kungfu

kungfu is a skill for Claude Code from TechNickAI/ai-coding-config. It costs 39 tokens per session (731 once invoked), scanned A, original, MIT.

A skill for finding, reviewing, installing, and validating add-ons for AI coding agents.

In plain words
What is it for?
It helps search curated collections or GitHub, check for duplicates, review scripts, validate skill files, and install or remove skills.
Why use it?
It reduces the work and risk involved in discovering compatible skills, checking their source, and avoiding incomplete or unsafe installations.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: reads .claude/ paths.

Part of the ai-coding-config plugin — 15 skills, 21 commands, 28 agents, 3 hooks shipped together

Good fit It helps search curated collections or GitHub, check for duplicates, review scripts, validate skill files, and install or remove skills.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/technickai/ai-coding-config/kungfu
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add TechNickAI/ai-coding-config --skill kungfu
Clone the repo
git clone --depth 1 https://github.com/TechNickAI/ai-coding-config

Made for: Claude Code.

Or install ai-coding-config, the plugin that ships this one along with the rest of its 15 skills, 21 commands, 28 agents, 3 hooks.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for kungfu

README.md
[![agentmods](https://agentmods.dev/badge/skills/technickai/ai-coding-config/kungfu/github.svg)](https://agentmods.dev/skills/technickai/ai-coding-config/kungfu)
Your own site
<a href="https://agentmods.dev/skills/technickai/ai-coding-config/kungfu"><img src="https://agentmods.dev/badge/skills/technickai/ai-coding-config/kungfu/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for kungfu

Your own site · 80×15
<a href="https://agentmods.dev/skills/technickai/ai-coding-config/kungfu"><img src="https://agentmods.dev/badge/skills/technickai/ai-coding-config/kungfu.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 731 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00039 $0.00731
Opus 5.5 $0.00016 $0.00292
Sonnet 5.5 $0.00008 $0.00146
Haiku 4.5 $0.00004 $0.00073

Measured 25d ago against content hash d9fbd448a60b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

kungfu scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 25d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/core/skills/kungfu/SKILL.md · 84 lines

What it actually says

Known curated collections (verify availability before citing):

  • skills.sh — Open ecosystem with install counts, security audits, and trending data
  • VoltAgent/awesome-agent-skills
  • composioHQ/awesome-claude-code-skills
  • sickn33/antigravity-awesome-skills

If curated lists are unavailable, search GitHub directly. Prioritize repos updated within 6 months with meaningful star counts.

Skip: No SKILL.md, abandoned (no commits in 1+ year AND unresponsive), <10 stars (unless from trusted source), duplicates already-installed skill.

Never auto-execute downloaded scripts.

Before installing:

  • Check for existing skill with same name
  • If conflict: ask user to overwrite, rename, or skip

After downloading:

  • Validate SKILL.md parses without YAML errors
  • Confirm required frontmatter (name, description, triggers) exists
  • Test with /skill <name> or a natural trigger phrase

If install fails: Remove any partially downloaded files and report the specific failure.

Fetch skill, run security review if scripts present, validate format, install to skills directory, verify it loads.

List installed skills from .claude/skills/, check source repos for updates, identify unused skills for removal.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 25d ago First seen · 84 lines · 39 tokens per session scan A d9fbd448a60b

Subscribe to this mod's changes

kungfu is a skill published in the GitHub repository TechNickAI/ai-coding-config (24 stars, last pushed 26d ago), licensed MIT. It adds 39 tokens to every session and 731 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-22.

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