LLM Mart Basic

Run a focused security pass on GitHub Actions workflows before merge so token misuse, dangerous permissions, and unpinned actions are caught early.

This ASE skill uses zizmor to audit GitHub Actions workflows and composite actions for security mistakes before they ship. An agent can scan local repos or remote GitHub repositories, flag risky permission scopes and unsafe workflow patterns, and return plain output, GitHub-nativ

Produce a license inventory for Go module dependencies before release, procurement review, or open-source due diligence.

Uses Lynis to run an on-host security audit and turn the findings into a prioritized hardening checklist for an agent or operator. Invoke it when a machine is about to become internet-facing, after base image changes, or whenever you need a quick read on hardening drift instead o

This skill uses OpenClaw's healthcheck workflow to inspect the host running the assistant, surface risky exposure, and turn the findings into a staged hardening plan. It is for operator-style audits with explicit approval gates, not a generic software listing or a replacement for

Use Deptry when an agent needs to verify that a Python project's declared dependencies still match the imports the code actually uses. The agent scans the codebase, flags unused direct dependencies, missing declarations, and transitive imports that only work by accident, then tur

Scan Python requirements and environments for known vulnerable or malicious packages before they move further through delivery or promotion workflows.

Check Python environments and requirements files for published vulnerabilities before shipping, upgrading, or approving dependency changes.

Inspect an SSH endpoint or config for outdated ciphers, key exchange choices, and hardening gaps before exposure or upgrades.

Use GEO SEO Claude when Claude Code should run repeatable AI-search and SEO audits with citability, crawler, schema, platform, and report workflows.

Use Agent QA's CLI and MCP server to author, validate, run, debug, and triage natural-language web and mobile regression tests with persistent test memory and reviewable run evidence.

Use smartcrop when an agent needs to choose a sensible crop automatically instead of center-cropping every image. The workflow scores visual saliency, returns crop coordinates for a target aspect ratio, and hands those coordinates to an image pipeline that renders the final thumb

Auto-Editor is a command-line application that automatically edits video and audio by analyzing loudness, motion, and other signals to cut dead space. It exports to Premiere Pro, DaVinci Resolve, Final Cut Pro, ShotCut, and Kdenlive timelines.

Use Odigos to add OpenTelemetry tracing to Kubernetes or VM workloads without code changes, then route the traces to the observability backend an operator already uses.

Lint Nix expressions and automatically rewrite common anti-patterns before review or refactor work.

AutoGen is Microsoft's open-source framework for building multi-agent systems where AI agents converse with each other and humans to solve tasks, with support for tool use and human-in-the-loop workflows.

Lets agents operate Google NotebookLM/Gemini Notebook through a Python API, CLI, skill, MCP server, or REST server to create notebooks, add sources, ask cited questions, generate artifacts, and download exports.

Operate Lark and Feishu work objects from one agent-ready CLI instead of stitching together separate APIs and browser flows.

Use ARIS to run Markdown-based agent skills for literature review, idea discovery, cross-model critique, experiment planning, and paper-writing support.

Use NotebookLM through MCP or a local REST API to run cited Q&A, generate Studio artifacts, and manage high-volume research batches.

Discovery worked. Ping worked. Every TCP connection timed out, and later the tunnel only worked when someone had a terminal open.

Every VM came back. The cluster did not. Declarative systems converge on config, and the datapath isn't config.

A surprising share of AI-in-the-terminal failures aren't the AI. They're zsh, and a version of bash from 2006.

A Claude Code plugin turns standalone project configuration into a namespaced, installable extension that teams and communities can update as one unit.

None of the safety came from the model. It came from six boring habits.

Skills package instructions and references. Subagents run work in a separate context and return results. They solve different problems and can be composed deliberately.

Six hours in, one step left, everything green, and the incident that didn't happen

CLAUDE.md carries persistent project context. Skills load reusable procedures when relevant. Separating stable facts from task-specific workflows keeps both easier to maintain.

Twenty minutes recovering secrets that never existed, and the one sentence from a human that ended it

An API request routing a model's tool call through an approval gate to a remote MCP server

31 config keys, two audits, and why the first one was wrong in both directions

The official MCP Registry stores standardized server metadata rather than package code. Publishers verify a namespace, describe installation or remote access, and submit immutable versions.

Everyone looks at the Dockerfile. The file that actually leaked the key was the project file.

Remote MCP authorization uses established OAuth standards, but secure integration still requires issuer validation, least-privilege scopes, protected token handling, and server-side enforcement.

