# OpenAI Codex Plugins

OpenAI Plugins

Repository: https://github.com/openai/plugins
Canonical: https://ross.abutalabs.com/products/openai-codex-plugins
Language: JavaScript
License Family: other
Last push: 2026-08-26T20:49:30+00:00

## Health v2 (maintenance only)
Score: 59/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 35, longevity 13
- inputs: {"age_days": 182, "days_push": 7, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5230, forks 740 (observed 2026-08-28T04:09:13.293087+00:00)

## What it is
A catalog of Agent Skills—folders of instructions, scripts, and resources—for OpenAI's Codex CLI agent, distributed via the openai/skills and openai/plugins repositories. Skills are installed with the built-in $skill-installer and extend Codex with repeatable task-specific capabilities.

## Use cases
- install prebuilt skills into codex cli
- create custom agent skills for codex
- package reusable task instructions for ai agents
- browse curated and experimental codex skills
- build codex plugins with skill-only capabilities

## When to choose
- you use OpenAI Codex and want to extend it with ready-made or custom skills
- you want to package team workflows as reusable agent capabilities
- you want to follow the Agent Skills open standard

## When to avoid
- you use a different coding agent without Codex skill support
- you need a general-purpose agent framework rather than a skill catalog
- you need guaranteed licensing clarity, as the repo itself has no top-level license

## Facets
- artifact type: plugin
- maturity: active
- function: agent-framework, prompt-engineering, developer-tools, plugin-system
- domain: developer-tools, large-language-models
- platform: cli, cross-platform, python
- tags: codex, openai, agent-skills, skill-catalog, plugins, ai-agents, automation

## Member repositories
- openai/plugins (main) score 59
- openai/skills (mirror) score 58

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:13.293087+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:56:05.175468+00:00, confidence not recorded.
  - readme: https://github.com/openai/plugins (fetched 2026-08-28T04:09:13.293087+00:00, sha 0f6a07580f3c)
- Data as of 2026-08-30T08:39:29.467469+00:00.