feat(analyzer): detect external model selection - #426
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[SkillSpector Review]
Requesting changes for a HIGH-severity prose false positive. Every inline-code command is classified as actionable regardless of the surrounding sentence, so documentation that merely names a supported CLI command is reported as silent model/account switching. Please require directive or shell-example context for inline code and add descriptive inline-code and fenced-example negative regressions.
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[SkillSpector Maintainer Ping] @deepujain, thank you for the follow-up commit and thread reply. The new directive-context gate plus descriptive inline-code and fenced-example regressions appear to address the EA5 review feedback. Please resolve the review thread and reply here when you want the updated head re-reviewed. The branch is currently behind |
Signed-off-by: Deepak Jain <deepujain@gmail.com>
Signed-off-by: Deepak Jain <deepujain@gmail.com>
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Updated the branch onto current |
Summary
SKILL.mdfrontmatter pins as MEDIUM cost exposure-mflags, and unknown local model namesValidation
pytest tests/unit/test_patterns_new.py tests/nodes/analyzers/test_static_patterns.py -q(538 passed)pytest -m 'not integration and not provider' tests/ -q(2818 passed, 13 skipped, 38 deselected, 4 xfailed)ruff check src testsruff format --check src testsRisk
Fixes #370