Borrowing it
Nothing to install: this file belongs to thefrontside/effection. 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/thefrontside/effection/v4/AGENTS.mdgit clone --depth 1 https://github.com/thefrontside/effectionWrote 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/thefrontside/effection/agents-md)<a href="https://agentmods.dev/instructions/thefrontside/effection/agents-md"><img src="https://agentmods.dev/badge/instructions/thefrontside/effection/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/thefrontside/effection/agents-md"><img src="https://agentmods.dev/badge/instructions/thefrontside/effection/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 | $0.00455 | $0.00455 |
| Opus 5.5 | $0.00182 | $0.00182 |
| Sonnet 5.5 | $0.00091 | $0.00091 |
| Haiku 4.5 | $0.00046 | $0.00046 |
Grade A, and why
effection 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 1mo 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
AGENTS.md — Effection repository contract
This file is for AI agents contributing to the Effection repository. It adds repository-only rules on top of the public behavioral contract, which it does not repeat.
Before you modify or reason about Effection code, read the public contract in
docs/agents.md, the copy checked out on this branch. The
website publishes the same document at
https://frontside.com/effection/AGENTS.md. It holds the invariants: operations
versus promises, scope ownership, tasks and halting, context, the concurrency
operations, promise interoperability, resources and cleanup, ensure(),
useAbortSignal(), and streams.
Instructions scoped to a subdirectory, such as www/AGENTS.md
for the website, apply in addition to this file.
Code style
- Always use braces for
ifstatements. No bare/bracelessifblocks.
Commit and PR conventions
Use gitmoji for commit and pull request subjects. For changes to files that direct the behavior of AI such as AGENTS.md or llms.txt use a robot emoji instead of the standard gitmoji for documentation
Do not include any agent marketing material (e.g. "Generated with...", "Co-Authored-By: <agent>") in commits, pull requests, issues, or comments.
Pre-commit workflow
Before committing any changes to this repository:
- Run
deno fmtto format all changed files - Run
deno lintto check for lint errors (TypeScript files only) - Fix any issues before committing
This applies to all file types that Deno formats (TypeScript, JavaScript,
Markdown, JSON, etc.). The www/ subdirectory follows the same rules.
Pull requests
When creating a pull request, use the template at
.github/pull_request_template.md. The PR description must include:
- Motivation — describe the problem or feature request the PR addresses.
- Approach — provide a brief summary of the changes made.
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.
- 1mo ago Changed · +2 lines · +24 tokens per session 46ce23d0a740
- 1mo ago Changed · -457 lines · -3,606 tokens per session 0fe3b0c1ea0d
- 1mo ago Changed · +46 lines · +407 tokens per session 6a235ecb6cbc
- 2mo ago First seen · 458 lines · 3,630 tokens per session scan A 8500360c3944
effection AGENTS.md is an instructions file published in the GitHub repository thefrontside/effection (865 stars, last pushed 4d ago), licensed MIT. It adds 455 tokens to every session, about $0.0018 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.
effection AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| effection AGENTS.mdthefrontside/effection | Instructions file | 865 | 4d ago | MIT | A | 455 | 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 | today | 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 |