external-data-upload
external-data-upload is a Repository setup & general VCS operations skill for AI agents, published by InsightSoftwareConsortium in the ITK repository on GitHub. Skillspace rates external-data-upload F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Upload ITK test data to Filebase IPFS storage and produce .cid content links via the S3 REST API + npx ipfs-car (no Kubo daemon required), optionally mirror into ITKTestingData, and normalize existing .md5 / .sha256 / .cid content links. Use when the user wants to add test images, baseline data, or model files under Testing/Data/ or a module's data/ directory, or when asked to convert hash-based content links to CID.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 1,633
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since.
Our review
- Architecture
- 81 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- High-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- references sensitive credential env
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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