Review a reusable Agent Skill package before implementation. Validate its identity fields, separate instructions from external capabilities and execution timing, and receive a validation report with a minimal set of building blocks and reasons for each choice.
Validate an Agent Skill package and choose the right instruction, capability, or lifecycle primitive before implementation.
Review the instructions the agent will receive before you install.
Use this skill when a workflow is about to become a reusable agent artifact.
SKILL_ROOT to the absolute directory containing this installed
SKILL.md. Do not assume the process working directory is the bundle.TARGET_ROOT to the absolute original workspace working directory and
resolve the proposed skill directory under that root.$SKILL_ROOT/references/contract.md and validate the portable
SKILL.md identity fields.$SKILL_ROOT/references/decision-model.md and separate repository
context, reusable method, external capability, lifecycle timing,
deterministic logic, and isolated delegation.python3 "$SKILL_ROOT/scripts/check_skill.py" "$TARGET_SKILL", where
TARGET_SKILL is the absolute proposed skill directory under
TARGET_ROOT.$SKILL_ROOT/assets/task-shapes.json and return the smallest composable set
of primitives.Do not claim that a runtime extension is part of the portable contract. Do not treat a valid skill as permission to run scripts or access tools.
Return the validation report, the selected primitives, and one sentence explaining each selection. Include execution evidence with the resolved script path, resolved target path, cwd, exact argv, and exit code. If the host cannot expose one of those observations, mark it unverified instead of inventing it.
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Create static SVG diagrams, scalable images for lessons, READMEs, and manuals. It uses real system names, nine diagram types, and consistent colors and arrows, with checks for readable labels, accessible descriptions, and valid markup.
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