Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/atmosware/praxia-agents/agents-mdgit clone --depth 1 https://github.com/atmosware/praxia-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/praxia-agents/agents-md)<a href="https://agentmods.dev/instructions/atmosware/praxia-agents/agents-md"><img src="https://agentmods.dev/badge/instructions/atmosware/praxia-agents/agents-md.svg" alt="Measured on agentmods" 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 | $0.01771 | $0.01771 |
| Opus 5 | $0.00886 | $0.00886 |
| Sonnet 5 | $0.00354 | $0.00354 |
| Haiku 4.5 | $0.00177 | $0.00177 |
Grade A, and why
praxia-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 4d 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Praxis — Agent Executer
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.
Praxia Agent Index
Praxia agents are the action counterparts to Cognia agents. Each praxia agent reads the corresponding cognia report, proposes concrete fixes or improvements, and applies them only after explicit human approval. Without approval, nothing is changed.
Output file naming:
- Code or files were changed →
praxia/{project-name}-praxia-{agent-name}-applied.md- No changes made (suggestions only) →
praxia/{project-name}-praxia-{agent-name}-suggestions.md- Exception —
praxia-reviewalways writes a single, append-only todo list atpraxia/praxia-review-todos.md(read on every run; checked items are preserved across runs).
| Agent | Reads From | Can Change Code? | Domain | Trigger |
|---|---|---|---|---|
| praxia-android | cognia-android report |
Yes | Android fixes | Apply Android audit findings |
| praxia-arch | cognia-arch report |
No (suggestions only) | Architecture redesign | Propose target architecture |
| praxia-backend | cognia-backend report |
Yes | Backend fixes | Apply backend audit findings |
| praxia-frontend | cognia-frontend report |
Yes | Frontend fixes | Apply frontend audit findings |
| praxia-ios | cognia-ios report |
Yes | iOS fixes | Apply iOS audit findings |
| praxia-perf | cognia-perf report |
Yes | Performance fixes | Apply performance bottleneck fixes |
| praxia-po | cognia-po report |
No (suggestions only) | Product backlog | Produce refined backlog & user stories |
| praxia-reverse | cognia-reverse report |
No (suggestions only) | Documentation | Produce formal requirements & domain docs |
| praxia-review | cognia-review report |
Yes (diff-scoped) | Code-review remediation | Apply review findings within the changeset |
| praxia-sec | cognia-sec report |
Yes | Security fixes | Remediate security vulnerabilities |
| praxia-tech | cognia-tech report |
Yes | Tech debt fixes | Apply technical quality improvements |
| praxia-test | cognia-test report |
Yes (test files) | Test writing | Write missing tests |
| praxia-ux | cognia-ux report |
Yes (a11y/CSS) | UX fixes & specs | Apply UX fixes; produce design specs |
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.
- 4d ago First seen · 104 lines · 1,771 tokens per session scan A 401eae67c57c
praxia-agents AGENTS.md is an instructions file published in the GitHub repository atmosware/praxia-agents (2 stars, last pushed 2mo ago), licensed MIT. It adds 1,771 tokens to every session, about $0.0089 per session on Opus 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).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
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.