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asc CLI for scripting the App Store Connect API: manage builds, TestFlight, metadata, signing and review submissions to automate iOS and macOS releases from the terminal or CI. Ships with a companion agent skill pack. Needs an App Store Connect API key.

Query, modify and convert JSON, YAML, TOML, XML, CSV, HCL, INI and more with one selector syntax, editing config files in place or converting between formats, handy for agents handling structured data in scripts. A single dependency-free binary that works much like jq or yq.

Query cloud resources and SaaS APIs live with SQL: plugins map AWS, Azure, GCP, GitHub, Kubernetes and other services to tables you can select from directly, no ETL needed. A single binary with Postgres built in.

Turns Peng Sida's public research-writing notes into a skill: revises abstracts, introductions, methods and experiments of ML/CV/NLP papers from a reviewer's view, checks that each claim has experimental evidence, and runs a pre-submission self-check. Pure methodology, no API key.

Trail of Bits skill that audits npm, PyPI and Go supply-chain risk: known advisories across direct deps and the whole lockfile tree, deprecated or archived upstreams, npm publisher concentration and install-time scripts. Needs uv; a logged-in gh is recommended.

Trail of Bits skill that audits GitHub Actions workflows wired to AI coding agents (Claude Code Action, Codex, Gemini CLI and others) for prompt injection, env-variable relays, dangerous sandbox settings, wildcard allowlists and other privilege risks.

Trail of Bits static analysis skills: CodeQL for interprocedural taint tracking and data-flow analysis, Semgrep for rule-based scanning, plus parsing and deduplicating SARIF results. Requires CodeQL or Semgrep installed locally.

Diffusion model inference in pure C/C++: one sd-cli command runs SD, FLUX, Qwen Image, Wan and more locally to create or edit images and short videos, with Metal acceleration on Mac. No cloud needed; bring your own model weights and use a release binary or build from source.

OpenAI's official set of 18 web data visualization skills: chart selection and critique, D3, Canvas, Three.js, maps, statistical uncertainty, live dashboards, Gantt charts, UML and scrollytelling. Ships with a Codex plugin; installed alone, the plugin-level references are missing.

OpenAI's official Codex plugin that starts from a brief, product shots or references to generate marketing concepts, mood boards, product scenes, ad directions and social assets, compared and iterated on a reviewable board. Works with Figma and Canva.

OpenAI's official Codex plugin with 18 skills to choose, design, build, test and export web charts, maps, dashboards, Gantt charts and UML, using D3, Vega-Lite and Three.js with attention to accessibility and responsiveness. Codex only.

OpenAI's official Codex plugin that guides sequencing analysis from BCL/FASTQ: QC, RNA-seq differential expression, single-cell, variant calling and metagenomics, favoring nf-core and other public pipelines with reproducible run logs. Checks for local tools first. Research use only.

Higgsfield's official Codex plugin: uses its remote MCP to generate images and video from text or photos, like product-shot video ads or animated stills, with built-in flows for faceless narration, voiceover and burned-in captions. Needs a Higgsfield account; billed in credits.

Creates, edits and validates reproducible Python and SQL Jupyter notebooks: organizes cells as reports or tutorials, checks conclusions against actual output and reruns top to bottom before handoff. Maintained by OpenAI in the Data Analytics plugin of openai/plugins.

ClickUp's official plugin in OpenAI's Codex marketplace: search your whole ClickUp workspace in natural language, find, create, update and manage tasks, and check whether a project or sprint is at risk of slipping. Codex only; needs a ClickUp account and authorization.

OpenAI's official life-science skills: 49 skills query public databases such as UniProt, ClinVar, gnomAD and AlphaFold through Python scripts, with a router skill that breaks down questions, normalizes entities and compiles sourced evidence. Written mainly for Codex.

OpenAI's official Codex plugin with about 50 skills that route questions to genetics, omics, pathway, protein structure, chemistry and clinical evidence sources, can split the work across parallel subagents, and synthesize sourced conclusions.

Build with OpenAI best practices inside Codex: call the OpenAI API, build and deploy agents with the Agents SDK, create ChatGPT apps and prepare submission materials, and create API keys directly. Maintained by OpenAI; Codex only.

monday.com's official plugin in OpenAI's Codex marketplace: search boards, create and update items, assign owners, set timelines and post updates, for campaign schedules, approvals, project tracking and client management. Codex only; needs a monday.com account.

OpenAI's official Codex plugin for answering product and business questions with data: metric anomaly diagnosis, KPI design, market sizing, dashboards and reports, notebooks and data quality checks. Connects to data warehouses and BI tools.

OpenAI's official Codex plugin that makes Google Drive the single entry point to search, organize, share and export files, handing Docs, Sheets, Slides and comments to dedicated sub-skills for summaries, edits and new files. Authorize your Google account in Codex.

OpenAI's official data analytics skills: data quality assessment, KPI design, metric anomaly diagnosis, dashboards and analysis reports, market sizing and notebooks. Ships with a Codex plugin; some skills depend on its runtime.

Manage Kubernetes clusters in natural language: translates intent into kubectl operations and runs them, and can serve as an MCP server for other agents. Uses Gemini by default (API key required) and also supports OpenAI and local models. Maintained by Google Cloud.

Open-source LLM evaluation platform: one opencompass command picks the model and datasets and runs the evaluation across hundreds of benchmarks. Works with local Hugging Face models and API models, with vLLM and LMDeploy for faster inference.