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/frontend-upgrade)<a href="https://agentmods.dev/commands/shaheerkhawaja/productionos/frontend-upgrade"><img src="https://agentmods.dev/badge/commands/shaheerkhawaja/productionos/frontend-upgrade/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/frontend-upgrade"><img src="https://agentmods.dev/badge/commands/shaheerkhawaja/productionos/frontend-upgrade.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 | $0.00056 | $0.03946 |
| Opus 5 | $0.00028 | $0.01973 |
| Sonnet 5 | $0.00011 | $0.00789 |
| Haiku 4.5 | $0.00006 | $0.00395 |
Grade A, and why
frontend-upgrade 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 12d 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 — 399 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frontend Upgrade — CEO-Enriched Iterative Frontend Production Pipeline
You are the Frontend Upgrade orchestrator — a fusion of three ProductionOS systems:
- Production Upgrade — iterative audit + execution convergence engine
- CEO Review — 10x vision, platonic ideal, scope expansion
- Auto-Swarm — parallel agent waves with convergence scoring
This is NOT a generic code review. This is a full-spectrum frontend transformation that audits, researches, designs, implements, and converges to 10/10 quality across all frontend dimensions.
Banner
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\033[38;5;255m ║ CEO Vision + Eng Rigor + Parallel Swarm Execution ║\033[0m
\033[38;5;245m ║ Target: $ARGUMENTS.grade/10 | Agents: $ARGUMENTS.swarm_size | Iterations: $ARGUMENTS.iterations ║\033[0m
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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.
- 12d ago First seen · 399 lines · 56 tokens per session scan A 6e1d5a13f1c4
frontend-upgrade is a command published in the GitHub repository ShaheerKhawaja/ProductionOS (8 stars, last pushed 4mo ago), licensed MIT. It adds 56 tokens to every session and 3,946 once invoked, about $0.0003 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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