codex

AI Scholar

Learn a subject deeply, curate an evidence-led OKF knowledge base, and design a human-approved Codex plugin.

0 on GitHubby xiuuu4499v0.1.0+codex.20260721090635MITupdated 2 months agoProductivity

Plugin ai-scholar in xiuuu4499/ai-plugin-marketplace. Commands read from the repo's manifest — 1 month ago.

This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.

What it installs

Skills (10)

  • architect

    Design a Codex plugin interface from a curated AI Scholar knowledge bundle. Use when the research job is curated and a user needs a traceable plan for skills, scripts, hooks, commands, apps, MCP, package structure, and acceptance tests.

  • doctor

    Diagnose AI Scholar local dependencies and research-job validation failures. Use when job initialization, state gates, OKF curation, advisory hooks, plugin validation, or local test instructions fail.

  • implement

    Scaffold and implement a Codex plugin from an explicitly approved AI Scholar design. Use only after the user has approved the design and the research job records approved state; reject attempts to implement an unapproved design.

  • knowledge

    Build and curate a cited OKF knowledge bundle from retained AI Scholar sources. Use after source triage, when importing a source, or when evidence must be transformed into durable, navigable concepts before plugin architecture.

  • maintain

    Refresh an existing AI Scholar research job when sources, facts, standards, or plugin requirements change. Use for source drift, new evidence, contradictory updates, or to assess whether a delivered plugin design needs revision.

  • plan-mode

    Create or update a Codex Plan-mode plan that is tied to an AI Scholar research job and routes each phase to the correct AI Scholar skill. Use when planning deep subject research, an AI Scholar plugin design, a human review gate, implementation, validation, or maintenance work.

  • review

    Present and record the mandatory human design review for an AI Scholar plugin job. Use when a plugin design is ready for approval, the user gives design feedback, or implementation must be gated on an explicit human decision.

  • sources

    Collect, deduplicate, prioritize, and audit sources for an AI Scholar research job. Use when a subject needs authoritative evidence, competing sources must be assessed, or a research job is in sourcing or triaged state.

  • study

    Start an evidence-led AI Scholar research job for a subject area that should become a high-quality Codex plugin. Use when a user asks to deeply learn a topic, research before designing a plugin, or establish a source-quality and approval workflow.

  • validate

    Validate AI Scholar research jobs and their resulting Codex plugins. Use before design approval, implementation handoff, local testing, or when a job has missing evidence, broken OKF curation, inconsistent state, or package-validation failures.

Hooks (1)

  • PostToolUse

    python3

View source on GitHub

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