workshop-harness: Instructions file for Codex

AGENTS.md

workshop-harness AGENTS.md is an instructions file for Codex, OpenCode from JAICHANGPARK/workshop-harness. It costs 3,859 tokens per session, scanned A, original, MIT.

Repository instructions for Workshop Harness, a toolkit for technical workshops, coding-agent skills, templates, and command-line automation. They describe the project layout and workflows for generating workshops and Android hands-on activities.

In plain words
What is it for?
They are for developing or running Workshop Harness workflows, including workshop curriculum, code samples, notebooks, templates, and Android labs. They help agents use the projectโ€™s CLI, skills, and document structure correctly.
Why use it?
They tell coding agents how the repository is organized and which checks are required before producing technical content. The instructions also require current web research because software libraries and model names can change.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions subagents; mentions Claude Code; mentions AGENTS.md.

This is JAICHANGPARK/workshop-harness's own configuration. It tells Codex and OpenCode how to work on workshop-harness itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything workshop-harness configures โ†’

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/JAICHANGPARK/workshop-harness/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/JAICHANGPARK/workshop-harness

Made for: Codex, OpenCode.

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 workshop-harness AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/jaichangpark/workshop-harness/agents-md/github.svg)](https://agentmods.dev/instructions/jaichangpark/workshop-harness/agents-md)
Your own site
<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 80ร—15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80ร—15 button for workshop-harness AGENTS.md

Your own site ยท 80ร—15
<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>
Per session 3,859 This file is loaded in full into every session.
When invoked 3,859 The same file โ€” it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file โ€” 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 $0.03859 $0.03859
Opus 5.5 $0.01544 $0.01544
Sonnet 5.5 $0.00772 $0.00772
Haiku 4.5 $0.00386 $0.00386

Measured 6d ago against content hash 9e89a9655877, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

AGENTS.md ยท 184 lines

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.


๐ŸŽฏ 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/

๐Ÿค– Natural Language Prompt โž” Autonomous Skill Execution Rules

CRITICAL RULES FOR ALL AI CODING AGENTS (Antigravity, Claude Code, Codex, Cursor, Aider):

  1. ๐ŸŒ 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 >= 2.30.1 SDK, @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.
  2. ๐ŸŒ Developer-Friendly Terminology & Bilingual Technical Term Notation (์˜์–ด ์›๋ฌธ ๋ณ‘๊ธฐ & ์ง์—ญ ๊ธˆ์ง€):
    • When authoring or localizing documentation, .md files, 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 (๊ฐœ๋ฐœ์ž ์นœํ™”์  ์šฉ์–ด (English Original)):
      • Korean (KO) + English Original: Use natural IT developer terminology with English original notation, e.g., ํ•ธ์ฆˆ์˜จ ๋žฉ (Hands-on Lab), ์Šค์บํด๋”ฉ (Scaffolding), ๋Ÿฐ๋ถ (Runbook), ํ”„๋กฌํ”„ํŠธ ์—”์ง€๋‹ˆ์–ด๋ง (Prompt Engineering), ๊ตฌ์กฐํ™” ์ถœ๋ ฅ (Structured Outputs), ํˆด ์ฝœ๋ง / ํ•จ์ˆ˜ ํ˜ธ์ถœ (Tool Calling / Function Calling), ๊ฒ€์ƒ‰ ์ฆ๊ฐ• ์ƒ์„ฑ (RAG, Retrieval-Augmented Generation), ์ž„๋ฒ ๋”ฉ (Embedding), ์–‘์žํ™” (Quantization), ์ถ”๋ก  ์˜ˆ์‚ฐ (Thinking Budget), ๋ฉ€ํ‹ฐ ์—์ด์ „ํŠธ ์˜ค์ผ€์ŠคํŠธ๋ ˆ์ด์…˜ (Multi-Agent Orchestration), ์„œ๋ธŒ ์—์ด์ „ํŠธ ์œ„์ž„ (Sub-Agent Delegation), ๊ถค์  ํ‰๊ฐ€ (Trajectory Evaluation), ์˜์กด์„ฑ ์ฃผ์ž… (Dependency Injection), ํด๋ฐฑ (Fallback). Never use awkward literal phrasing (e.g., โŒ "์†์œผ๋กœ ํ•˜๋Š” ์‹คํ—˜์‹ค", โŒ "๋‹ฌ๋ฆฌ๋Š” ์ฑ…", โŒ "๋ฐœํŒ ์„ค์น˜", โŒ "์ƒ๊ฐ ์˜ˆ์‚ฐ", โŒ "๋„๊ตฌ ๋ถ€๋ฅด๊ธฐ").
      • Japanese (JA) + English Original: Use standard developer Katakana / technical terms paired with English (e.g., ใ€Œใƒใƒณใ‚บใ‚ชใƒณใƒฉใƒœ (Hands-on Lab)ใ€, ใ€Œใ‚นใ‚ญใƒฃใƒ•ใ‚ฉใƒผใƒซใƒ‡ใ‚ฃใƒณใ‚ฐ (Scaffolding)ใ€, ใ€Œๆง‹้€ ๅŒ–ๅ‡บๅŠ› (Structured Outputs)ใ€, ใ€Œ้‡ๅญๅŒ– (Quantization)ใ€, ใ€Œใƒฉใƒณใƒ–ใƒƒใ‚ฏ (Runbook)ใ€).
      • Chinese (ZH) + English Original: Use Chinese tech community terminology paired with English (e.g., ใ€Œๅฎžๆˆ˜ๅทฅไฝœๅŠ/ๅŠจๆ‰‹ๅฎž้ชŒ (Hands-on Lab)ใ€, ใ€Œ่„šๆ‰‹ๆžถ (Scaffolding)ใ€, ใ€Œ็ป“ๆž„ๅŒ–่พ“ๅ‡บ (Structured Outputs)ใ€, ใ€Œ้‡ๅŒ– (Quantization)ใ€, ใ€Œๆผ”็ปƒๆ‰‹ๅ†Œ (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. See docs/agents-spec/terminology-and-style-guide.md.
  3. ๐Ÿšซ Typography Rule (No Em Dash in Markdown & Documentation):
    • NEVER generate em dash characters (\u2014) in any generated documentation, .md files, 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 by python3 harness_cli.py test --target <dir>).
  4. ๐Ÿšซ 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").
  5. ๐Ÿ—ฃ๏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.md and execute the appropriate harness CLI command or generate the code artifacts on behalf of the user.

Read the full file on GitHub ยท 184 lines

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. 6d ago Changed ยท +4 lines ยท +477 tokens per session 9e89a9655877
  2. 18d ago Changed ยท +17 lines ยท +492 tokens per session 55e2a29305b0
  3. 2mo ago First seen ยท 163 lines ยท 2,890 tokens per session scan A ced30b7946d7

Subscribe to this mod's changes

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.

Related

workshop-harness AGENTS.md compared with instructions from other repositories

workshop-harness AGENTS.md next to 6 instructions from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
workshop-harness AGENTS.mdJAICHANGPARK/workshop-harnessInstructions file53d agoMITA3,859Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA9,719GitHub Copilot
next.js AGENTS.mdvercel/next.jsInstructions file143ktodayMITA7,461Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchainInstructions file149kyesterdayMITA4,680Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA5,516GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode