Borrowing it
Nothing to install: this file belongs to Codagent-AI/and-scene. 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/Codagent-AI/and-scene/main/AGENTS.mdgit clone --depth 1 https://github.com/Codagent-AI/and-sceneWrote 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/codagent-ai/and-scene/agents-md)<a href="https://agentmods.dev/instructions/codagent-ai/and-scene/agents-md"><img src="https://agentmods.dev/badge/instructions/codagent-ai/and-scene/agents-md/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/instructions/codagent-ai/and-scene/agents-md"><img src="https://agentmods.dev/badge/instructions/codagent-ai/and-scene/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 | $0.00741 | $0.00741 |
| Opus 5.5 | $0.00296 | $0.00296 |
| Sonnet 5.5 | $0.00148 | $0.00148 |
| Haiku 4.5 | $0.00074 | $0.00074 |
Grade A, and why
and-scene AGENTS.md 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 2mo 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
And Scene
And Scene is an Agent Skill for building animated, morphing browser presentations. This repository contains the distributable skill, its reusable React scene kit, scaffold templates, and the worked reference presentation.
Project Map
skills/presentation/SKILL.md: agent-facing presentation workflow and quality barskills/presentation/templates/bootstrap/: complete app scaffold copied into new projectsskills/presentation/templates/presentation/: files for an additional presentationsrc/presentation-kit/: canonical vendored React scene kitsrc/presentations/: reference presentations and registryscripts/verify.mjs: deterministic build and browser-render verificationscripts/inspect-presentation.mjs: screenshot capture and visual-quality diagnosticsopenspec/: current behavioral specifications and historical changes
Browser Tooling
Use chrome-devtools-axi for agent-driven browser inspection and debugging.
It is installed in the evaluation sandbox and provides a concise CLI over
Chrome DevTools:
chrome-devtools-axi open http://127.0.0.1:5173/
chrome-devtools-axi snapshot
chrome-devtools-axi screenshot /tmp/and-scene.png
Start with snapshot to inspect page structure, then use screenshots for visual
composition. Inspect the first, last, and dense or visually important steps;
also inspect a narrow viewport when the presentation is responsive-sensitive.
Use chrome-devtools-axi --help for the full command list. Do not invoke the
underlying Chrome DevTools MCP server directly when AXI is available.
Keep deterministic project verification in the repository's Playwright-backed
scripts. AXI is the interactive inspection interface; npm run verify remains
the automated browser gate.
Development Workflow
npm ci
npm test # Vitest unit and contract tests
npm run lint # ESLint
npm run build # TypeScript and production build
npm run verify # build plus browser-render verification
npm run inspect -- how-to-make-a-presentation
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.
- 2mo ago First seen · 81 lines · 741 tokens per session scan A 8596e0279321
and-scene AGENTS.md is an instructions file published in the GitHub repository Codagent-AI/and-scene (5 stars, last pushed yesterday), licensed MIT. It adds 741 tokens to every session, about $0.0030 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.
and-scene AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| and-scene AGENTS.mdCodagent-AI/and-scene | Instructions file | 5 | yesterday | MIT | A | 741 | 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 | yesterday | 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 |