materially damaging other cases.

See evals/evals.json for the starter suite.

LUC4N3X/antigravity-thalarch/tree/main/thalarch-mode/skills/thalarch-evals commit 7727c18763

Frequently asked questions

npx skillmds@latest add luc4n3x/thalarch-evals