Borrowing it
Nothing to install: this file belongs to TxnLab/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/TxnLab/skills/main/AGENTS.mdgit clone --depth 1 https://github.com/TxnLab/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/txnlab/skills/agents-md)<a href="https://agentmods.dev/instructions/txnlab/skills/agents-md"><img src="https://agentmods.dev/badge/instructions/txnlab/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/txnlab/skills/agents-md"><img src="https://agentmods.dev/badge/instructions/txnlab/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 | $0.00474 | $0.00474 |
| Opus 5.5 | $0.00190 | $0.00190 |
| Sonnet 5.5 | $0.00095 | $0.00095 |
| Haiku 4.5 | $0.00047 | $0.00047 |
Grade A, and why
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 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.
How it starts
The opening of the file, as written. The whole thing — 53 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 working with code in this repository.
Project Overview
This is a documentation repository containing Agent Skills for TxnLab's Algorand ecosystem. Skills extend AI coding agents with specialized knowledge about NFDomains, use-wallet, and Haystack Router. There is no build step or compiled output — the deliverables are markdown files.
Commands
# Validate all skills
node scripts/validate.js
# Validate a specific skill
node scripts/validate.js <skill-name>
There are no build, test, or lint commands. Validation is the only check.
Architecture
Each skill lives in skills/<skill-name>/ and follows the Agent Skills specification:
SKILL.md— Entry point with YAML frontmatter (nameanddescriptionrequired). Thenamefield must match the directory name.references/— Detailed markdown guides for specific tasks (API usage, framework integration, etc.)assets/— Optional static assets (none currently used)
The validation script (scripts/validate.js) checks frontmatter structure using only Node.js built-ins (no dependencies). It parses YAML frontmatter manually and verifies required fields.
Current Skills
| Skill | Package |
|---|---|
nfd |
@txnlab/nfd-sdk — Algorand Name Service (.algo domains) |
use-wallet |
@txnlab/use-wallet v4.x — Multi-framework wallet connections |
haystack-router |
@txnlab/haystack-router — DEX aggregator and swap routing |
Adding a New Skill
- Create
skills/<skill-name>/SKILL.mdwith YAML frontmatter containingname(matching directory) anddescription - Add
references/*.mdfiles for detailed task-specific documentation - Run
node scripts/validate.jsto verify - Use conventional commits
Local Testing
Symlink a skill directory to test with Claude Code directly:
ln -s $(pwd)/skills/nfd ~/.claude/skills/nfd
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 · 53 lines · 474 tokens per session scan A 727eaf6d7b48
skills AGENTS.md is an instructions file published in the GitHub repository TxnLab/skills (6 stars, last pushed 8mo ago), licensed MIT. It adds 474 tokens to every session, about $0.0019 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 2026-08-31.
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.