"Copy it over and switch the reference" is two steps, and the outage lives in the one nobody checks

stdio fits local processes and prototypes. Streamable HTTP fits hosted services and shared integrations. The right choice follows where the capability runs and who must reach it.

The most important rule wasn't about what I could change. It was about what I was allowed to display.

Tools perform operations, resources expose readable context, and prompts provide reusable templates. Choosing the correct primitive makes an MCP server easier to understand and govern.

Use MCP Inspector to connect to local or remote servers, inspect capabilities, call tools, read resources, test prompts, and diagnose failures before release.

Build an MCP server in TypeScript with focused tools, validated schemas, local and remote transports, Inspector tests, and production security controls.

Plan and organize sprint workflows

Generate daily standup reports

Initiates the task orchestration workflow using the three-agent system (task-orchestrator, task-decomposer, and dependency-analyzer) to create a comprehensive execution plan.

Check the current status of tasks in the orchestration system with various filtering and reporting options.

Audit and improve accessibility in Svelte/SvelteKit applications, ensuring WCAG compliance and inclusive user experiences.

Create new Svelte components with best practices, proper structure, and optional TypeScript support.

Help debug Svelte and SvelteKit issues by analyzing error messages, stack traces, and common problems.

Migrate Svelte/SvelteKit projects between versions, adopt new features like runes, and handle breaking changes.

Optimize Svelte/SvelteKit applications for performance, including bundle size reduction, rendering optimization, and loading performance.

Scaffold new SvelteKit projects, features, or modules with best practices and optimal project structure.

Migrate Storybook configurations and stories to newer versions, including Svelte CSF v5 and @storybook/sveltekit framework.

Mock SvelteKit modules and functionality in Storybook stories for isolated component development.

Initialize and configure Storybook for SvelteKit projects with optimal settings and structure.

Create comprehensive Storybook stories for Svelte components using modern patterns and best practices.

Diagnose and fix common Storybook issues in SvelteKit projects, including build errors, module problems, and configuration issues.

General-purpose Storybook assistance for SvelteKit projects, including setup guidance, best practices, and common tasks.

Analyze test coverage, identify testing gaps, and provide recommendations for improving test coverage in Svelte/SvelteKit projects.

Troubleshoot and fix failing tests in Svelte/SvelteKit projects, including debugging test issues and resolving common testing problems.

Set up comprehensive testing infrastructure for Svelte/SvelteKit projects, including unit testing, component testing, and E2E testing frameworks.

Create comprehensive tests for Svelte components and SvelteKit routes, including unit tests, component tests, and E2E tests.

Make any song you can imagine

Leading AI-powered video generation platform that specializes in creating hyper-realistic talking avatars

Hermes Agent is an open-source, self-improving autonomous AI agent developed by Nous Research

Kilo Code is a popular, open-source AI coding agent and "agentic engineering" platform designed to help developers build, refactor, and debug software faster

General-purpose agent in one static Go binary. ReAct loop, ACP server for IDEs, OpenAI-compatible REST API with embedded web UI, Telegram gateway, cron schedule…

Autonomous agent framework with structured memory, safety hooks, and loop management. Built by the agent that runs on it.

TSP自托管、零运维的 A 股「选股 + 监控 + 回测」量化工作台 | 基于 TickFlow 数据源 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方数据源与个性化扩展数据 | 个人开源 ,非TickFlow官方项目

Curated, verified Agent Skills powered by ModelStudio.

Run Claude Code, Codex, Antigravity, Cursor Agent and OpenCode as one runtime — persistent sessions, multi-agent councils, an OpenAI-compatible endpoint, an MCP…

pi had nothing (nothing), so I made something (something) — sorry mariozechner-senpai, I went ahead and lovingly soiled your pure pi for you. opinionated fork o…

A persistent workspace for development work that self-improves and continues beyond one session.

Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.

📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | http…

Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.

Deterministic spec-orchestration for local LLMs in the pi coding agent — drives prompts through refine→research→grill→compose→critique, with bundled web/docs/fe…

Native Safari browser automation for AI agents. 97 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chro…

Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.

Git for agent memory. Branches, diffs, PRs, and rollback for what your agents know.

Multi-Provider AI Gateway - No personal logs by design. Model autodiscovery, Failover groups, High availability, Android companion app, and more - "Because we h…

Production-grade MCP server for MikroTik RouterOS with secure AI-native network automation.