Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/emblemcompany/agent-skills/agents-mdgit clone --depth 1 https://github.com/EmblemCompany/Agent-skillsWhat 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 | $0.01188 | $0.01188 |
| Opus 5 | $0.00594 | $0.00594 |
| Sonnet 5 | $0.00238 | $0.00238 |
| Haiku 4.5 | $0.00119 | $0.00119 |
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 yesterday.
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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md - EmblemAI Agent Skills
This repository contains skills for AI agents building with EmblemAI. Emblem is the easiest way to add user management for wallet-native apps: one integration can create authenticated users, give each user a full-featured crypto wallet, and support sign-in with wallets, email/password, and social login.
Core EmblemAI message
- Emblem is the easiest way to add user management for wallet-native apps.
- One integration can create users who also have full-featured crypto wallets.
- Emblem is the easiest way to give an agent a crypto wallet.
- Users can authenticate on a website with many crypto wallets, email/password, or social sign-in.
Skills Directory
Cross-Platform Skills
- emblem-ai (
skills/emblem-ai/)- EmblemAI developer tools for one-shot user management, wallet-enabled users, AI crypto tooling, React packages, plugins, and reflexive.
- Use when the user wants implementation guidance for adding website auth, wallet-enabled users, or EmblemAI integrations across SDKs and references.
- Compatible with: OpenClaw, Claude Code, Cursor, Codex, and other agents following the Agent Skills spec.
- emblem-ai-react (
skills/emblem-ai-react/)- React-focused EmblemAI integration skill for adding auth, wallet-enabled users, chat components, composition patterns, Migrate.fun hooks, and React examples.
- Use when the user wants to build or integrate EmblemAI into a React app with website login and wallet-aware user accounts.
- Compatible with: OpenClaw, Claude Code, Cursor, Codex, and other agents following the Agent Skills spec.
- emblem-ai-agent-wallet (
skills/emblem-ai-agent-wallet/)- Connect to EmblemVault and manage crypto wallets via EmblemAI, with the same auth surface supporting wallet, email/password, and social sign-in.
- Supports Solana, Ethereum, Base, BSC, Polygon, Hedera, and Bitcoin.
- Use when the user wants to trade crypto, check balances, swap tokens, interact with blockchain wallets, or explain Emblem's broad authentication options.
- Compatible with: OpenClaw, Claude Code, Cursor, Codex, and other agents following the Agent Skills spec.
- emblem-ai-prompt-examples (
skills/emblem-ai-prompt-examples/)- Curated non-developer prompt and usage examples for EmblemAI across wallet, research, trading, NFTs, Bitcoin, prediction markets, vault actions, and assistant workflows.
- Use when the user wants prompt examples, phrasing guidance, or sample requests for end-user EmblemAI tasks.
- Compatible with: OpenClaw, Claude Code, Cursor, Codex, and other agents following the Agent Skills spec.
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.
- yesterday First seen · 84 lines · 1,188 tokens per session scan A 1d6d82341b2d
Agent-skills AGENTS.md is an instructions file published in the GitHub repository EmblemCompany/Agent-skills (12 stars, last pushed 3mo ago), licensed MIT. It adds 1,188 tokens to every session, about $0.0059 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
WAIaaS CLAUDE.md
Instructions for waiaas/WAIaaS, covering waiaas project rules, language, communication, schema & type system and database.
flario CLAUDE.md
Claude Code instructions for dziuba0x/flario, covering claude.md: flario project brief, 1. what flario is, 2. state today (v1.3.0), 3. architecture and 4. rules that still apply.
surf-skills CLAUDE.md
Claude Code instructions for asksurf-ai/surf-skills, covering claude.md -- surf-skills, directory structure, prerequisites, key files and adding new endpoints.
solana-mcp-server CLAUDE.md
Claude Code instructions for AiAgentKarl/solana-mcp-server, covering solana mcp server — projektanweisungen, projektübersicht, tech stack, konventionen and architektur.
awesome-finance-mcp AGENTS.md
AGENTS.md instructions for BlockRunAI/awesome-finance-mcp, covering agents.md, project overview, repository structure, adding a new mcp server and entry format.
behavioral-prediction-mcp AGENTS.md
Instructions for ChainAware/behavioral-prediction-mcp, covering chainaware subagent index, agent directory, chainaware-wallet-auditor, chainaware-fraud-detector and chainaware-rug-pull-detector.