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 GGbond-bo/MemOmics-Agent --skill cns-visualizationgit clone --depth 1 https://github.com/GGbond-bo/MemOmics-AgentWrote 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/ggbond-bo/memomics-agent/cns-visualization)<a href="https://agentmods.dev/skills/ggbond-bo/memomics-agent/cns-visualization"><img src="https://agentmods.dev/badge/skills/ggbond-bo/memomics-agent/cns-visualization/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/ggbond-bo/memomics-agent/cns-visualization"><img src="https://agentmods.dev/badge/skills/ggbond-bo/memomics-agent/cns-visualization.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 | $0.00032 | $0.01541 |
| Opus 5 | $0.00016 | $0.00771 |
| Sonnet 5 | $0.00006 | $0.00308 |
| Haiku 4.5 | $0.00003 | $0.00154 |
Grade A, and why
cns-visualization 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 9d 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CNS级可视化
Nature/Cell/Science级别出图模板: UMAP+DotPlot+Violin+Heatmap+Sankey
规则N: 运行记录只是参考，不能跳过审查
- skill_evolution(action="query_logs") 返回的历史运行日志仅供参数参考
- 即使有 quality_score=9.0 的历史日志，仍必须执行 rail_review(pre)、debate_analysis、rail_review(post)
- 禁止因"之前跑过"而跳过任何审查步骤
- 禁止直接用历史日志里的脚本运行而不经本次审查
- 运行日志是"参考"不是"免审凭证"
分析步骤:
- UMAP FeaturePlot (Nature): Unified palette + hi-res
- DotPlot: Marker genes across celltypes
- ViolinPlot: Expression distribution + stats
- Heatmap: Top DEG + annotation bars
- Sankey/Alluvial: Cell type flow diagram
触发提示: "生成CNS级可视化图表"
When to Use
当你需要 CNS级可视化 时触发
Pipeline
- UMAP FeaturePlot (Nature)
- Unified palette + hi-res
- Tool:
terminal
- DotPlot
- Marker genes across celltypes
- Tool:
terminal
- ViolinPlot
- Expression distribution + stats
- Tool:
terminal
- Heatmap
- Top DEG + annotation bars
- Tool:
terminal
- Sankey/Alluvial
- Cell type flow diagram
- Tool:
terminal
Parameters
| Parameter | Default | Notes |
|---|---|---|
steps |
UMAP FeaturePlot (Nature) -> DotPlot -> ViolinPlot -> Heatmap -> Sankey/Alluvial |
Parameter Adaptation: Adjust parameters based on tissue quality, species, and condition. Literature values take priority, then official defaults, then tissue-specific adjustments.
Proven Scripts
Scripts that have been successfully executed and passed analysis review. These are automatically saved after successful runs.
| Species | Tissue | Condition | Date | Score |
|---|---|---|---|---|
| (none yet) |
| human | skeletal_muscle | aging | 2026-08-17 | plot_umap_annotation.R | - | - | | | human | skeletal_muscle | aging | 2026-08-20 | fig_C1_AMPK_violin_4sub.py | - | - | | | human | skeletal_muscle | aging | 2026-08-20 | fig_C1_AMPK_violin_4sub.py | - | - | | | human | skeletal_muscle | aging | 2026-08-20 | fig_C1_AMPK_violin_4sub.py | - | - | | | human | skeletal_muscle | aging | 2026-08-20 | fig_C1_5sub_rawp_effsize.py | - | - | | | human | skeletal_muscle | aging | 2026-08-21 | fig_C1_5sub_vs_pure_v2.py | - | - | |
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.
- 9d ago First seen · 140 lines · 32 tokens per session scan A eb3e0cddb387
cns-visualization is a skill published in the GitHub repository GGbond-bo/MemOmics-Agent (19 stars, last pushed 2d ago), licensed MIT. It adds 32 tokens to every session and 1,541 once invoked, about $0.0002 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 2026-09-03.
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