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/AGENTS.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/agents-md)<a href="https://agentmods.dev/instructions/jaichangpark/workshop-harness/agents-md"><img src="https://agentmods.dev/badge/instructions/jaichangpark/workshop-harness/agents-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/agents-md"><img src="https://agentmods.dev/badge/instructions/jaichangpark/workshop-harness/agents-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 | $0.03859 | $0.03859 |
| Opus 5.5 | $0.01544 | $0.01544 |
| Sonnet 5.5 | $0.00772 | $0.00772 |
| Haiku 4.5 | $0.00386 | $0.00386 |
Grade A, and why
workshop-harness AGENTS.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 184 lines โ stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md - Agent Instructions for Workshop Harness
Standard AI Agent Context & Instructions Specification (https://agents.md/)
This repository provides seamless integration for all AI Coding Agents including Google Antigravity, Gemini CLI, Anthropic Claude Code, OpenAI Codex / ChatGPT, Aider, and Cursor / Windsurf.
๐ฏ Repository Overview & Purpose
workshop-harness is an AI Agent Harness, Skill Suite, and CLI Automation Toolkit for technical workshops (Build with AI, DevFest, community coding labs).
- CLI Automation:
python3 harness_cli.py - 21 Agent Skills: Located under
skills/*/SKILL.md - Document Templates: Located under
templates/doc-templates/
๐ค Natural Language Prompt โ Autonomous Skill Execution Rules
CRITICAL RULES FOR ALL AI CODING AGENTS (Antigravity, Claude Code, Codex, Cursor, Aider):
- ๐ Mandatory Autonomous Pre-Flight Web Search (
workshop-web-researcher):
- NEVER rely solely on LLM internal parametric training data when generating workshop curriculum, code samples, Colab notebooks, or setup guides. Parametric weights contain outdated/deprecated APIs and retired model tags.
- You MUST AUTONOMOUSLY execute live web searches (
search_web/ web search) BEFORE writing any code or documentation to verify the newest SDK syntax (e.g.google-genai >= 2.30.1SDK,@google/genai >= 2.29.1,google-adk,google-agents-cli,com.google.genai:google-genai-kotlin-android,google_generative_ai,genui), current model tags (e.g.gemini-4-argon,gemini-3.8-flash,gemini-3.8-live,gemini-nano-banana-2.1,gemini-omni-1.1-flash,claude-sonnet-5.5,claude-opus-5.5,gpt-6-astra,gpt-6.1-sol,gemma4,qwen3.6), and breaking changes.- ๐ Developer-Friendly Terminology & Bilingual Technical Term Notation (์์ด ์๋ฌธ ๋ณ๊ธฐ & ์ง์ญ ๊ธ์ง):
- When authoring or localizing documentation,
.mdfiles, slide decks, setup guides, runbooks, or code comments into Korean (KR), Japanese (JA), or Chinese (ZH), NEVER perform awkward literal / word-for-word machine translations.- Always pair localized developer-friendly terms with the original English technical term in parentheses (
๊ฐ๋ฐ์ ์นํ์ ์ฉ์ด (English Original)):
- Korean (KO) + English Original: Use natural IT developer terminology with English original notation, e.g., ํธ์ฆ์จ ๋ฉ (Hands-on Lab), ์ค์บํด๋ฉ (Scaffolding), ๋ฐ๋ถ (Runbook), ํ๋กฌํํธ ์์ง๋์ด๋ง (Prompt Engineering), ๊ตฌ์กฐํ ์ถ๋ ฅ (Structured Outputs), ํด ์ฝ๋ง / ํจ์ ํธ์ถ (Tool Calling / Function Calling), ๊ฒ์ ์ฆ๊ฐ ์์ฑ (RAG, Retrieval-Augmented Generation), ์๋ฒ ๋ฉ (Embedding), ์์ํ (Quantization), ์ถ๋ก ์์ฐ (Thinking Budget), ๋ฉํฐ ์์ด์ ํธ ์ค์ผ์คํธ๋ ์ด์ (Multi-Agent Orchestration), ์๋ธ ์์ด์ ํธ ์์ (Sub-Agent Delegation), ๊ถค์ ํ๊ฐ (Trajectory Evaluation), ์์กด์ฑ ์ฃผ์ (Dependency Injection), ํด๋ฐฑ (Fallback). Never use awkward literal phrasing (e.g., โ "์์ผ๋ก ํ๋ ์คํ์ค", โ "๋ฌ๋ฆฌ๋ ์ฑ ", โ "๋ฐํ ์ค์น", โ "์๊ฐ ์์ฐ", โ "๋๊ตฌ ๋ถ๋ฅด๊ธฐ").
- Japanese (JA) + English Original: Use standard developer Katakana / technical terms paired with English (e.g., ใใใณใบใชใณใฉใ (Hands-on Lab)ใ, ใในใญใฃใใฉใผใซใใฃใณใฐ (Scaffolding)ใ, ใๆง้ ๅๅบๅ (Structured Outputs)ใ, ใ้ๅญๅ (Quantization)ใ, ใใฉใณใใใฏ (Runbook)ใ).
- Chinese (ZH) + English Original: Use Chinese tech community terminology paired with English (e.g., ใๅฎๆๅทฅไฝๅ/ๅจๆๅฎ้ช (Hands-on Lab)ใ, ใ่ๆๆถ (Scaffolding)ใ, ใ็ปๆๅ่พๅบ (Structured Outputs)ใ, ใ้ๅ (Quantization)ใ, ใๆผ็ปๆๅ (Runbook)ใ).
- Code Comments & Identifiers: Keep all SDK symbols, class/function names, and CLI flags in their exact English form (
root_agent,LlmAgent,FunctionTool,thinking_budget,response_schema), and write comments using developer-friendly terminology with English terms in parentheses. Seedocs/agents-spec/terminology-and-style-guide.md.- ๐ซ Typography Rule (No Em Dash in Markdown & Documentation):
- NEVER generate em dash characters (
\u2014) in any generated documentation,.mdfiles, code comments, slide decks, setup guides, or runbooks.- Always use standard hyphens (
-), colons (:), or parentheses()instead.- Enforce and auto-sanitize via
python3 harness_cli.py audit-typography --target <dir> --fix(verified as a hard gate bypython3 harness_cli.py test --target <dir>).- ๐ซ No Emojis in Documentation (Default: Clean Professional Text):
- Do NOT include emojis in generated documentation, slide decks, setup guides, code comments, or runbooks by default.
- Only use emojis if the user explicitly requests them in their prompt (e.g., "use emojis in headings").
- ๐ฃ๏ธ Natural Language Autonomy:
- Users communicate via natural language chat prompts. Do NOT instruct users to run Python commands themselves.
- When a user requests a task, you MUST autonomously read the relevant
skills/*/SKILL.mdand execute the appropriate harness CLI command or generate the code 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 +4 lines ยท +477 tokens per session 9e89a9655877
- 18d ago Changed ยท +17 lines ยท +492 tokens per session 55e2a29305b0
- 2mo ago First seen ยท 163 lines ยท 2,890 tokens per session scan A ced30b7946d7
workshop-harness AGENTS.md is an instructions file published in the GitHub repository JAICHANGPARK/workshop-harness (5 stars, last pushed 3d ago), licensed MIT. It adds 3,859 tokens to every session, about $0.0154 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 AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| workshop-harness AGENTS.mdJAICHANGPARK/workshop-harness | Instructions file | 5 | 3d ago | MIT | A | 3,859 | Codex, OpenCode |
| 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 |