Semiotic is a React library for building data visualizations such as charts, network graphs, streaming displays, and coordinated dashboards. It is used by developers who need to render data-driven interfaces, including with AI coding assistants. Its schemas and MCP server support the catalogue's add-ons for generating chart code.
Borrowing it
Nothing to install: this file belongs to nteract/semiotic. 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/nteract/semiotic/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/nteract/semioticWrote 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/nteract/semiotic/copilot-instructions)<a href="https://agentmods.dev/instructions/nteract/semiotic/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/nteract/semiotic/copilot-instructions/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/nteract/semiotic/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/nteract/semiotic/copilot-instructions.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 | $0.00336 | $0.00336 |
| Opus 5.5 | $0.00134 | $0.00134 |
| Sonnet 5.5 | $0.00067 | $0.00067 |
| Haiku 4.5 | $0.00034 | $0.00034 |
Grade A, and why
semiotic copilot-instructions.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.
What it actually says
Semiotic Copilot instructions
Use AGENTS.md as the authoritative repository-wide development guide. This
short compatibility file exists for Copilot surfaces that do not yet load
AGENTS.md directly; open that file when the task needs repository layout,
commands, product contracts, or the full verification matrix.
- Semiotic is a strict TypeScript/React visualization library. Follow the double-quote, no-semicolon, Prettier, and ESLint conventions already present.
- Preserve unrelated worktree changes and make the smallest coherent change.
- Prefer high-level chart components and family subpath imports in production examples; use Stream Frames only for controls the high-level API does not expose.
- Keep public APIs, types, chart specs, schemas, generated documentation, and focused tests synchronized.
- Do not hand-edit build output or generated marker sections. Run the owning generator.
- Run checks proportional to the change and report only checks that actually completed successfully.
For chart-generation guidance, start with ai/system-prompt.md and the exact
component schema. Treat ai/reference.md and ai/examples.md as on-demand
resources rather than default context.
For pull request review, use the workflow in
.github/skills/code-review/SKILL.md. Use GitHub MCP to retrieve referenced
issues, incidents, related pull requests, and relevant CI results. Use
Playwright MCP when a review claim depends on browser rendering, interaction,
responsive layout, hydration, or accessibility. When an unstable custom lint
fails, evaluate the rule as well as the code before recommending a disposition.
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 · 31 lines · 336 tokens per session scan A 26e86158f21e
semiotic copilot-instructions.md is an instructions file published in the GitHub repository nteract/semiotic (2,717 stars, last pushed today), licensed Apache-2.0. It adds 336 tokens to every session, about $0.0013 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).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.