Borrowing it
Nothing to install: this file belongs to ar27111994/penpot-mcp. 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/ar27111994/penpot-mcp/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/ar27111994/penpot-mcpWrote 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/ar27111994/penpot-mcp/copilot-instructions)<a href="https://agentmods.dev/instructions/ar27111994/penpot-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/ar27111994/penpot-mcp/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/ar27111994/penpot-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/ar27111994/penpot-mcp/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 | $0.00964 | $0.00964 |
| Opus 5 | $0.00482 | $0.00482 |
| Sonnet 5 | $0.00193 | $0.00193 |
| Haiku 4.5 | $0.00096 | $0.00096 |
Grade C, and why
penpot-mcp copilot-instructions.md scanned grade C with 1 finding 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 8d 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
<!-- USER INSTRUCTIONS BELOW THIS LINE — preserved across re-generation runs --> How it starts
The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Workspace Context
- Language/Framework: javascript
- Detected features: none detected
- Active plugins: none
Project Guidelines
Repository Purpose
- This repository packages the
penpot-mcpagent skill. Treat it as documentation and workflow content for AI agents, not as a JavaScript application runtime. - Keep
penpot-mcp/SKILL.mdas the concise always-loaded core. Put longer task recipes, API details, and examples inpenpot-mcp/references/*.md. - Keep
README.md,package.json, andpenpot-mcp/SKILL.mdaligned when changing the public description, supported workflows, tool list, install guidance, or release metadata.
Source Layout
penpot-mcp/SKILL.md: trigger description, setup guidance, safety workflow, common prompts, and critical gotchas.penpot-mcp/references/penpot-api-patterns.md: authoritative Penpot plugin API patterns, JavaScript examples, and low-level gotchas.penpot-mcp/references/design-system-workflows.md: design system creation, audit, migration, and component library workflows.penpot-mcp/references/design-to-code-workflows.md: HTML/CSS, React, token extraction, asset export, and design-code sync workflows.penpot-mcp/references/prototyping-workflows.md: flows, overlays, interactions, animations, and prototype audit workflows.
Authoring Style
- Write for AI agents. Prefer direct, imperative, testable rules such as "Always", "Never", "Use when", and "Verify".
- Keep instructions compact and scannable with headings, checklists, tables, and fenced examples. Move long explanations to reference files instead of expanding
SKILL.md. - Preserve exact Penpot MCP tool names:
high_level_overview,penpot_api_info,execute_code,export_shape, andimport_image. - Use deterministic examples: stable names, explicit input/output formats, compact JSON schemas, and clear pause or approval points.
- When changing a rule or gotcha, search nearby docs for duplicated guidance and update related mentions so the skill does not contradict itself.
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.
- 8d ago First seen · 61 lines · 964 tokens per session scan C 218a3ebe0c01
penpot-mcp copilot-instructions.md is an instructions file published in the GitHub repository ar27111994/penpot-mcp (24 stars, last pushed 7d ago), licensed MIT. It adds 964 tokens to every session, about $0.0048 per session on Opus 5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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