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 agentmods add skills/shangbiolab/spatialclaw/orchestratornpx skills add ShangBioLab/SpatialClaw --skill orchestratorgit clone --depth 1 https://github.com/ShangBioLab/SpatialClawWrote 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/shangbiolab/spatialclaw/orchestrator)<a href="https://agentmods.dev/skills/shangbiolab/spatialclaw/orchestrator"><img src="https://agentmods.dev/badge/skills/shangbiolab/spatialclaw/orchestrator.svg" alt="Measured on agentmods" 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 | $0.00033 | $0.00299 |
| Opus 5 | $0.00016 | $0.00150 |
| Sonnet 5 | $0.00007 | $0.00060 |
| Haiku 4.5 | $0.00003 | $0.00030 |
Grade A, and why
spatial-orchestrator-top-level 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 4d 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
Top-Level Spatial Orchestrator
This directory is the restored top-level orchestration entry for the current
spatial-only SpatialClaw architecture. It delegates all routing and pipeline
execution to skills/spatial/spatial-orchestrator/.
It intentionally does not contain or advertise deleted non-spatial omics skills.
CLI Reference
python skills/orchestrator/spatial_orchestrator.py --list-skills
python skills/orchestrator/spatial_orchestrator.py --demo --output <dir>
python skills/orchestrator/spatial_orchestrator.py \
--query "find spatially variable genes" \
--output <dir>
The canonical registered skill remains:
python spatialclaw.py run spatial-orchestrator --demo --output <dir>
What ships with it
1 file 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.
- 4d ago First seen · 48 lines · 33 tokens per session scan A 0998ed246a81
spatial-orchestrator-top-level is a skill published in the GitHub repository ShangBioLab/SpatialClaw (11 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 33 tokens to every session and 299 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 2026-08-30.
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