Skill Loom v0.2.0

Skill Loom v0.2.0 is a compatible MINOR release from v0.1.1.

• Add an environment-aware recommendation queue, explicit Claude transcript observations and per-host usage review. Recommendations install nothing.
• Include merged fixes from PRs #1 and #2: reject malformed usage reports, deduplicate repeated input filesystem objects, require one report to meet coverage thresholds, preserve positive signals, and keep staging arguments separate from shell text.
• Clarify Codex observation semantics with optional skill_signal_basis metadata. The legacy skill_md_reads field and load-signal status count syntactic tool-payload path references, including quoted code or failed commands. They do not verify file access, skill use or task success.
• Add a dated research supplement and source review. No new dependencies, upstream pin changes or global skill installation.

Validation: 90 local Windows/Python 3.12 tests (88 passed, two platform skips), 83-file release check, isolated install/rollback/reapply/no-change demo, 12/12 synthetic coverage contracts and citation consistency. A normal wheel is validated in a fresh environment before publication. Exact-head hosted checks are linked below.

The original manuscript and PDF retain their historical scope; the dated supplements contain subsequent engineering evidence. No claims of model quality, token savings, native hook portability or macOS validation are made.

Changes · Research supplement · Upgrade and rollback

For a clean install, use Python 3.10+ and a new virtual environment:
python -m pip install "git+https://github.com/Koooki3/skill-loom.git@v0.2.0"

Keep the old environment and observation reports for rollback to v0.1.1. Schema 1 remains compatible; new commands are unavailable in v0.1.1. The observation thresholds describe selected inputs, not complete capture or independent task opportunities.

Full commit: 331c103a2aba6782bc10e47d70e083a39e87674e

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