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 agentmods add instructions/azuma520/cinematic-ui/agents-mdgit clone --depth 1 https://github.com/azuma520/cinematic-uiWrote 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/azuma520/cinematic-ui/agents-md)<a href="https://agentmods.dev/instructions/azuma520/cinematic-ui/agents-md"><img src="https://agentmods.dev/badge/instructions/azuma520/cinematic-ui/agents-md.svg" alt="Measured on agentmods" 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 | $0.00640 | $0.00640 |
| Opus 5 | $0.00320 | $0.00320 |
| Sonnet 5 | $0.00128 | $0.00128 |
| Haiku 4.5 | $0.00064 | $0.00064 |
Grade A, and why
cinematic-ui 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 4d 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.
This is a copy
100% identical to cinematic-ui AGENTS.md — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This repository contains a reusable Skill for AI coding/design agents.
What This Project Is
cinematic-layout helps agents generate websites with:
- stronger high-end visual direction
- better control of pacing, space, light, and composition
- less template drift across repeated demos
- a director + film based research-and-translation workflow instead of generic luxury UI prompting
Primary Goal
The main pain point this project solves is:
AI often produces websites that are technically clean but visually average, weak in rhythm, weak in spatial control, and too dependent on generic hero/feature/CTA patterns.
This skill pushes agents to solve those problems through a computer-operable workflow:
- complete the start questionnaire for this invocation
- research a director + film with external sources when available
- extract cinematic grammar from that research
- define page scenes
- lock signature compositions
- derive shared system last
- implement and verify
Important boundary:
The film is not the computer workflow. The film is the research substrate. The computer-operable workflow starts when the agent translates those observations into decisions, storyboard, spec, and implementation.
Read Order
When working on this repo or using this skill, read in this order:
- README.md
- SKILL.md
- references/output-templates.md
- references/premium-calibration.md
- references/anti-garbage.md
Rules For Agents
- Do not turn this into a generic premium-brand website skill.
- Keep the director + film mechanism as the emotional source.
- Every invocation must complete the start questionnaire before Phase 1.
- Research the chosen director and film before locking the phase when web access is available.
- Preserve the
decisions -> storyboard -> compiled-spec -> buildworkflow. - Maintain the
Demo Uniqueness Protocol. - If you change workflow rules, also check:
references/output-templates.mdreferences/premium-calibration.mdreferences/anti-garbage.md
- Prefer progressive disclosure:
- keep
SKILL.mdlean - move details into
references/
- keep
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.
- 4d ago First seen · 73 lines · 640 tokens per session scan A 7d435e06afe0
cinematic-ui AGENTS.md is an instructions file published in the GitHub repository azuma520/cinematic-ui (4 stars, last pushed 5mo ago), licensed MIT. It adds 640 tokens to every session, about $0.0032 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to cinematic-ui AGENTS.md, differing in 0 lines, and is treated as a copy.
Other instructions, from other repositories
solidworks-api-skill CLAUDE.md
Instructions for guoleizhen717/solidworks-api-skill, covering solidworks api skill repository, repository purpose, skill scope and project conventions.
q3ds-solidworks-mcp AGENTS.md
AGENTS.md instructions for zarcherlot/q3ds-solidworks-mcp, covering codex repository guidance, architecture, drawing planning and verification.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.