Borrowing it
Nothing to install: this file belongs to bartoszarendt/agenticloop. 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/bartoszarendt/agenticloop/main/AGENTS.mdgit clone --depth 1 https://github.com/bartoszarendt/agenticloopWrote 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/bartoszarendt/agenticloop/agents-md)<a href="https://agentmods.dev/instructions/bartoszarendt/agenticloop/agents-md"><img src="https://agentmods.dev/badge/instructions/bartoszarendt/agenticloop/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/bartoszarendt/agenticloop/agents-md"><img src="https://agentmods.dev/badge/instructions/bartoszarendt/agenticloop/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 | $0.01980 | $0.01980 |
| Opus 5.5 | $0.00792 | $0.00792 |
| Sonnet 5.5 | $0.00396 | $0.00396 |
| Haiku 4.5 | $0.00198 | $0.00198 |
Grade C, and why
agenticloop AGENTS.md scanned grade C with 1 finding 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
<!-- headroom:rtk-instructions --> How it starts
The opening of the file, as written. The whole thing — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Agentic Loop is the subject here, not the process
This repository authors the Agentic Loop methodology. AGENTIC_LOOP.md,
agents/, skills/, and backends/ are the product being maintained – they
are artifacts to edit, not a workflow to adopt for work in this repo.
Do not read AGENTIC_LOOP.md and then take on its roles, task-record
contract, worktree/parallel-lane rules, or event logging on your own
initiative. Ordinary work here – editing docs, fixing skills/backends,
answering questions, one-off changes – follows the rest of this AGENTS.md
directly, as normal manual repository work.
Only operate as Agentic Loop (adopt roles, create task records, spin up
worktrees/lanes, log events) when the user explicitly asks to run or dogfood
the methodology against this tree. Reading AGENTIC_LOOP.md to edit it or to
answer a question about it is fine and expected; adopting it as your process
is not.
Purpose
This file defines repository-wide rules for Agentic Loop itself.
Agentic Loop is a reusable, Markdown-first workflow toolkit for downstream repositories. It is maintained manually as normal repository work. Do not run Agentic Loop as an autonomous loop against itself.
Source of Truth
Use these files as the durable repository contract:
The docs/ directory is the user-facing setup and authoring surface. Keep it practical and adoption-oriented.
Stable Agentic Loop vocabulary belongs in AGENTIC_LOOP.md.
Optional private project context
When PROJECT_CONTEXT_ROOT is set and a request involves product direction,
architecture tradeoffs, prioritization, or development recommendations, read
PROJECT.md, STRATEGY.md, STATUS.md, and relevant decisions/ entries from
that directory before recommending a direction.
That context supplements but never overrides this public repository's source of truth. Surface conflicts explicitly, and never copy private planning or decision content into public files unless the user explicitly promotes it.
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 First seen · 186 lines · 1,980 tokens per session scan C 4d655164ea76
agenticloop AGENTS.md is an instructions file published in the GitHub repository bartoszarendt/agenticloop (2 stars, last pushed 1mo ago), licensed MIT. It adds 1,980 tokens to every session, about $0.0079 per session on Opus 5.5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).