Borrowing it
Nothing to install: this file belongs to port-labs/port-skills. 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/port-labs/port-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/port-labs/port-skillsWrote 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/port-labs/port-skills/agents-md)<a href="https://agentmods.dev/instructions/port-labs/port-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/port-labs/port-skills/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/port-labs/port-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/port-labs/port-skills/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 | $0.00585 | $0.00585 |
| Opus 5 | $0.00293 | $0.00293 |
| Sonnet 5 | $0.00117 | $0.00117 |
| Haiku 4.5 | $0.00059 | $0.00059 |
Grade A, and why
port-skills 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 9d 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 — 38 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Instructions for a coding agent working on this repo (adding, editing, or
reviewing a skill). If you're an agent using these skills to help a user
work with Port instead, start from README.md and the
relevant skills/*/SKILL.md instead of this file.
TL;DR
- Read
CONTRIBUTING.mdand.claude/skills/port-skill-creator/SKILL.md(+ itsreferences/skill-writing-guide.md) before writing or editing a skill. That's the authoring spec, not this file. It lives under.claude/skills/, notskills/, because it's tooling for contributing to this repo, not something an end user installs into their own coding agent. - Look for an existing skill before creating a new one. Check the skill
table in
README.mdfirst. If a skill already half-covers the territory, extend it instead of shipping a second skill that contradicts it when both load. - Prefer nesting over a new top-level skill. If the new content is a
sub-topic of an existing skill's job (see
skills/port-dashboards/port-dashboard-plugins/for the pattern), nest it under that skill's directory rather than adding a sibling underskills/. - Every skill is namespaced
port-<name>, directory and frontmatternameboth, enforced byvalidate-skill.js. There's no unprefixed skill in this repo. - Don't guess at Port's product surface. If you need to verify
terminology, an API shape, a resource schema, or anything else about how
Port actually works, use the
search_port_knowledge_sourcesPort MCP tool if connected, or fetch docs.port.io directly. A skill built on a guess is worse than no skill. - Before committing:
node .claude/skills/port-skill-creator/scripts/validate-skill.js --all, thennode .claude/skills/port-skill-creator/scripts/generate-skill-index.jsand commit the resultingREADME.mddiff. CI re-checks both. - Don't hand-bump
.claude-plugin/plugin.json'sversion. CI does that automatically (and tags a release) on every merge tomainthat touchesskills/,.claude/skills/,.claude-plugin/, or.mcp.json.
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.
- 9d ago First seen · 38 lines · 585 tokens per session scan A d2b74e392395
port-skills AGENTS.md is an instructions file published in the GitHub repository port-labs/port-skills (3 stars, last pushed 7d ago), licensed MIT. It adds 585 tokens to every session, about $0.0029 per session on Opus 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.
Other instructions, from other repositories
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.
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.
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).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
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.
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.