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 agentlas-ai/agentlas-desktop --skill imaging-data-commonsgit clone --depth 1 https://github.com/agentlas-ai/agentlas-desktopWrote 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/agentlas-ai/agentlas-desktop/imaging-data-commons)<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/imaging-data-commons"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/imaging-data-commons/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/agentlas-ai/agentlas-desktop/imaging-data-commons"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/imaging-data-commons.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00075 | $0.07180 |
| Opus 5.5 | $0.00030 | $0.02872 |
| Sonnet 5.5 | $0.00015 | $0.01436 |
| Haiku 4.5 | $0.00007 | $0.00718 |
Grade A, and why
imaging-data-commons scanned grade A with 1 finding 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 1mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
`curl`; do not install anything.** Installing costs ~77 MB of packaged index data plus This is a copy
100% identical to imaging-data-commons — 81 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 497 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Imaging Data Commons
Overview
Query and download public cancer imaging data from the National Cancer Institute Imaging Data Commons (IDC). No authentication required for data access.
Expected network access: IDC metadata is reachable three ways — a local DuckDB index shipped with the idc-index Python package (no network), or the hosted IDC service over MCP or REST (api.imaging.datacommons.cancer.gov, no authentication). File downloads use public GCS (storage.googleapis.com) and AWS S3 (s3.amazonaws.com) — no authentication required. DICOMweb access uses either the public IDC proxy (proxy.imaging.datacommons.cancer.gov, no auth) or the Google Cloud Healthcare API (healthcare.googleapis.com, requires GCP authentication). Optional BigQuery queries (bigquery.googleapis.com) also require GCP authentication. No credentials or environment variables are accessed by this skill.
Current IDC Data Version: v24 (always verify — see Best Practices)
Choose the access path first. There is no single default: the cheapest correct path depends on the session and the task.
- Session already has the IDC MCP server? Route discovery and metadata there — see IDC MCP Server.
- Otherwise, is
idc-indexinstalled? Runpython scripts/check_version.py. If it passes, useidc-indexfor everything. - Not installed, and the task is read-only metadata — counts, attribute values, collection
lookups, SQL under 10 000 rows, licenses, citations, viewer URLs? Use the REST API over
curl; do not install anything. Installing costs ~77 MB of packaged index data plus pandas, pyarrow, and duckdb, which a metadata question does not need. See Data Access Options. - Not installed, and the task needs more than metadata — downloading files, pandas or
plotting, pydicom/SimpleITK, pathology tiling, results past 10 000 rows, or a version-pinned
script the user re-runs? Install
idc-index:check_version.pyexits non-zero and prints the exact install command for the running interpreter. Prefer a virtual environment, then restart Python.
What ships with it
14 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.
- references/bigquery_guide.md 33 KB
- references/cli_guide.md 8.2 KB
- references/clinical_data_guide.md 12 KB
- references/cloud_storage_guide.md 14 KB
- references/dicomweb_guide.md 15 KB
- references/digital_pathology_guide.md 15 KB
- references/index_tables_guide.md 12 KB
- references/licensing_and_citation.md 9.4 KB
- references/mcp_guide.md 8.6 KB
- references/parquet_access_guide.md 8.4 KB
- references/rest_api_guide.md 31 KB
- references/sql_patterns.md 16 KB
- references/use_cases.md 7.8 KB
- scripts/check_version.py 5.3 KB runs code
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.
- 1mo ago First seen · 497 lines · 75 tokens per session scan A 27ceb36b3ee1
imaging-data-commons is a skill published in the GitHub repository agentlas-ai/agentlas-desktop (6 stars, last pushed today), licensed Apache-2.0. It adds 75 tokens to every session and 7,180 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to imaging-data-commons, differing in 81 lines, and is treated as a copy.
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