SuperAPI AI Directory

instruction-rubric

Agents & models

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Updated 10-23 23:06

About this skill

Objective

Evaluate one queued operation or stage event against the applicable entries in .cocoplus/lifecycle/rubric.json. The rubric is compiled from .cocoplus/lifecycle/cocopod-instructions.md when absent or stale.

Required Contract

  1. Judge each applicable rule independently and return a probability from 0 through 1, a boolean violation, and a concise evidence-based reason.
  2. At probability 0.8 or higher, write a pending repair directive naming the rule and source line. The next tool call is blocked until it carries the matching rubric_repair_id.
  3. At probability 0.5 through less than 0.8, append an operator note without interrupting the session.
  4. Below 0.5, remain silent. On timeout, unavailable evaluation, or missing rubric data, fail open and append the miss to lifecycle/audit.md.
  5. Never mutate cocopod-instructions.md while evaluating it.

Exit Criteria

  • Every returned score maps to a rubric rule id.
  • Confidence bands produce repair, note, or silent outcomes exactly at the documented thresholds.
  • Evaluation failures are audit-visible and non-blocking.

Anti-Rationalization

Shortcut / Temptation Why It Fails
Return one score for the whole instruction file Enforcement and calibration operate per rule.
Treat uncertainty as a violation The medium and silent bands exist to preserve calibrated behavior.