Borrowing it
Nothing to install: this file belongs to JAICHANGPARK/workshop-harness. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/JAICHANGPARK/workshop-harness/main/CLAUDE.mdgit clone --depth 1 https://github.com/JAICHANGPARK/workshop-harnessWrote 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/instructions/jaichangpark/workshop-harness/claude-md)<a href="https://agentmods.dev/instructions/jaichangpark/workshop-harness/claude-md"><img src="https://agentmods.dev/badge/instructions/jaichangpark/workshop-harness/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80ร15 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/instructions/jaichangpark/workshop-harness/claude-md"><img src="https://agentmods.dev/badge/instructions/jaichangpark/workshop-harness/claude-md.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 | $0.02536 | $0.02536 |
| Opus 5.5 | $0.01014 | $0.01014 |
| Sonnet 5.5 | $0.00507 | $0.00507 |
| Haiku 4.5 | $0.00254 | $0.00254 |
Grade A, and why
workshop-harness CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories โ prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency โ measured 6d 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.
How it starts
The opening of the file, as written. The whole thing โ 98 lines โ stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md - Claude Code Agent Instructions for Workshop Harness
Standard Claude Code Context & Instructions for Workshop Harness (21 Agent Skills)
This repository provides native compatibility with Anthropic Claude Code CLI, Claude Sonnet 5.5 / Claude Opus 5.5 / Claude Fable 5.1, and Claude Desktop.
๐ฏ Repository Overview & Claude Code Role
workshop-harness is an AI Agent Harness, Skill Suite, and CLI Automation Toolkit for technical workshops (Build with AI, DevFest, Hands-on Labs).
๐ค CRITICAL RULES FOR CLAUDE CODE:
- ๐ Mandatory Autonomous Pre-Flight Web Search (
workshop-web-researcher):- Never rely on static model training data. AI training weights contain obsolete/deprecated APIs and retired model tags.
- Claude Code MUST AUTONOMOUSLY execute live web searches (
search_web/ web search) before generating any workshop code, Colab notebooks, or curriculum to verify current SDK methods, modern imports, and active model tags (e.g.gemini-4-argon,gemini-3.8-flash,gemini-3.8-live,claude-sonnet-5.5,claude-opus-5.5,gpt-6-astra,gpt-6.1-sol,gemma4,google-genai,google-adk,google-agents-cli,com.google.genai,genui).
- ๐ Developer-Friendly Terminology & Bilingual Technical Term Notation (์์ด ์๋ฌธ ๋ณ๊ธฐ & ์ง์ญ ๊ธ์ง):
- When generating or localizing documentation,
.mdfiles, presentation slides, runbooks, setup guides, or code comments in Korean, Japanese, or Chinese, do NOT use awkward literal machine translations. - Always use real-world developer terminology AND include the original English technical term alongside it (
๊ฐ๋ฐ์ ์นํ์ ์ฉ์ด (English Original)):- Korean (KO) + English Original: "ํธ์ฆ์จ ๋ฉ (Hands-on Lab)", "์ค์บํด๋ฉ (Scaffolding)", "๋ฐ๋ถ (Runbook)", "ํ๋กฌํํธ ์์ง๋์ด๋ง (Prompt Engineering)", "๊ตฌ์กฐํ ์ถ๋ ฅ (Structured Outputs)", "ํด ์ฝ๋ง (Tool Calling)", "๊ฒ์ ์ฆ๊ฐ ์์ฑ (RAG, Retrieval-Augmented Generation)", "์๋ฒ ๋ฉ (Embedding)", "์์ํ (Quantization)", "์ถ๋ก ์์ฐ (Thinking Budget)", "๋ฉํฐ ์์ด์ ํธ ์ค์ผ์คํธ๋ ์ด์ (Multi-Agent Orchestration)", "์์กด์ฑ ์ฃผ์ (Dependency Injection)", "ํด๋ฐฑ (Fallback)" (Never โ "์์ผ๋ก ํ๋ ์คํ์ค", โ "๋ฌ๋ฆฌ๋ ์ฑ ", โ "๋ฐํ ์ค์น", โ "์๊ฐ ์์ฐ").
- Japanese (JA) + English Original: ใใใณใบใชใณใฉใ (Hands-on Lab)ใ, ใใใใญใค (Deploy)ใ, ใในใญใฃใใฉใผใซใใฃใณใฐ (Scaffolding)ใ, ใๆง้ ๅๅบๅ (Structured Outputs)ใ, ใ้ๅญๅ (Quantization)ใ, ใใฉใณใใใฏ (Runbook)ใ.
- Chinese (ZH) + English Original: ใๅฎๆๅทฅไฝๅ (Hands-on Lab)ใ, ใ่ๆๆถ (Scaffolding)ใ, ใ็ปๆๅ่พๅบ (Structured Outputs)ใ, ใ้ๅ (Quantization)ใ, ใๆผ็ปๆๅ (Runbook)ใ.
- Code Comments: Preserve exact English identifiers (
root_agent,FunctionTool,thinking_budget,response_schema) and pair localized comments with English technical terms in parentheses. Seedocs/agents-spec/terminology-and-style-guide.md.
- When generating or localizing documentation,
- ๐ซ Typography Rule (No Em Dash in Markdown & Documentation):
- NEVER generate em dash characters (
\u2014) anywhere in generated.mdfiles, documentation, slides, code comments, or runbooks. Always use standard hyphens (-), colons (:), or parentheses(). - Run
python3 harness_cli.py audit-typography --target <dir> --fixto audit and sanitize markdown typography automatically.
- NEVER generate em dash characters (
- ๐ซ No Emojis in Documentation (Default: Clean Professional Text):
- Do NOT use emojis in generated documentation, slide decks, setup guides, code comments, or runbooks by default.
- Emojis may only be used if the user explicitly requests them in their prompt.
- Natural Language Autonomy:
- Users communicate using natural language prompts. Do NOT ask users to execute Python CLI commands directly.
- When a user asks a question or makes a request, Claude Code must autonomously read the corresponding skill file (
skills/*/SKILL.md) and execute the required Python tool or generate the artifacts on behalf of the user.
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.
- 6d ago Changed ยท +3 lines ยท +366 tokens per session 228c09ea907e
- 18d ago Changed ยท +5 lines ยท +277 tokens per session 1bc1a36e8f5e
- 2mo ago First seen ยท 90 lines ยท 1,893 tokens per session scan A 869d8aa4d481
workshop-harness CLAUDE.md is an instructions file published in the GitHub repository JAICHANGPARK/workshop-harness (5 stars, last pushed 3d ago), licensed MIT. It adds 2,536 tokens to every session, about $0.0101 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 2026-08-31.
workshop-harness CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| workshop-harness CLAUDE.mdJAICHANGPARK/workshop-harness | Instructions file | 5 | 3d ago | MIT | A | 2,536 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |