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Codex How To v0.3.0 — Living Wiki

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@Phelan164 Phelan164 released this 31 Jul 07:06
v0.3.0
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Learn about vigilant mode.

Codex How To v0.3.0

Codex How To now includes a review-first Living Wiki and a model-adaptive
engineering skill system.

Highlights

  • Living Codex Wiki: compile repeated research into small, interlinked
    Markdown evidence pages instead of reconstructing the same context for every
    question.
  • Review-first maintenance: register source authority, preserve conflicts
    and uncertainty, lint deterministic structure, and promote stable knowledge
    through reviewed changes.
  • Four wiki operations: query, ingest, lint, and explicitly promote
    verified conclusions into modules, skills, repository rules, or checks.
  • Model-adaptive skills: keep nine installable workflows focused on
    decisions, evidence contracts, and failure boundaries that a stronger model
    should not guess.
  • Three-way measurement: compare no-skill, v0.2 full-skill, and current
    lean-skill runs while holding the model, reasoning effort, repository
    revision, tools, prompt, and done conditions constant.
  • Clearer presentation: a readable engineering-loop diagram, refreshed
    social preview, and tracked community-distribution experiments.

Try the Living Wiki

Ask a read-only question before adding infrastructure:

$maintain-codex-wiki What does this repository know about orchestration
efficiency? Cite wiki pages, separate evidence from recommendation, and do not
modify files.

Run its deterministic health check:

python3 skills/maintain-codex-wiki/scripts/wiki_lint.py .

The initial implementation deliberately uses Markdown, repository search, and
Git review. It does not add a database, vector index, MCP server, or autonomous
merge path without evidence that those layers are needed.

Verification

The release gate covers:

  • repository structure and local-link validation;
  • all 14 measurement and wiki utility tests;
  • both dependency-free engineering playground tests;
  • six seeded wiki pages and their registered sources;
  • wiki metadata, index coverage, and local links; and
  • Python compilation for the bundled scripts.

Feedback wanted

Useful contributions include:

  • a source that contradicts an existing wiki conclusion;
  • a query the index routes poorly;
  • an anonymized no-skill/full-skill/lean-skill measurement;
  • a workflow step that adds cost without improving quality; or
  • a maintained stack, team, or translation fork.

Codex How To is an independent community project. Official OpenAI
documentation remains authoritative for current product behavior.

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