Borrowing it
Nothing to install: this file belongs to miapre/mimic-ai. 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/miapre/mimic-ai/main/CLAUDE.mdgit clone --depth 1 https://github.com/miapre/mimic-aiWrote 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/miapre/mimic-ai/claude-md)<a href="https://agentmods.dev/instructions/miapre/mimic-ai/claude-md"><img src="https://agentmods.dev/badge/instructions/miapre/mimic-ai/claude-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/miapre/mimic-ai/claude-md"><img src="https://agentmods.dev/badge/instructions/miapre/mimic-ai/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 | $0.07131 | $0.07131 |
| Opus 5.5 | $0.02852 | $0.02852 |
| Sonnet 5.5 | $0.01426 | $0.01426 |
| Haiku 4.5 | $0.00713 | $0.00713 |
Grade A, and why
mimic-ai CLAUDE.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 18d 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 — 667 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mimic AI
MCP server that builds production-ready Figma using the design system on the user's target file. Accepts prompts, HTML, or any description. Uses real components, tokens, and auto-layout. Learns from every build.
Prerequisites
- FIGMA_TOKEN must be set in the MCP server config
(or in
~/.mimic-ai.jsonas fallback). Without it, Mimic cannot read the library's components or text styles. Generate one in Figma: avatar (top-left) → Settings → Security → Personal access tokens → "Generate new token" (name: "Mimic AI", 90-day expiration). Five scopes required (all read-only):current_user:read,file_content:read,file_metadata:read,library_assets:read,library_content:read. Mimic validates the token on every build and guides users through setup or renewal if missing/expired. - Library file key is prompted once per library and
cached permanently. The user copies it from the library
file's URL:
figma.com/design/<this-part>/... - Figma plugin must be running. In Figma desktop: Plugins > Development > Mimic AI > Run. The bridge connects automatically on first tool call.
- fileKey is the alphanumeric string in the Figma URL:
figma.com/design/<fileKey>/...— pass it tomimic_discover_ds. - Start every build with
mimic_status. It returns the current phase and tells you what to do next. - Don't guess variable paths. Discovery populates the
cache. Use
figma_list_ds(kind:"variables"or"text_styles") to see what's available.
Component-First Principle
Target ~90% DS component usage, ~10% primitives with DS
variables. Every build should maximize DS component coverage.
Before creating ANY frame, check if the DS has a component for
it. Section-level elements (header, footer, sidebar) and UI
patterns (cards, metrics, tables, badges, buttons, inputs)
should ALWAYS be DS components. Only use figma_create_frame
for truly custom layouts that have no DS equivalent — and even
then, bind every property to DS variables and text styles.
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.
- 18d ago Changed · +3 lines · +193 tokens per session 9bc692032dfa
- 1mo ago First seen · 664 lines · 6,938 tokens per session scan A 1aada08f6657
mimic-ai CLAUDE.md is an instructions file published in the GitHub repository miapre/mimic-ai (15 stars, last pushed 18d ago), licensed MIT. It adds 7,131 tokens to every session, about $0.0285 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 2026-08-30.
Other instructions, from other repositories
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).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.