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<title>winagent-sandbox-mcp.git/skills/python-via-uv/SKILL.md, branch main</title>
<subtitle>Windows-native MCP agent sandbox for Ollama with LPAC, NTFS ACL, Job Objects, and WFP. 
</subtitle>
<id>https://git.takashi-2521.com/winagent-sandbox-mcp.git/atom?h=main</id>
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<updated>2026-08-11T15:02:23+00:00</updated>
<entry>
<title>feat: harden Python workflow and structured planning</title>
<updated>2026-08-11T15:02:23+00:00</updated>
<author>
<name>tanaka takashi</name>
<email>isazaka@gmail.com</email>
</author>
<published>2026-08-11T15:02:23+00:00</published>
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<id>urn:sha1:ce550a127b7dc972651bd15b9f09979a2c38688f</id>
<content type='text'>
Replace the uv-specific skill with a portable Python skill and rewrite the default user system prompt as a concise, structured Markdown execution policy.

Normalize a single fenced structured-JSON response, retry invalid skill selection with think disabled, validate selected skill output, and make coding plans keep editing and verification in one task.

Document the file_edit patch payload, expose that contract in the tool catalog, and convert malformed patch input into a retryable tool failure instead of terminating the agent task.

Update configuration and runtime tests for the Python skill, exact tool catalog, structured-output retry, and implementation-and-verification planning guidance.

Verified with 82 Agent.Core tests and an agent-mcp Python scheduling scenario with 49 passing unittest cases.
</content>
</entry>
<entry>
<title>feat(skills): add uv-assisted Python workflow</title>
<updated>2026-08-09T15:57:30+00:00</updated>
<author>
<name>tanaka takashi</name>
<email>isazaka@gmail.com</email>
</author>
<published>2026-08-09T15:57:30+00:00</published>
<link rel='alternate' type='text/html' href='https://git.takashi-2521.com/winagent-sandbox-mcp.git/commit/?id=6394dfcc50fb1804ab07be309d940017eb11ef7d'/>
<id>urn:sha1:6394dfcc50fb1804ab07be309d940017eb11ef7d</id>
<content type='text'>
Add a concise Japanese companion prompt that asks the model to be approachable, clarify uncertainty, select available skills and tools, verify results, and report the next useful action without adding excessive context.

Add the standard skills/python-via-uv/SKILL.md package and UI metadata. The workflow uses uv python find offline to resolve an interpreter, then asks the Broker to launch the separately approved Python executable. It deliberately avoids uv run because the v1 OS child-process restriction must reject descendants created directly by uv.

Support standard skills/&lt;name&gt;/SKILL.md directories while retaining legacy top-level Markdown loading. Skip reparse-point skill directories, load deterministically, package the complete skills tree, and avoid loading nested reference Markdown as independent skills.

Validation: skill-creator quick_validate PASS; uv 0.11.23 resolved Python and the two-stage Python execution printed UV_BROKER_TWO_STAGE_OK. Release build passed with 0 warnings/errors; Core tests passed 49/49 with skip 0. The 1.0.0 Bundle and manifest were regenerated with the prompt and Skill.
</content>
</entry>
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