Borrowing it
Nothing to install: this file belongs to ShaheerKhawaja/ProductionOS. 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/ShaheerKhawaja/ProductionOS/main/AGENTS.mdgit clone --depth 1 https://github.com/ShaheerKhawaja/ProductionOSWrote 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/shaheerkhawaja/productionos/agents-md)<a href="https://agentmods.dev/instructions/shaheerkhawaja/productionos/agents-md"><img src="https://agentmods.dev/badge/instructions/shaheerkhawaja/productionos/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 5.1 | $0.01516 | $0.01516 |
| Opus 5 | $0.00758 | $0.00758 |
| Sonnet 5 | $0.00303 | $0.00303 |
| Haiku 4.5 | $0.00152 | $0.00152 |
Grade A, and why
ProductionOS 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 8d 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 — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Instructions for Codex agents operating on repositories managed by Shaheer Khawaja. ProductionOS is your engineering toolkit -- use it to audit, plan, build, test, and ship code.
Repository Classification
- Visibility: [PUBLIC / PRIVATE]
- Owner: ShaheerKhawaja
Identity
- Author: Shaheer Khawaja
- Email: [email protected]
- No Co-Authored-By lines. No AI attribution. Single author on all commits.
- No personal email in commits. No IP addresses, hostnames, or local paths in code.
Your Toolkit: ProductionOS
You have access to ProductionOS, an 80-agent AI engineering OS installed as a Claude Code plugin. It provides commands, quality gates, and self-evaluation. Use it -- do not reinvent what it already does.
10 Entry Points (Use These, Not Individual Skills)
| When You Need To | Run | What Happens |
|---|---|---|
| Plan a feature | /plan-ceo-review |
CEO vision review -> eng architecture review |
| Build something | /build |
TDD, guided, or orchestrated build |
| Review code | /unified-review |
6 review approaches (adversarial, graph, delta) |
| Debug a bug | /unified-debug |
Reproduce -> hypothesize -> test -> fix |
| Test the app | /qa |
Headless browser QA, health score 0-100 |
| Ship to production | /ship |
Self-eval -> review -> PR -> deploy |
| Security audit | /unified-security |
OWASP, STRIDE, attack trees, SAST |
| Research a topic | /research |
8-phase pipeline with citation verification |
| Write content | /unified-content |
Strategy -> research -> write -> audit |
| Review your session | /retro |
Metrics, action items, retrospective |
Never browse the full 367 skill list. These 10 route to the right sub-skill automatically.
Quality System (Auto-Enforced)
ProductionOS runs quality checks automatically. You do not need to invoke them manually.
Self-Eval Protocol (runs after every action):
- Quality -- was the work actually good? (1-10 with evidence)
- Necessity -- was this work needed? Any scope creep?
- Correctness -- re-read output. Errors? Regressions?
- Dependencies -- what else does this touch?
- Completeness -- edge cases handled? TODOs resolved?
- Learning -- patterns to remember?
- Honesty -- inflating the score?
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.
- 8d ago First seen · 149 lines · 1,516 tokens per session scan A 71b01060e743
ProductionOS AGENTS.md is an instructions file published in the GitHub repository ShaheerKhawaja/ProductionOS (8 stars, last pushed 4mo ago), licensed MIT. It adds 1,516 tokens to every session, about $0.0076 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
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.
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 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).
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.
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.