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Tony Claude Code Skills

mcp-shengdabai-tony-claude-code-skills · by shengdabai

320+ curated Claude Code skills, 9 agents, 39 commands, sanitized configs & a Codex bridge — auto-indexed from skills/.

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Install

$ agentstack add mcp-shengdabai-tony-claude-code-skills

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets Used
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Tony-Claude-Code-Skills

320+ curated Claude Code skills, 9 agents, 39 commands, sanitized configs & a Codex bridge — auto-indexed from skills/.

Business Context

  • Category: AI workflow infrastructure
  • Audience: AI builders, creators, independent developers, and small teams that want repeatable local AI workflows.
  • Repository status: Public repository. Keep examples, docs, and issues free of credentials, private data, and machine-specific paths.
  • Topics: agents, ai, anthropic, claude-code, codex, developer-tools, llm, mcp, prompt-engineering, skills

What This Project Is For

  • 320+ curated Claude Code skills, 9 agents, 39 commands, sanitized configs & a Codex bridge — auto-indexed from skills/.
  • Package repeatable AI workflows into reusable local assets.
  • Reduce one-off prompt work with versioned skills, guardrails, and handoff files.

Where It Fits

This repository is part of a broader AI local-workbench operating model: reusable skills, local automation, auditable configuration, and repeatable delivery workflows.

Technical Overview

  • Primary language: HTML
  • Detected stack: HTML, Node.js, Python project metadata, Python dependencies, Docker, Docker Compose
  • Default branch: main
  • Visibility: PUBLIC
  • License: MIT License

> License scope: The top-level MIT LICENSE applies to my-config/, > install.sh, and original tooling in this repo. Several vendored directories > retain their own licenses — including top-level opc-methodology/ > (CC-BY-NC-SA 4.0) and various directories under skills/ (e.g. skills/gstack/ > ships its own LICENSE). See NOTICE.md for the full attribution list and always > defer to a subdirectory's own LICENSE where one exists.

Repository Map

  • Dockerfile
  • LICENSE
  • NOTICE.md
  • README.md
  • SECURITY.md
  • config
  • install.sh
  • mcp-servers
  • my-config
  • opc-methodology
  • skills
  • tools

Quick Start

This repository is a collection of Claude Code skills, agents, commands, and a sanitized ~/.claude/ config mirror. It installs into your local ~/.claude/ directory via install.sh — there is no npm build step for the repo itself.

# Clone, then run the installer:
bash install.sh --link    # symlink to repo — assets auto-update on `git pull` (recommended)
bash install.sh --copy    # copy independent files — no link back to the repo
bash install.sh --dry-run # preview what would change without writing anything
bash install.sh --help    # show usage

| Command | Purpose | |---|---| | bash install.sh --link | Symlink assets (skills, agents, commands, rules, hooks, scripts, output-styles) into ~/.claude/; git pull keeps them current. Existing non-symlink dirs are skipped. | | bash install.sh --copy | Copy assets into ~/.claude/ as independent files (no auto-update). | | bash install.sh --dry-run | Show the planned changes without modifying anything. |

> Individual skills under skills/ may carry their own dependencies (Node.js, > Python, Bun, Docker). Those are per-skill and documented inside each skill's > own directory — they are not required to install this repository.

Operating Notes

  • Keep real credentials out of the repository. Use local environment files, GitHub repository secrets, or the deployment platform secret manager.
  • If a .env.example file exists, treat it as documentation only; never commit filled-in .env files.
  • Before publishing screenshots, demos, or client examples, remove private names, internal paths, account IDs, and API endpoints.
  • The Repository Hygiene workflow is a lightweight guardrail, not a replacement for product-specific tests.

Delivery Checklist

  • [ ] README describes the user, business outcome, and operating boundary.
  • [ ] Setup or preview commands are current and do not rely on private machine state.
  • [ ] No real secrets, private user data, or machine-local state are tracked.
  • [ ] Screenshots, demos, or sample outputs are safe to share publicly when the repository is public.
  • [ ] Product-specific tests or smoke checks are documented before production use.

Roadmap

  • Tighten the fastest path from clone to useful demo.
  • Add project-specific screenshots, sample outputs, or a short walkthrough where useful.
  • Promote repeated manual steps into scripts, tests, or documented workflows.
  • Keep security, privacy, and licensing boundaries explicit as the project evolves.

Maintainer Notes

Maintained by Tony Sheng. This README is written as a business-facing handoff: it should help a future collaborator, client, or reviewer understand why the repository exists, how to inspect it, and what must be true before it is reused or shipped.

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.