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 initlabsai/vibekit --skill build-on-algorandgit clone --depth 1 https://github.com/initlabsai/vibekitWrote 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/initlabsai/vibekit/build-on-algorand)<a href="https://agentmods.dev/skills/initlabsai/vibekit/build-on-algorand"><img src="https://agentmods.dev/badge/skills/initlabsai/vibekit/build-on-algorand/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/initlabsai/vibekit/build-on-algorand"><img src="https://agentmods.dev/badge/skills/initlabsai/vibekit/build-on-algorand.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00090 | $0.01262 |
| Opus 5 | $0.00045 | $0.00631 |
| Sonnet 5 | $0.00018 | $0.00252 |
| Haiku 4.5 | $0.00009 | $0.00126 |
Grade A, and why
build-on-algorand 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 10d 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Build on Algorand
Build Algorand applications with TypeScript on both sides of the compilation boundary:
- Contract TypeScript is the restricted Algorand TypeScript language that PuyaTs compiles for the AVM. It is not general JavaScript.
- Client TypeScript runs off-chain and uses generated clients, AlgoKit Utils, algosdk, and wallet signers.
Preserve that boundary. Never copy off-chain libraries, asynchronous code, or ordinary JavaScript data models into a contract.
Start with the project
Read AGENTS.md, package.json, compiler configuration, and existing contract
and generated-client patterns before changing code. Use the project's pinned
dependencies and npm scripts. Do not introduce Python or the AlgoKit CLI, and
do not replace the project's stack or add a dependency when its existing tools
cover the task.
When working in a VibeKit-configured project, load use-vibekit for project
lifecycle, LocalNet, accounts, signing, network selection, deployment, and
on-chain operations. This skill covers the application code and design.
Choose the guide
| Task | Guide |
|---|---|
| Reason about applications, Logic Signatures, execution budgets, resources, fees, or protocol capabilities | AVM fundamentals |
| Write or review Algorand TypeScript contract types, methods, control flow, or ABI surfaces | PuyaTs contracts |
| Choose state, use boxes, inspect group transactions, or emit inner transactions | State and transactions |
| Generate or consume typed clients, test contracts, simulate calls, or debug failures | Clients and testing |
| Connect a browser wallet or pass a wallet signer to a generated client | Frontend wallets |
| Harden an implementation or perform an ordinary contract-safety review | Security |
| Move from TEALScript, Algorand TypeScript beta, ARC-32, or older client APIs | Migrations |
| Select an application, ASA, token, NFT, event, or multisig ARC | Standards |
| Orient a TypeScript client or resource server to x402 on Algorand | x402 |
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.
- ATTRIBUTION.md 1.4 KB
- references/avm-fundamentals.md 2.8 KB
- references/clients-and-testing.md 3.5 KB
- references/frontend-wallets.md 3.2 KB
- references/migrations.md 2.3 KB
- references/puyats-contracts.md 3.5 KB
- references/security.md 2.9 KB
- references/standards.md 3.2 KB
- references/state-and-transactions.md 4.5 KB
- references/x402.md 1.8 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.
- 10d ago First seen · 90 lines · 90 tokens per session scan A f1cc8c46a264
build-on-algorand is a skill published in the GitHub repository initlabsai/vibekit (27 stars, last pushed 7d ago), licensed MIT. It adds 90 tokens to every session and 1,262 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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