Borrowing it
Nothing to install: this file belongs to tim-smart/effect-mcp. 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/tim-smart/effect-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/tim-smart/effect-mcpWrote 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/tim-smart/effect-mcp/agents-md)<a href="https://agentmods.dev/instructions/tim-smart/effect-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/tim-smart/effect-mcp/agents-md/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/tim-smart/effect-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/tim-smart/effect-mcp/agents-md.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 | $0.03645 | $0.03645 |
| Opus 5.5 | $0.01458 | $0.01458 |
| Sonnet 5.5 | $0.00729 | $0.00729 |
| Haiku 4.5 | $0.00364 | $0.00364 |
Grade A, and why
effect-mcp 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 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.
How it starts
The opening of the file, as written. The whole thing — 472 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Writing Effect Guide
Pre-requisites
- Have the Effect MCP server installed and running.
npx -y effect-mcp@latest
Critical information
Important: When requiring more information about Effect, use the effect_docs_search MCP
tool. It is an authoritative source of information about Effect and its
ecosystem.
Writing basic Effect's
Prefer Effect.gen when writing Effect's. It is a powerful way to create
an Effect in a async/await style, which is more readable and maintainable.
import { Effect, Random } from "effect"
Effect.gen(function* () {
// Use `yield*` to run another Effect
yield* Effect.sleep("1 second")
const bool = yield* Random.nextBoolean
if (bool) {
// When failing with Effect.fail/die etc. always use `return yield*` so
// TypeScript can correctly narrow conditional types
return yield* Effect.fail("Random boolean was true")
}
// You can return a success value directly
return "Returned value"
}).pipe(
// You can use the `pipe` method to add additional operations
Effect.withSpan("tracing span"),
)
Writing Effect functions
If you need to write a function that returns an Effect, prefer using
Effect.fn. It allows you to use the yield* syntax inside the function body,
and also add a span for observability.
import { Effect, Random } from "effect"
const myEffectFn = Effect.fn("myEffectFn")(
function* (x: number, y: number) {
const bool = yield* Random.nextBoolean
if (bool) {
// When failing with Effect.fail/die etc. always use `return yield*` so
// TypeScript can correctly narrow conditional types
return yield* Effect.fail("Random boolean was true")
}
return x + y
},
// You can add "pipe" operations as additional arguments
Effect.annotateLogs({
some: "annotation",
}),
// You can also access the arguments of the function in pipe operations
(effect, x, y) => Effect.annotateLogs(effect, { x, y }),
)
// call the Effect function
myEffectFn(1, 2).pipe(Effect.runPromise)
// You can also omit the function span name if you don't need it
const withNoSpan = Effect.fn(function* (x: number, y: number) {
yield* Effect.log("Calculating sum", { x, y })
return x + y
})
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 · 472 lines · 3,645 tokens per session scan A 25973e5c91d6
effect-mcp AGENTS.md is an instructions file published in the GitHub repository tim-smart/effect-mcp (238 stars, last pushed 8mo ago), licensed MIT. It adds 3,645 tokens to every session, about $0.0146 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.
effect-mcp AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| effect-mcp AGENTS.mdtim-smart/effect-mcp | Instructions file | 238 | 8mo ago | MIT | A | 3,645 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |