Borrowing it
Nothing to install: this file belongs to atmosware/cognia-agents. 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/atmosware/cognia-agents/main/AGENTS.mdgit clone --depth 1 https://github.com/atmosware/cognia-agentsWrote 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/atmosware/cognia-agents/agents-md)<a href="https://agentmods.dev/instructions/atmosware/cognia-agents/agents-md"><img src="https://agentmods.dev/badge/instructions/atmosware/cognia-agents/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/atmosware/cognia-agents/agents-md"><img src="https://agentmods.dev/badge/instructions/atmosware/cognia-agents/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 | $0.00794 | $0.00794 |
| Opus 5.5 | $0.00318 | $0.00318 |
| Sonnet 5.5 | $0.00159 | $0.00159 |
| Haiku 4.5 | $0.00079 | $0.00079 |
Grade A, and why
cognia-agents 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cognia — Agent Roster
Single source of truth: All agent definitions live in
.github/agents/*.agent.md. This file is the discovery index for OpenAI Codex. Before executing any agent task, read the corresponding.github/agents/<name>.agent.mdfile and follow every instruction defined there.
Agent Index
| Agent | Canonical Definition | Domain | Trigger |
|---|---|---|---|
| cognia-adr | .github/agents/cognia-adr.agent.md |
Architecture decision records | Interactive ADR interview, challenge, and deviation logging |
| cognia-android | .github/agents/cognia-android.agent.md |
Android mobile | Android codebase audit |
| cognia-arch | .github/agents/cognia-arch.agent.md |
System architecture | Architecture & design analysis |
| cognia-asdd | .github/agents/cognia-asdd.agent.md |
System design documentation | Interactive ASDD interview across 22 sections, optional draw.io diagrams |
| cognia-perf | .github/agents/cognia-perf.agent.md |
Performance analysis | Performance bottleneck & improvement audit |
| cognia-review | .github/agents/cognia-review.agent.md |
Code review (changeset) | Deep PR / branch / changeset review with Change Risk Score |
| cognia-reverse | .github/agents/cognia-reverse.agent.md |
Reverse engineering | Business domain & workflow extraction for BA/PO audiences |
| cognia-test | .github/agents/cognia-test.agent.md |
Test engineering | Coverage audit, missing test identification & test backlog |
| cognia-sec | .github/agents/cognia-sec.agent.md |
Security analysis | Vulnerability audit & remediation recommendations |
| cognia-backend | .github/agents/cognia-backend.agent.md |
Backend / API | Backend & API audit |
| cognia-frontend | .github/agents/cognia-frontend.agent.md |
Frontend / Web | Frontend & web audit |
| cognia-ios | .github/agents/cognia-ios.agent.md |
iOS mobile | iOS codebase audit |
| cognia-po | .github/agents/cognia-po.agent.md |
Product ownership | Product & feature analysis |
| cognia-tech | .github/agents/cognia-tech.agent.md |
Technical quality | Code quality & tech debt |
| cognia-ux | .github/agents/cognia-ux.agent.md |
UI/UX audit | UX & accessibility audit of existing UI |
| cognia-ux-design | .github/agents/cognia-ux-design.agent.md |
UI/UX design | Wireframes, design system, tokens & developer handoff for new or redesigned UIs |
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 · 49 lines · 794 tokens per session scan A 9e06580b33c0
cognia-agents AGENTS.md is an instructions file published in the GitHub repository atmosware/cognia-agents (3 stars, last pushed 1mo ago), licensed MIT. It adds 794 tokens to every session, about $0.0032 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 2026-08-31.
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.
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).
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.