productionos

productionos is a skill for Claude Code from ShaheerKhawaja/ProductionOS. It costs 39 tokens per session (782 once invoked), scanned A, original, MIT.

An operating system of workflows and automated checks for AI-assisted software engineering. It provides agents, commands, and hooks for reviewing, planning, auditing, and improving a repository.

In plain words
What is it for?
It supports upgrades, code reviews, product and engineering planning, security audits, user-experience audits, and repeated quality improvement across a codebase.
Why use it?
It gives coding agents a shared process for handling repo-wide engineering work, from product and architecture decisions through security and quality checks.

Skill for Claude Code

Written for Claude Code: Claude Code plugin machinery. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions Codex.

Part of the productionos plugin — 4 skills, 41 commands, 11 agents shipped together

Good fit It supports upgrades, code reviews, product and engineering planning, security audits, user-experience audits, and repeated quality improvement across a codebase.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/shaheerkhawaja/productionos/productionos
Install

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.

Any agent
npx skills add ShaheerKhawaja/ProductionOS --skill productionos
Clone the repo
git clone --depth 1 https://github.com/ShaheerKhawaja/ProductionOS

Made for: Claude Code.

Or install productionos, the plugin that ships this one along with the rest of its 4 skills, 41 commands, 11 agents.

Wrote 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.

agentmods badge for productionos

README.md
[![agentmods](https://agentmods.dev/badge/skills/shaheerkhawaja/productionos/productionos/github.svg)](https://agentmods.dev/skills/shaheerkhawaja/productionos/productionos)
Your own site
<a href="https://agentmods.dev/skills/shaheerkhawaja/productionos/productionos"><img src="https://agentmods.dev/badge/skills/shaheerkhawaja/productionos/productionos/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.

agentmods 80×15 button for productionos

Your own site · 80×15
<a href="https://agentmods.dev/skills/shaheerkhawaja/productionos/productionos"><img src="https://agentmods.dev/badge/skills/shaheerkhawaja/productionos/productionos.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 782 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00039 $0.00782
Opus 5 $0.00019 $0.00391
Sonnet 5 $0.00008 $0.00156
Haiku 4.5 $0.00004 $0.00078

Measured 11d ago against content hash 924ae62d5d87, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

productionos 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 11d 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.

.claude/skills/productionos/SKILL.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ProductionOS

ProductionOS is a dual-target AI engineering operating system with 80 agents, 41 commands, and 18 hooks.

Use this skill to translate the Claude-oriented workflow specs in this repo into Codex-native execution.

Start Here

  1. Read README.md for the product overview and CLAUDE.md for the current command catalog.
  2. Treat .claude/commands/*.md as workflow specs, not literal Codex slash commands.
  3. Use docs/CODEX-PARITY-HANDOFF.md as the source of truth for target support and parity coverage.
  4. Load only the agent files in agents/ that matter for the chosen workflow.
  5. Use templates/ and prompts/ only when the selected command or agent points to them.

Codex Workflow Mapping

  • production-upgrade — Run a repo audit, prioritize high-leverage defects, implement bounded fixes, then validate before reporting.
  • review — Use Codex in review mode and report concrete findings before summaries.
  • plan-ceo-review — Challenge scope, tighten user value, and surface expansion opportunities explicitly.
  • plan-eng-review — Lock architecture, trust boundaries, error paths, and test coverage before implementation.
  • security-audit — Inspect auth, secrets, input handling, and deployment risk with findings-first output.
  • designer-upgrade — Build a UX audit and redesign plan, then route into interface work when needed.
  • ux-genie — Map user flows, identify friction, and translate findings into concrete improvements.
  • auto-swarm — Run the workflow serially by default in Codex, or delegate only when the user explicitly wants parallel work.
  • auto-swarm-nth — Repeat swarm-style execution until gaps close, while translating agent waves into Codex-native orchestration.
  • omni-plan — Chain the major review and execution patterns in a Codex-native sequence without Claude-only assumptions.
  • omni-plan-nth — Iterate the full orchestration loop until quality targets are met or clearly plateau.

Guardrails

  • Do not claim Claude-only hooks, slash commands, or marketplace flows can run directly in Codex.
  • Keep work scoped; do not emulate large multi-agent swarms unless the user explicitly wants that overhead.
  • Respect the repo's guardrails in hooks/, .claude-plugin/, .codex-plugin/, and templates/.
  • For packaging or install questions, inspect .claude-plugin/plugin.json, .claude-plugin/marketplace.json, .codex-plugin/plugin.json, package.json, and README.md.

Read the full file on GitHub · 65 lines

Changes

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.

  1. 11d ago First seen · 65 lines · 39 tokens per session scan A 924ae62d5d87

Subscribe to this mod's changes

productionos is a skill published in the GitHub repository ShaheerKhawaja/ProductionOS (8 stars, last pushed 4mo ago), licensed MIT. It adds 39 tokens to every session and 782 once invoked, about $0.0002 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.

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