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 skills/txnlab/skills/nfdnpx skills add TxnLab/skills --skill nfdgit 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/skills/txnlab/skills/nfd)<a href="https://agentmods.dev/skills/txnlab/skills/nfd"><img src="https://agentmods.dev/badge/skills/txnlab/skills/nfd.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 | $0.00117 | $0.01005 |
| Opus 5 | $0.00059 | $0.00502 |
| Sonnet 5 | $0.00023 | $0.00201 |
| Haiku 4.5 | $0.00012 | $0.00101 |
Grade A, and why
nfd 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 4d 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NFDomains (NFD)
NFDomains are human-readable names (e.g., alice.algo) on the Algorand blockchain. Each NFD is a smart contract that maps a .algo name to wallet addresses, metadata, and a vault account.
Package
@txnlab/nfd-sdk — TypeScript SDK for on-chain NFD operations. Requires algosdk as a peer dependency.
npm install @txnlab/nfd-sdk algosdk
The SDK uses AlgoKit typed clients to interact with NFD contracts directly on-chain. It also exposes nfd.api for search operations that require off-chain indexing.
A REST API exists at https://api.nf.domains (TestNet: https://api.testnet.nf.domains), but the SDK is preferred for all operations it supports.
NfdClient Initialization
import { NfdClient } from '@txnlab/nfd-sdk'
const nfd = new NfdClient() // MainNet (default)
const nfd = NfdClient.mainNet() // MainNet (explicit)
const nfd = NfdClient.testNet() // TestNet
Custom configuration:
import { NfdClient, NfdRegistryId } from '@txnlab/nfd-sdk'
import { AlgorandClient } from '@algorandfoundation/algokit-utils'
const nfd = new NfdClient({
algorand: AlgorandClient.mainNet(),
registryId: NfdRegistryId.MAINNET, // 760937186
})
For write operations (mint, buy, manage), set a signer:
const signedClient = nfd.setSigner(activeAddress, transactionSigner)
Key Concepts
- Forward resolution: Name → address (
nfd.resolve('alice.algo')) - Reverse lookup: Address → name (
nfd.resolveAddress(address)) - Views:
tiny(minimal),brief(default),full(all properties) - depositAccount: The safe address to send assets to (resolves verified → unverified → owner)
- caAlgo: Array of verified linked Algorand addresses
- unverifiedCaAlgo: Array of unverified linked addresses
- nfdAccount: The NFD's vault (contract-controlled Algorand account)
- Segments: Subdomains like
sub.root.algo, minted from a root NFD
Reference Files
Read the appropriate file based on the task:
What ships with it
11 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.
- references/api-reference.md 9.8 KB
- references/getting-started.md 2.3 KB
- references/images.md 2.7 KB
- references/integration.md 5.4 KB
- references/managing.md 5.1 KB
- references/minting.md 4.2 KB
- references/purchasing.md 3.8 KB
- references/resolve.md 3.9 KB
- references/search.md 4.4 KB
- references/segments.md 4.1 KB
- references/vaults.md 3.5 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.
- 4d ago First seen · 93 lines · 117 tokens per session scan A bda20e1a5efb
nfd is a skill published in the GitHub repository TxnLab/skills (6 stars, last pushed 6mo ago), licensed MIT. It adds 117 tokens to every session and 1,005 once invoked, about $0.0006 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 2026-08-31.
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