Fetch.ai Innovation Lab Examples is a collection of runnable Python projects demonstrating autonomous agents, multi-agent systems, and agent-based workflows. It is intended for beginners, builders, and hackathon participants working with technologies such as uAgents, ASI:One, Agentverse, MCP, A2A, LangChain, CrewAI, Gemini, Claude, and OpenAI.
Borrowing it
Nothing to install: this file belongs to fetchai/innovation-lab-examples. 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/fetchai/innovation-lab-examples/main/web3/internet-computer/.github/instructions/test.instructions.mdgit clone --depth 1 https://github.com/fetchai/innovation-lab-examplesWrote 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/fetchai/innovation-lab-examples/test)<a href="https://agentmods.dev/instructions/fetchai/innovation-lab-examples/test"><img src="https://agentmods.dev/badge/instructions/fetchai/innovation-lab-examples/test/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/fetchai/innovation-lab-examples/test"><img src="https://agentmods.dev/badge/instructions/fetchai/innovation-lab-examples/test.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 | $0.00226 | $0.00226 |
| Opus 5.5 | $0.00090 | $0.00090 |
| Sonnet 5.5 | $0.00045 | $0.00045 |
| Haiku 4.5 | $0.00023 | $0.00023 |
Grade A, and why
innovation-lab-examples test.instructions.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Writing Tests for Canister Functions
When writing tests for canister functions:
- Use Jest for canister testing
- Include setup, execution, and assertion phases in each test
- Test both happy path and error cases
- Use descriptive test names that explain the expected behavior
Example test structure:
it("should [expected consequence]", async () => {
// Setup
const testData = "world";
// Execute
const response = await fetch(`${origin}/db/update`, {
method: "POST",
headers: [["Content-Type", "application/json"]],
body: JSON.stringify({
hello: testData,
}),
});
const responseJson = await response.json();
// Assert
expect(responseJson).toEqual({ hello: "world" });
});
After writing the tests, check if the file has any errors:
npx tsc -p ic/tsconfig.json
Then check that they are all passing by executing:
npm test
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 · 48 lines · 226 tokens per session scan A 76da16a5482e
innovation-lab-examples test.instructions.md is an instructions file published in the GitHub repository fetchai/innovation-lab-examples (1,170 stars, last pushed 1mo ago), licensed MIT. It adds 226 tokens to every session, about $0.0009 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 2026-08-30.
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