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 san-npm/skills-ws --skill docker-productiongit clone --depth 1 https://github.com/san-npm/skills-wsWrote 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/san-npm/skills-ws/docker-production)<a href="https://agentmods.dev/skills/san-npm/skills-ws/docker-production"><img src="https://agentmods.dev/badge/skills/san-npm/skills-ws/docker-production/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/san-npm/skills-ws/docker-production"><img src="https://agentmods.dev/badge/skills/san-npm/skills-ws/docker-production.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 | $0.00058 | $0.00440 |
| Opus 5.5 | $0.00023 | $0.00176 |
| Sonnet 5.5 | $0.00012 | $0.00088 |
| Haiku 4.5 | $0.00006 | $0.00044 |
Grade A, and why
docker-production 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.
What it actually says
Docker Production
Production Docker patterns. Multi-stage builds that actually minimize image size, security hardening, Compose configs that survive real traffic, and debugging techniques.
Reference guide
Read only the references needed for the current request:
- 1. Multi-Stage Builds: references/1-multi-stage-builds.md
- 2. Security Hardening: references/2-security-hardening.md
- 3. Compose for Production: references/3-compose-for-production.md
- 4. Secrets Management: references/4-secrets-management.md
- 4b. Supply-Chain: SBOM, Provenance & Signing: references/4b-supply-chain-sbom-provenance-signing.md
- 5. Networking: references/5-networking.md
- 6. Logging: references/6-logging.md
- 7. Debugging Production Containers: references/7-debugging-production-containers.md
- 8. Private Registry: references/8-private-registry.md
- 9. When to Graduate from Compose: references/9-when-to-graduate-from-compose.md
- 10. Production Dockerfile Checklist: references/10-production-dockerfile-checklist.md
What ships with it
12 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.
- agents/openai.yaml 205 B
- references/1-multi-stage-builds.md 9.0 KB
- references/10-production-dockerfile-checklist.md 1.5 KB
- references/2-security-hardening.md 4.0 KB
- references/3-compose-for-production.md 4.8 KB
- references/4-secrets-management.md 2.6 KB
- references/4b-supply-chain-sbom-provenance-signing.md 1.8 KB
- references/5-networking.md 1.1 KB
- references/6-logging.md 1.4 KB
- references/7-debugging-production-containers.md 2.6 KB
- references/8-private-registry.md 4.3 KB
- references/9-when-to-graduate-from-compose.md 1.2 KB
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 · 26 lines · 58 tokens per session scan A 4ac6d32379c8
docker-production is a skill published in the GitHub repository san-npm/skills-ws (4 stars, last pushed 1mo ago), licensed MIT. It adds 58 tokens to every session and 440 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.
docker-production compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| docker-productionsan-npm/skills-ws | Skill | 4 | 1mo ago | MIT | A | 58 | Codex |
| deploy-docker-composeomnigent-ai/omnigent | Skill | 11k | yesterday | Apache-2.0 | A | 84 | Claude Code, Codex |
| bdd-container-updateNVIDIA-AI-Blueprints/video-search-and-summarization | Skill | 2.0k | yesterday | Apache-2.0 | A | 117 | Cursor |
| securing-kubernetes-on-cloudxalgorix/xalgorix | Skill | 1.3k | yesterday | Apache-2.0 | A | 80 | Claude Code, Codex |
| detecting-privilege-escalation-in-kubernetes-podsxalgorix/xalgorix | Skill | 1.3k | yesterday | Apache-2.0 | A | 40 | Claude Code, Codex |
| docker-socket-mountPurpleAILAB/Decepticon | Skill | 6.5k | 8d ago | Apache-2.0 | B | 67 | Claude Code |
| k8s-networkingrohitg00/kubectl-mcp-server | Skill | 968 | 15d ago | MIT | A | 34 | Claude Code, Codex |