imaging-data-commons is a skill in K-Dense-AI/scientific-agent-skills, last changed 1 Oct 2026. It can install more skills, run shell commands, reach the network, name web addresses and bundle scripts — read the findings before installing.

From the author
Queries and downloads public cancer imaging data from NCI Imaging Data Commons. Supports IDC collection discovery, DICOM access, radiology (CT, MR, PET) and pathology AI datasets, metadata SQL, visualization, licensing, and citations. Uses public metadata and download routes without authentication; optional BigQuery and Google Healthcare routes require Google credentials.

At a glance

Pattern check

Nothing flagged

That isn't proof the skill is harmless.

Commit a25cf9e · 3 Nov 2026

How the check works

Pattern check: nothing flagged

That isn't proof the skill is harmless.

Install

Each tab says whether it installs commit a25cf9e, the one we checked, or the latest version.

Read SKILL.md first
Licence not identified
Licence
55.9k
Repo stars
Publisher

What it can touch

From the files and frontmatter at commit a25cf9e. This is how much a skill can do, not whether it is risky.

Pattern check

Pattern check: nothing flagged · commit a25cf9e · 3 Nov 2026

We checked every text file in this skill, at commit a25cf9e on 3 Nov 2026, against 45 published patterns such as download-and-run commands, hidden text and credential access. We don't run the skill, we don't read the web pages it points to, and we can't judge everything its instructions might lead an agent to do. In published tests, pattern checks like this one missed most malicious skills. Read the skill before you install it — especially anything it asks you to download or run.

How the check worksReport an incorrect finding

  • https://github.com/ImagingDataCommons/imaging-data-commons-skill
  • https://github.com/imagingdatacommons/idc-index
  • https://api.imaging.datacommons.cancer.gov/mcp
  • https://api.imaging.datacommons.cancer.gov/v3
  • https://github.com/ImagingDataCommons/SlicerIDCBrowser
  • https://portal.imaging.datacommons.cancer.gov/
  • https://pydicom.github.io/pydicom/stable/reference/generated/pydicom.filereader.dcmread.html
  • https://portal.imaging.datacommons.cancer.gov/explore/
  • https://learn.canceridc.dev/
  • https://github.com/ImagingDataCommons/IDC-Tutorials
Show 40 more
  • https://discourse.canceridc.dev/
  • https://github.com/ImagingDataCommons/idc-index
  • https://idc-index.readthedocs.io/en/latest/indices_reference.html
  • https://doi.org/10.1148/rg.230180
  • https://github.com/ImagingDataCommons/imaging-data-commons-skill/releases
  • https://docs.cloud.google.com/bigquery/docs/sandbox
  • https://github.com/ImagingDataCommons/etl_flow/blob/master/bq/generate_tables_and_views/derived_tables/BQ_Table_Building/derived_data_views/sql/dicom_all.sql
  • https://viewer.imaging.datacommons.cancer.gov/
  • https://www.gehealthcare.com/products/interoperability/dicom/magnetic-resonance-imaging-dicom-conformance-statements
  • https://www.siemens-healthineers.com/services/it-standards/dicom-conformance-statements-magnetic-resonance
  • https://www.siemens-healthineers.com/services/it-standards/dicom-conformance-statements-computed-tomography
  • https://dicom.nema.org/medical/dicom/current/output/chtml/part05/sect_7.8.html
  • https://dicom.nema.org/medical/dicom/current/output/chtml/part15/chapter_e.html
  • https://web.archive.org/web/20260520044207/https://www.na-mic.org/wiki/NAMIC_Wiki:DTI:DICOM_for_DWI_and_DTI
  • https://github.com/nslay/StandardizeBValue
  • https://cloud.google.com/bigquery/pricing
  • https://docs.cloud.google.com/bigquery/docs/best-practices-costs
  • https://docs.cloud.google.com/healthcare-api/docs/how-tos/dicom-bigquery-schema
  • https://docs.cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax
  • https://www.kaggle.com/learn/intro-to-sql
  • https://github.com/ImagingDataCommons/idc-bigquery-cookbook
  • https://idc-index.readthedocs.io/
  • https://learn.canceridc.dev/data/organization-of-data/clinical
  • https://datastudio.google.com/u/0/reporting/04cf5976-4ea0-4fee-a749-8bfd162f2e87/page/p_s7mk6eybqc
  • https://idc-index.readthedocs.io/en/latest/indices_reference.html#clinical-index
  • https://github.com/ImagingDataCommons/IDC-Tutorials/blob/master/notebooks/advanced_topics/clinical_data_intro.ipynb
  • https://github.com/ImagingDataCommons/IDC-Tutorials/blob/master/notebooks/getting_started/exploring_clinical_data.ipynb
  • https://github.com/ImagingDataCommons/IDC-Tutorials/blob/master/notebooks/collections_demos/nlst_clinical_data.ipynb
  • https://github.com/peak/s5cmd/releases
  • https://learn.canceridc.dev/data/organization-of-data/files-and-metadata
  • https://learn.canceridc.dev/data/data-versioning
  • https://learn.canceridc.dev/data/organization-of-data/guids-and-uuids
  • https://learn.canceridc.dev/data/downloading-data/direct-loading
  • https://registry.opendata.aws/nci-imaging-data-commons/
  • https://github.com/peak/s5cmd
  • https://docs.aws.amazon.com/cli/latest/reference/s3/
  • https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/s3.html
  • https://cloud.google.com/storage/docs/gsutil
  • https://cloud.google.com/sdk/gcloud/reference/storage
  • https://cloud.google.com/python/docs/reference/storage/latest

