Borrowing it
Nothing to install: this file belongs to algorand-devrel/algorand-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/algorand-devrel/algorand-agent-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/algorand-devrel/algorand-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/algorand-devrel/algorand-agent-skills/agents-md)<a href="https://agentmods.dev/instructions/algorand-devrel/algorand-agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/algorand-devrel/algorand-agent-skills/agents-md.svg" alt="Measured on agentmods" 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 | $0.00578 | $0.00578 |
| Opus 5 | $0.00289 | $0.00289 |
| Sonnet 5 | $0.00116 | $0.00116 |
| Haiku 4.5 | $0.00058 | $0.00058 |
Grade A, and why
algorand-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 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.
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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This repository contains Algorand Agent Skills - a collection of skills and configurations for AI-assisted Algorand development.
What This Repo Contains
skills/- Universal Algorand skills (building contracts, testing, deployment, etc.)setups/- Tool-specific configurations for OpenCode, Claude Code, Cursor, and Copilotscripts/- Skill tooling (init, validate, package).claude/skills/skill-creator/- Skill for creating new skills
For Agents Working on This Repo
When contributing to this repo, follow these guidelines:
Skill Structure
Each skill lives in skills/<skill-name>/ with:
SKILL.md- Required: YAML frontmatter + instructionsREFERENCE.md- Optional: Detailed reference documentationEXAMPLES.md- Optional: Usage examples- Additional
.mdfiles for topic-specific details
SKILL.md Format
---
name: skill-name
description: Brief description of when to use this skill
---
# Skill Title
## When to use this skill
[Triggers and use cases]
## Overview / Core Workflow
[Main steps]
## How to proceed
[Detailed instructions]
## Important Rules / Guidelines
[Critical do's and don'ts]
## References / Further Reading
[Links to related skills and docs]
Best Practices
- Keep SKILL.md under 500 lines - Split detailed content into separate files
- Include strong triggers - List phrases that should activate this skill
- Provide examples - Show correct and incorrect patterns
- Link related skills - Help agents discover related capabilities, see Progressive Disclosure
Testing Skills
To test a skill:
- Create a test AlgoKit project
- Copy
setups/AGENTS.mdand relevant setup files to the project - Copy the
skills/directory - Use your AI coding tool to trigger the skill
- Verify the output follows expected patterns
Contributing
See CONTRIBUTING.md for detailed contribution guidelines, including:
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 · 81 lines · 578 tokens per session scan A 50de0d30b52f
algorand-agent-skills AGENTS.md is an instructions file published in the GitHub repository algorand-devrel/algorand-agent-skills (33 stars, last pushed 21d ago), licensed MIT. It adds 578 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 2026-08-30.
Other instructions, from other repositories
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).
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.
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 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).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.