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 nik-kale/sre-skills --skill production-readinessgit clone --depth 1 https://github.com/nik-kale/sre-skillsWrote 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/nik-kale/sre-skills/production-readiness)<a href="https://agentmods.dev/skills/nik-kale/sre-skills/production-readiness"><img src="https://agentmods.dev/badge/skills/nik-kale/sre-skills/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/nik-kale/sre-skills/production-readiness"><img src="https://agentmods.dev/badge/skills/nik-kale/sre-skills/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 | $0.00048 | $0.01431 |
| Opus 5.5 | $0.00019 | $0.00572 |
| Sonnet 5.5 | $0.00010 | $0.00286 |
| Haiku 4.5 | $0.00005 | $0.00143 |
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 2mo 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 — 271 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Production Readiness
Systematic checklist to ensure services are ready for production deployment.
When to Use This Skill
- Preparing a new service for production launch
- Go-live readiness review
- Production deployment checklist needed
- Assessing service maturity
- Pre-launch security review
Quick Readiness Assessment
Copy and complete this checklist:
Production Readiness Assessment:
Service: _______________
Date: _________________
Reviewer: _____________
Reliability: [ ] Pass [ ] Partial [ ] Fail
Observability: [ ] Pass [ ] Partial [ ] Fail
Security: [ ] Pass [ ] Partial [ ] Fail
Operations: [ ] Pass [ ] Partial [ ] Fail
Documentation: [ ] Pass [ ] Partial [ ] Fail
Overall Status: [ ] Ready [ ] Conditional [ ] Not Ready
Reliability Checklist
SLOs Defined
SLO Checklist:
- [ ] Availability SLO defined (e.g., 99.9%)
- [ ] Latency SLO defined (e.g., p99 < 200ms)
- [ ] Error rate SLO defined (e.g., < 0.1%)
- [ ] SLOs documented and communicated
- [ ] Error budget policy established
Fault Tolerance
Fault Tolerance:
- [ ] No single points of failure
- [ ] Graceful degradation implemented
- [ ] Circuit breakers for dependencies
- [ ] Retry logic with exponential backoff
- [ ] Timeouts configured for all external calls
- [ ] Rate limiting in place
Capacity
Capacity Planning:
- [ ] Load tested to 2x expected peak
- [ ] Auto-scaling configured (if applicable)
- [ ] Resource limits set (CPU, memory)
- [ ] Connection pool sizes appropriate
- [ ] Queue capacity sufficient
Data Resilience
Data Protection:
- [ ] Backups configured and tested
- [ ] Backup restoration tested
- [ ] Data replication in place
- [ ] RPO/RTO defined and achievable
- [ ] No data loss on service restart
Observability Checklist
Metrics
Metrics:
- [ ] RED metrics exposed (Rate, Errors, Duration)
- [ ] Resource metrics available (CPU, memory, disk)
- [ ] Business metrics tracked
- [ ] Dependency health metrics
- [ ] Custom metrics for key operations
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 271 lines · 48 tokens per session scan A 037fb48fc690
production-readiness is a skill published in the GitHub repository nik-kale/sre-skills (12 stars, last pushed 9mo ago), licensed MIT. It adds 48 tokens to every session and 1,431 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 2026-08-31.
production-readiness compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| production-readinessnik-kale/sre-skills | Skill | 12 | 9mo ago | MIT | A | 48 | Claude Code, Codex |
| gke-compute-classesgoogle/skills | Skill | 22k | yesterday | Apache-2.0 | A | 83 | Claude Code, Codex |
| gke-reliabilitygoogle/skills | Skill | 22k | yesterday | Apache-2.0 | A | 85 | Claude Code, Codex |
| gke-workload-securitygoogle/skills | Skill | 22k | yesterday | Apache-2.0 | A | 171 | Claude Code, Codex |
| cloud-architectJeffallan/claude-skills | Skill | 12k | 7d ago | MIT | A | 71 | Claude Code |
| nemo-automodel-launcher-configNVIDIA/skills | Skill | 3.9k | yesterday | Apache-2.0 | A | 30 | Claude Code |
| azure-mgmt-botservice-dotnetmicrosoft/skills | Skill | 3.2k | yesterday | MIT | A | 78 | Claude Code |