Format check

Each agent reads SKILL.md a little differently. We check the file against each one's published rules; we don't run the skill in any agent.

  • Agent Skills specPasses with warnings

    The open format from agentskills.io, held to the strictest version of each rule among the agents we check.

    • Warning

      The body is about 7,570 tokens (approx.); the spec suggests under 5,000. B2

      Fix: Move detail into reference files that the agent reads only when needed.

    • Note

      Reference files over 100 lines with no table of contents at the top: references/bigquery_guide.md (887 lines), references/cli_guide.md (300 lines), references/clinical_data_guide.md (337 lines), references/cloud_storage_guide.md (345 lines), references/dicomweb_guide.md (427 lines) and 8 more. B5

      Fix: Add a short list of the sections at the top of each.

  • Claude CodePasses

    Claude Code reads its own extra fields, ignores unknown ones, and still loads a skill whose frontmatter is broken, without its fields.

    • Note

      The body is about 7,570 tokens (approx.); the spec suggests under 5,000. After compaction Claude Code keeps only the first 5,000 tokens of a skill. B2

      Fix: Move detail into reference files that the agent reads only when needed.

    • Note

      Reference files over 100 lines with no table of contents at the top: references/bigquery_guide.md (887 lines), references/cli_guide.md (300 lines), references/clinical_data_guide.md (337 lines), references/cloud_storage_guide.md (345 lines), references/dicomweb_guide.md (427 lines) and 8 more. B5

      Fix: Add a short list of the sections at the top of each.

  • Claude apps & API uploadPasses

    Uploading to claude.ai or the Claude API, or packaging with Anthropic's script, accepts only the six spec fields and stops on anything else.

    • Note

      The description is 374 characters. The claude.ai Help Center says 200 at most, though Anthropic's API docs and validator allow 1,024. D4

      Fix: If the claude.ai upload refuses it, trim the description to 200 characters.

    • Note

      The body is about 7,570 tokens (approx.); the spec suggests under 5,000. Anthropic's guidance says the same. B2

      Fix: Move detail into reference files that the agent reads only when needed.

    • Note

      Reference files over 100 lines with no table of contents at the top: references/bigquery_guide.md (887 lines), references/cli_guide.md (300 lines), references/clinical_data_guide.md (337 lines), references/cloud_storage_guide.md (345 lines), references/dicomweb_guide.md (427 lines) and 8 more. B5

      Fix: Add a short list of the sections at the top of each.

  • OpenAI (Codex & API)Passes
  • VS Code & CopilotPasses

SKILL.md

We only show SKILL.md text here when its licence clearly allows it.

Read SKILL.md on GitHub (opens in a new tab)

Files

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Repo facts from GitHub on 3 Nov 2026. Files read at commit a25cf9e.

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