Skills, prompts, AGENTS.md files and MCP servers that Codex reads. Skills are shared with Claude Code; the rest is Codex-native. 281,776 indexed, measured the same four ways as everything else here.
A set of development rules for building WorkDSH workbench plug-ins with the official Creator tools and WorkDSH's business software kit. It explains how to handle plug-in context, permissions, data, files, and user approval without replacing the host's built-in features.
Operate Codex as a high-autonomy repository executor for implementation, debugging, and long-running research loops. Use when work requires strict git discipline (init, pull, commit, optional push), repeated continuation until the objective is fully complete, and strong runtime validation such as smoke runs (at least…
Financial trading CLIs — spot and perp trading on Hyperliquid, Binance, Coinbase, OKX. Prediction markets on Polymarket. Deposit and withdraw across chains. LLM-enriched price quotes with trend analysis. News and SEC filings. Historical backtesting with forward PnL analysis. Use when: user asks about stock/crypto…
Performs discounted cash flow (DCF) valuation analysis to estimate intrinsic value per share for Japanese listed companies. Triggers when user asks for fair value, intrinsic value, DCF, valuation, "what is X worth", price target, undervalued/overvalued analysis, or wants to compare current price to fundamental value.
Apply Edward Tufte's principles to any data visualization, chart, dashboard, or infographic. Use when the user asks to produce, design, critique, or improve a chart, graph, dashboard, KPI tile, table-with-data, sparkline, small multiple, time series, distribution plot, choropleth, or any other visual that communicates…
Use when a researcher is choosing, framing, refining, or stress-testing a research question, hypothesis, thesis topic, project idea, grant direction, paper angle, or stalled research direction.
Use when implementing, reviewing, planning, or changing work governed by a Product Spec. Treat .product-spec.md files as the product contract for the work.
Use for Nim symbol navigation, diagnostics, and type resolution. MANDATORY: Use specialized MCP tools (nimFindSymbols, nimFindReferences, nimListSymbols, nimCheckFile, nimCheckProject, nimFindTypeDefinition) first; fall back to grep only on error or user confirmation.
Process documents with Blockify API to create optimized IdeaBlocks for RAG. Search external ChromaDB knowledge bases with 100k+ blocks. Use when processing documentation, creating knowledge bases, improving AI context retrieval, or when user mentions Blockify, IdeaBlocks, or knowledge distillation.
Use this skill for Memory Palace durable-memory work in this repository: saving facts for later, recalling cross-session memory, deciding create vs update, handling guardaction or guardtargeturi, or using readmemory("system://boot"), searchmemory, compactcontext, rebuildindex, or indexstatus. Also use it when the user…
MCP Server for interacting with Elasticsearch and OpenSearch. Runs locally from the elasticsearch-mcp-server Python package. Needs 5 environment variables to run.
A bridge for downloading Feishu/Lark documents or ordinary webpages into local files, with options such as Markdown, HTML, or PDF. Feishu, also called Lark, is a workplace collaboration platform.
Fetch and extract full article content from URLs. Returns complete text with structure (headings, links, lists) instead of summaries. Multiple extraction strategies, browser impersonation, cookies, crawling, custom selectors, 200-700ms.
Ultimate Bug Scanner - Pre-commit static analysis for AI coding workflows. 14 languages, including bounded PHP request-flow and PostgreSQL migration analysis, with language-specific detection categories and native or ast-grep analysis. The AI agent's quality gate.
Tells an agent what changed on a server since it last looked - plus status, Docker, backups, Proxmox. Every tool is classed read, write or destructive, so an agent can tell a look from a change before it makes the call.
The pre-deployment gate for managed AI platforms (Azure AI Foundry, Google Vertex AI, AWS Bedrock), evals packed, budget set, guardrails on, owner named. Use before any cloud deployment.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: