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 xiaohei-info/oh-my-multica --skill software-design-lifecycle-deploy-ops-deployment-arch-diagramminggit clone --depth 1 https://github.com/xiaohei-info/oh-my-multicaWrote 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/xiaohei-info/oh-my-multica/software-design-lifecycle-deploy-ops-deployment-arch-diagramming)<a href="https://agentmods.dev/skills/xiaohei-info/oh-my-multica/software-design-lifecycle-deploy-ops-deployment-arch-diagramming"><img src="https://agentmods.dev/badge/skills/xiaohei-info/oh-my-multica/software-design-lifecycle-deploy-ops-deployment-arch-diagramming/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/xiaohei-info/oh-my-multica/software-design-lifecycle-deploy-ops-deployment-arch-diagramming"><img src="https://agentmods.dev/badge/skills/xiaohei-info/oh-my-multica/software-design-lifecycle-deploy-ops-deployment-arch-diagramming.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00062 | $0.00262 |
| Opus 5 | $0.00031 | $0.00131 |
| Sonnet 5 | $0.00012 | $0.00052 |
| Haiku 4.5 | $0.00006 | $0.00026 |
Grade A, and why
software-design-lifecycle-deploy-ops-deployment-arch-diagramming 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.
What it actually says
Deploy / Ops Deployment Architecture Diagramming
Overview
This skill owns 部署运维阶段的部署架构图 / 物理架构图.
Canonical Deploy / Ops Slice (Preserved)
| 物理架构 | 硬件与网络拓扑 | 部署架构图 |
What This Artifact Must Answer
- where the system runs
- what physical or deployment boundaries exist
- what network/topology assumptions the run-stage audience needs
Verification Checklist
- Physical / deployment boundaries are explicit
- Network/topology assumptions are explicit
- The artifact supports rollout / rollback / operations understanding
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 · 35 lines · 62 tokens per session scan A b72694ef6675
software-design-lifecycle-deploy-ops-deployment-arch-diagramming is a skill published in the GitHub repository xiaohei-info/oh-my-multica (26 stars, last pushed 5d ago), licensed MIT. It adds 62 tokens to every session and 262 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 2026-08-30.
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