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 skills add EmblemCompany/Agent-skills --skill emblem-aigit clone --depth 1 https://github.com/EmblemCompany/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/skills/emblemcompany/agent-skills/emblem-ai)<a href="https://agentmods.dev/skills/emblemcompany/agent-skills/emblem-ai"><img src="https://agentmods.dev/badge/skills/emblemcompany/agent-skills/emblem-ai/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/skills/emblemcompany/agent-skills/emblem-ai"><img src="https://agentmods.dev/badge/skills/emblemcompany/agent-skills/emblem-ai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
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 | $0.00100 | $0.03143 |
| Opus 5 | $0.00050 | $0.01571 |
| Sonnet 5 | $0.00020 | $0.00629 |
| Haiku 4.5 | $0.00010 | $0.00314 |
Grade A, and why
emblem-ai 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 13d 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 — 312 lines — stays where its author put it; the contents beside it link to each section on GitHub.
EmblemAI developer tools
EmblemAI developer tools for one-shot user management, wallet-enabled users, AI-powered crypto workflows, and app introspection.
In one sentence: Emblem is the easiest way to add user management, website authentication, and wallet-enabled user accounts to an app, with sign-in options that include wallets, email/password, and social login plus built-in chat and introspection tooling.
Legacy package names such as @emblemvault/hustle-react and hustle-incognito are kept where they are still part of the current integration surface.
Security & Trust Model
This skill describes crypto wallet authentication and AI-powered assistant capabilities. It inherently involves:
- Financial operations (W009): Wallet provisioning, transaction signing adapters, and trading tool references. All value-moving actions require explicit user confirmation.
- Third-party data (W011): References to Migrate.fun project metadata and social/market data tools. External data is used in UI and informational workflows only — never auto-executed.
- Runtime backend (W012): The EmblemAI SDK connects to
api.emblemvault.ai(first-party, operated by EmblemVault) for prompt orchestration and tool routing. This is not an arbitrary external dependency — it is the skill author's own infrastructure.
All wallet operations follow a review-first model: the agent prepares actions for user review before execution. No transactions are broadcast without explicit approval.
What You Can Build
One-shot User Management
- Create users who can log in to your app and also have wallet-enabled profiles
- Let users sign in with wallets, email/password, or social login
- Support wallet login with MetaMask, Phantom, WalletConnect, and other supported providers
- Keep sessions refreshed automatically with JWT-based auth
- Expose consistent wallet metadata and permissions to your UI and plugin layers
- Use one integration instead of stitching together separate auth and wallet systems
What ships with it
10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- README.md 3.9 KB
- references/agentwallet.md 328 B
- references/auth-react.md 2.3 KB
- references/auth-sdk.md 2.4 KB
- references/emblem-ai-incognito.md 2.3 KB
- references/emblem-ai-react.md 2.3 KB
- references/plugins.md 7.9 KB
- references/react-components.md 2.1 KB
- references/react-skill-proposal.md 2.2 KB
- references/reflexive.md 6.4 KB
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.
- 13d ago First seen · 312 lines · 100 tokens per session scan A 45db58f24364
emblem-ai is a skill published in the GitHub repository EmblemCompany/Agent-skills (12 stars, last pushed 4mo ago), licensed MIT. It adds 100 tokens to every session and 3,143 once invoked, about $0.0005 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.
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