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.
git 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/commands/shaheerkhawaja/productionos/productionos-help)<a href="https://agentmods.dev/commands/shaheerkhawaja/productionos/productionos-help"><img src="https://agentmods.dev/badge/commands/shaheerkhawaja/productionos/productionos-help/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/commands/shaheerkhawaja/productionos/productionos-help"><img src="https://agentmods.dev/badge/commands/shaheerkhawaja/productionos/productionos-help.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 | $0.00026 | $0.01685 |
| Opus 5 | $0.00013 | $0.00843 |
| Sonnet 5 | $0.00005 | $0.00337 |
| Haiku 4.5 | $0.00003 | $0.00169 |
Grade A, and why
productionos-help 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 10d 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 — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ProductionOS — Usage Guide
Getting Started
ProductionOS v1.0.0-beta.1 is your AI engineering team — 80 agents, 41 commands, 17 hooks, 6 CLI tools, and dual Claude/Codex targets. Here's how to use it effectively.
What's New in v1.0
- Always-present hooks — Security scan on auth/payment files, telemetry on every edit, review hints after 10+ changes, session handoff on exit
- CLI tools —
pos-init,pos-config,pos-analytics,pos-update-check - Auto-activating skills — Skills trigger based on file patterns (auth → security-scan, .tsx → frontend-audit)
- Continuous learning — Extracts patterns from sessions, builds instincts with confidence scoring
/frontend-upgrade— CEO vision + parallel swarm for frontend transformation
Step 0: Preamble
All ProductionOS commands run the shared preamble (templates/PREAMBLE.md) before execution. This includes environment check, prior work discovery, agent resolution, cost estimation, and prompt injection defense.
Quick Reference
COMMAND WHEN TO USE
/production-upgrade Audit and improve any codebase (start here)
/omni-plan Full 13-step pipeline for major work
/omni-plan-nth Recursive perfection — loops until 10/10
/auto-swarm "task" Throw agents at any task in parallel
/auto-swarm-nth "task" Recursive swarm until 100% coverage
/max-research "topic" 500-1000 agents — exhaustive research (nuclear)
/deep-research "topic" Research anything before building
/agentic-eval Evaluate quality with CLEAR framework
/security-audit 7-domain security deep-dive
/context-engineer Build token-optimized context packages
/logic-mode "idea" Validate a business idea
/learn-mode "topic" Interactive code tutor
/productionos-pause Save pipeline state for later
/productionos-resume Resume from checkpoint
/productionos-update Update to latest version
/frontend-upgrade CEO-enriched frontend transformation
/productionos-help This guide
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.
- 10d ago First seen · 164 lines · 26 tokens per session scan A 7e52a449c9a7
productionos-help is a command published in the GitHub repository ShaheerKhawaja/ProductionOS (8 stars, last pushed 4mo ago), licensed MIT. It adds 26 tokens to every session and 1,685 once invoked, about $0.0001 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 commands, from other repositories
settings
View or edit fellowship configuration (/.claude/fellowship.json). Run /settings to see current settings, change values, or reset to defaults.
validate-docs
Validate that site and README documentation is current. Report-only — flags issues without modifying anything.
guide
Interactive guide to fellowship. Walks you through a real task using the structured research-plan-implement flow, then shows you what's next.
rekindle
Recover a fellowship after a session crash. Scans worktrees and quest state, presents a recovery dashboard, and re-spawns Gandalf with recovered quest context. Use when returning to a crashed or expired fellowship session.
chronicle
One-time codebase onboarding — interactively extracts your team's conventions, identifies reference files, and generates CLAUDE.md sections so Claude codes the way your team does. Run once per project.
scribe
Create a reusable quest template for a specific type of task (e.g., "API endpoint", "migration"). Encodes project-specific rules and conventions into phase guidance that loads automatically during quests.