Verifies generated output through dual independent review agents with an iterative fix loop.
npx skills add https://github.com/Femad-6/my-skills --skill santa-method-femad-6
Please help me install this Agent Skill. Skill: santa-method Source: https://github.com/Femad-6/my-skills/tree/main/.github/skills/santa-method Command: npx skills add https://github.com/Femad-6/my-skills --skill santa-method-femad-6
High-intent search queries and answers about installing and using this skill.
Run two independent review agents against the output using an identical rubric with objective pass/fail criteria for factual accuracy and fabricated references. Both reviewers must pass; otherwise fix the flagged issues and re-review with fresh agents until convergence.
Two reviewer agents receive the same task spec, output, and rubric but share no context with each other. Each returns a structured JSON verdict with per-criterion results, and the output ships only when both return PASS.
Skip it for internal drafts, exploratory research, and tasks with deterministic verification such as builds, tests, and linting. The 2-3x token cost is only justified for output that ships to users or carries compliance risk.
Yes, use the batch sampling pattern: run full verification on a random 10-15% sample with a minimum of 5 items, classify failure patterns, apply targeted fixes to the whole batch, and re-sample until a clean sample passes.
This is the infinite loop failure mode, mitigated by a maximum iteration cap of three rounds. After the cap is exhausted, the output escalates to a human reviewer instead of continuing the fix cycle.
dengineproblemGenerate structured interview scorecards with competencies and STAR-based behavioral indicators.
ibytechaosVerifies generated output through dual independent review agents with a convergence loop.
uzumaki-incRun code health checks and compute a weighted 0-10 score.
ROYCE-8425Verify outputs through dual independent review agents and iterative refinement.
