dev-calibrate

Playbook for correcting a named skill's star level to match its computed Trust Magnitude grade, with an independent post-calibration verification pass and a CLI-logged timeline event (never hand-writt

SKILL.md

GitHub

Overview

This playbook corrects a named skill's stored star level when it has drifted from its computed Trust Magnitude grade. The objective is not just to run gaia dev calibrate — it is to make the correction provable: a pre-flight snapshot, an explicit promote/demote/no-change/blocked decision against the G7 mapping, the CLI-driven mutation itself (which alone appends the timeline event — never hand-write it), and an independent re-inspection afterward that confirms the stored level actually changed, rather than trusting the calibrate command's own stdout.

Batch use

For a backlog of N skills, repeat snapshot-target through verify-landed once per skill_id. rebuild-docs and verify-docs-clean are expensive registry-wide rebuilds — run them once at the end of the batch, not after every individual skill. This is an efficiency note only; it does not change the per-skill spine or its proof obligations.

Reference

  • founder/steward/PLAYBOOKS.md — the playbook contract this file opts into.
  • python3 scripts/inspectTrustMagnitude.py --leaderboard — finds calibration candidates in bulk by ranking all named skills by Trust Magnitude.