Borrowing it
Nothing to install: this file belongs to streamlit/agent-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/streamlit/agent-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/streamlit/agent-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/streamlit/agent-skills/agents-md)<a href="https://agentmods.dev/instructions/streamlit/agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/streamlit/agent-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/streamlit/agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/streamlit/agent-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 | $0.00880 | $0.00880 |
| Opus 5.5 | $0.00352 | $0.00352 |
| Sonnet 5.5 | $0.00176 | $0.00176 |
| Haiku 4.5 | $0.00088 | $0.00088 |
Grade A, and why
agent-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 1mo 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 — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file provides guidance to AI coding agents (Claude Code, Cursor, Copilot, etc.) when working with code in this repository.
Repository overview
This repository contains a single meta-skill that teaches AI agents how to discover Streamlit development skills bundled inside the Streamlit pip package (1.57+).
The actual skill content (dashboards, themes, layouts, session state, custom components, etc.) now ships with Streamlit itself. This repo provides the entry point that bootstraps that discovery — new skill content should be contributed upstream to the Streamlit repository, not added here.
Key files:
developing-with-streamlit/SKILL.md— Meta-skill that locates and loads bundled Streamlit skillsdeveloping-with-streamlit/scripts/discover.py— The actual contract implementation (interpreter detection, package-path lookup, fallback exit codes); edit this when changing discovery behaviortests/discovery/test_discovery.py— Pytest suite that exercises every documented codepath indiscover.pyon Linux + Windows; add a test here when adding a new branchREADME.md— Human-readable documentation and install instructions
Meta-skill contract
The meta-skill at developing-with-streamlit/SKILL.md resolves the bundled routing skill by:
- Detecting the active Python interpreter, in priority order:
$VIRTUAL_ENV→./.venv→../.venv→<git-root>/.venv→$CONDA_PREFIX→pipenv(ifPipfilepresent) →poetry(ifpoetry.lockpresent) →pdm(ifpdm.lockpresent) →uv(ifuv.lockpresent) → systempython3/python. - Running
python -c "import streamlit; print(streamlit.__path__[0])"to locate the installed package. - Loading
<streamlit_path>/.agents/skills/developing-with-streamlit/SKILL.md. - Falling back to
pip install streamlitwhen missing, orhttps://docs.streamlit.io/llms-full.txtwhen the installed version predates bundled skills.
When editing the meta-skill, preserve this contract. Changes that alter interpreter detection order, the package-path lookup, or the fallback behavior should be explicit and reviewed.
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.
- 1mo ago First seen · 43 lines · 880 tokens per session scan A f0c66544dc87
agent-skills AGENTS.md is an instructions file published in the GitHub repository streamlit/agent-skills (226 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 880 tokens to every session, about $0.0035 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.
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.
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).