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.
npx skills add codelably/harmony-claude-code --skill project-guidelines-examplegit clone --depth 1 https://github.com/codelably/harmony-claude-codeWrote 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.
[](https://agentmods.dev/skills/codelably/harmony-claude-code/project-guidelines-example)<a href="https://agentmods.dev/skills/codelably/harmony-claude-code/project-guidelines-example"><img src="https://agentmods.dev/badge/skills/codelably/harmony-claude-code/project-guidelines-example/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.
<a href="https://agentmods.dev/skills/codelably/harmony-claude-code/project-guidelines-example"><img src="https://agentmods.dev/badge/skills/codelably/harmony-claude-code/project-guidelines-example.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.02402 |
| Opus 5.5 | $0.00000 | $0.00961 |
| Sonnet 5.5 | $0.00000 | $0.00480 |
| Haiku 4.5 | $0.00000 | $0.00240 |
Grade A, and why
project-guidelines-example 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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- project-guidelines-example — 89% identical, 203 lines differ
How it starts
The opening of the file, as written. The whole thing — 346 lines — stays where its author put it; the contents beside it link to each section on GitHub.
專案指南技能（範例）
這是專案特定技能的範例。使用此作為你自己專案的範本。
基於真實生產應用程式：Zenith - AI 驅動的客戶探索平台。
何時使用
在處理專案特定設計時參考此技能。專案技能包含：
- 架構概覽
- 檔案結構
- 程式碼模式
- 測試要求
- 部署工作流程
架構概覽
技術堆疊：
- 前端：Next.js 15（App Router）、TypeScript、React
- 後端：FastAPI（Python）、Pydantic 模型
- 資料庫：Supabase（PostgreSQL）
- AI：Claude API 帶工具呼叫和結構化輸出
- 部署：Google Cloud Run
- 測試：Playwright（E2E）、pytest（後端）、React Testing Library
服務：
┌─────────────────────────────────────────────────────────────┐
│ 前端 │
│ Next.js 15 + TypeScript + TailwindCSS │
│ 部署：Vercel / Cloud Run │
└─────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────┐
│ 後端 │
│ FastAPI + Python 3.11 + Pydantic │
│ 部署：Cloud Run │
└─────────────────────────────────────────────────────────────┘
│
┌───────────────┼───────────────┐
▼ ▼ ▼
┌──────────┐ ┌──────────┐ ┌──────────┐
│ Supabase │ │ Claude │ │ Redis │
│ Database │ │ API │ │ Cache │
└──────────┘ └──────────┘ └──────────┘
檔案結構
project/
├── frontend/
│ └── src/
│ ├── app/ # Next.js app router 頁面
│ │ ├── api/ # API 路由
│ │ ├── (auth)/ # 需認證路由
│ │ └── workspace/ # 主應用程式工作區
│ ├── components/ # React 元件
│ │ ├── ui/ # 基礎 UI 元件
│ │ ├── forms/ # 表單元件
│ │ └── layouts/ # 版面配置元件
│ ├── hooks/ # 自訂 React hooks
│ ├── lib/ # 工具
│ ├── types/ # TypeScript 定義
│ └── config/ # 設定
│
├── backend/
│ ├── routers/ # FastAPI 路由處理器
│ ├── models.py # Pydantic 模型
│ ├── main.py # FastAPI app 進入點
│ ├── auth_system.py # 認證
│ ├── database.py # 資料庫操作
│ ├── services/ # 業務邏輯
│ └── tests/ # pytest 測試
│
├── deploy/ # 部署設定
├── docs/ # 文件
└── scripts/ # 工具腳本
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.
- 1mo ago First seen · 346 lines · 0 tokens per session scan A 03fb6737ec9b
project-guidelines-example is a skill published in the GitHub repository codelably/harmony-claude-code (43 stars, last pushed 7mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,402 tokens. 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 2026-08-30.
Other skills, from other repositories
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
component-fixtures
Use when creating or updating component fixtures for screenshot testing or their shared infrastructure, or when designing UI components to be fixture-friendly. Covers fixture file structure, theming, service setup, CSS scoping, async rendering, validation, and common pitfalls.