steer

steer is a Session review & learning skill for AI agents, published by jongwony in the epistemic-protocols repository on GitHub. Skillspace rates steer D (62/100) and it passed the safety scan; the rating is based on static analysis only.

Project profile recalibration via session calibration drift audit. Scan session calibration moves for Constitution overapplication, Extension misapplication, and existing profile drift, present per-cluster evidence for user-constituted verdict, then write an updated user-global or project-local project-profile rule file via Circular Return — and, when a direction has settled, inscribe a citable clause into the Settled Directions registry adjacent to the project Northstar. Use this skill whenever the user wants to 'recalibrate project profile', 'audit calibration drift', 'reinduce Cognitive Partnership Move defaults', 'steer project profile', or invokes /steer. Periagoge family — extends /induce with a writable rule inscription step for ProjectProfile and the Settled Directions registry.

Grade
D
Quality
62 / 100
Safety
Passed
GitHub stars
124

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubjongwony/epistemic-protocols

Our review

Architecture
96 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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