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 skills add caiaffa/claude-code-ultimate-engineering-system --skill production-readinessgit clone --depth 1 https://github.com/caiaffa/claude-code-ultimate-engineering-systemWrote 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/skills/caiaffa/claude-code-ultimate-engineering-system/production-readiness)<a href="https://agentmods.dev/skills/caiaffa/claude-code-ultimate-engineering-system/production-readiness"><img src="https://agentmods.dev/badge/skills/caiaffa/claude-code-ultimate-engineering-system/production-readiness/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/skills/caiaffa/claude-code-ultimate-engineering-system/production-readiness"><img src="https://agentmods.dev/badge/skills/caiaffa/claude-code-ultimate-engineering-system/production-readiness.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 | $0.00042 | $0.00484 |
| Opus 5.5 | $0.00017 | $0.00194 |
| Sonnet 5.5 | $0.00008 | $0.00097 |
| Haiku 4.5 | $0.00004 | $0.00048 |
Grade A, and why
production-readiness 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 1mo 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.
What it actually says
Mission
Verify a service can be run, scaled, and recovered in production — not just that the code works.
When to use
- Before launching a new service or major feature.
- Periodic service health / scorecard review.
Handoff
- Receives from: release-planning or reliability-engineer.
- Hands off to: reliability-engineer (gaps with severity).
Operational excellence
- Every service has a runbook. Every alert maps to an action.
- Health checks: liveness and readiness, distinct and meaningful.
- Graceful shutdown and startup ordering handled.
- Configuration via environment, secrets never in code.
- SLIs/SLOs defined with concrete numbers (see observability skill).
Capacity & scaling
- Known load profile: expected and peak RPS, growth rate.
- Resource requests/limits set from measured usage, not guesses.
- Autoscaling signal is the real bottleneck (CPU, queue depth), not a proxy.
- A failure-mode plan for the dependency that saturates first.
Infrastructure (Kubernetes / AWS)
- Pods: requests/limits set; no single point of failure; PodDisruptionBudget for critical workloads.
- Rollout strategy is safe (rolling/canary); probes tuned so a slow start isn't killed.
- IAM least-privilege; no wildcard permissions.
- Stateful dependencies (DB, cache, queue) have defined failover behavior.
- Cost: right-sized instances, no idle over-provisioning (cross-check engineering-economics).
Service scorecard
Evaluate against ~/.claude/engineering/SERVICE_SCORECARD.md section by section; report each as pass / gap / blocker.
Red flags
- No runbook. Alert with no action. Resource limits unset.
- Autoscaling on a proxy metric. Wildcard IAM. No failover plan for a stateful dependency.
Output
# PRODUCTION READINESS
Overall: READY | READY WITH GAPS | NOT READY
Gaps by severity (blocker / high / medium) with specific fixes
Scorecard section results
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.
- 1mo ago First seen · 52 lines · 42 tokens per session scan A 99b20a74f97a
production-readiness is a skill published in the GitHub repository caiaffa/claude-code-ultimate-engineering-system (17 stars, last pushed 1mo ago), licensed MIT. It adds 42 tokens to every session and 484 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-15.
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