deepspot-m
No security findings. Scanned 1 time, most recently 2026-10-21.
Second scanner: NVIDIA SkillSpector
SkillSpector found no issues but could not fully inspect the package, usually because SKILL.md refers to a file that is not present, so it fails closed to CAUTION instead of SAFE. Read it as "not fully checked", not as a finding. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Generates transcriptome-wide virtual spatial transcriptomics from H&E histology with DeepSpot-M. Used for predicted log1p-CPM expression from 224x224 tiles at about 20x, querying the released protein-coding gene panel by symbol, and whole-slide prediction after resolution-aware tiling with histolab.
- Package
- 3 files, 28 KB
- SKILL.md
- 1238 words, 12+ sections
- Code
- None. Instructions only.
- Allowed tools
ReadWriteEditBash- License
- PolyForm-Noncommercial-1.0.0
- Compatibility
- Requires deepspotm 1.0.0, Python >=3.10 and PyTorch; network and approved Hugging Face access for initial gated weight download. CPU supported; CUDA optional. Optional histolab 0.7.0 tiling requires a separate Python 3.10/3.11 environment and OpenSlide. AnnData is needed for H5AD export.
SKILL.md covers: DeepSpot-M · Overview · Licensing · Installation · Model access · Quick start · Tile requirements · Keep the dependency optional · Embedding sources · Whole slide workflow · Verification scope · Common use cases
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 9.7 KB |
references/api.md | doc | 7.1 KB |
references/whole_slide.md | doc | 11 KB |
External hosts referenced
huggingface.co github.com pypi.org anndata.readthedocs.io doi.org histolab.readthedocs.io openslide.org
Hostnames that appear in the skill's files. Referencing a host is not a finding; compare against the findings above and the skill's stated purpose.
Environment variables referenced
HF_HOME HF_TOKEN
Package contents recorded 2026-10-22 at commit 593377bb0487. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Bytecode analyzer.
- Pipeline analyzer.
- Correlation analyzer.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Sources
- Repository: https://github.com/K-Dense-AI/scientific-agent-skills
- Raw scan result: skills-deepspot-m-scan.json
- Badge for your README:
- Request a re-scan