ground-adapter Skill
Ground CXR findings using the trained MI2 adapter. Returns per-finding positive/possible/negative calls for the agent to use when writing the report. Published by microsoft in healthcareai-examples.
What is ground-adapter Skill?
Ground CXR findings using the trained MI2 adapter. Returns per-finding positive/possible/negative calls for the agent to use when writing the report. Published by microsoft in healthcareai-examples. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Design and media
- Writing
- Design and media use cases
- Writing use cases
Technical details
- Install or run with Copy skill directory
When to use ground-adapter Skill
- Use it for design and media.
- Use it for writing.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/healthcareai-examples
- Skill file: agentic/medimageinsight/skills/ground-adapter/SKILL.md
What it does
Ground CXR findings using the trained MI2 adapter. Returns per-finding positive/possible/negative calls for the agent to use when writing the report.
Skill instructions
ground-adapter Calls the trained MI2 adapter and returns per-finding positive/possible/negative calls. Does not write a report — the agent produces the report using the write-report skill after grounding. Budget - Tool calls: 1 — exactly one mcpmedimageinsigadapterclassify call per image. - Do not retry on success. How to use 1. Resolve the image. If imagepath is an http(s) URL, pass it through to the tool unchanged — do NOT download it, curl it, or turn it into a local file; the MCP server fetches URLs itself. Otherwise it is a local path: the MCP tool runs in a different working directory, so if it is not absolute, resolve it via realpath; if it can't be resolved, ask the user. 2. Call the adapter. Call mcpmedimageinsigadapterclassify with filepath = absolute path and head = the caller's value if provided (otherwise omit; defaults to mlp). One call per image. 3. Read the results. The adapter returns {label: "positive" | "possible" | "negative"}, already bucketed using per-class opera
Explore related resources
Frequently asked questions
What is ground-adapter?
ground-adapter is a open-source AI agent skill with Copy skill directory. Ground CXR findings using the trained MI2 adapter. Returns per-finding positive/possible/negative calls for the agent to use when writing the report.
Who is ground-adapter best for?
ground-adapter is best for reusing agent instructions, scripts, and references, design and media workflows, writing workflows.
How do I install ground-adapter?
Install or run ground-adapter using Copy skill directory. Check ground-adapter for the latest setup command.
Is ground-adapter actively maintained?
ground-adapter may need a closer maintenance check before production use.
Auto-fetched from GitHub.
