Content
88%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A highly actionable, well-sequenced procedural skill with explicit validation gates and feedback loops for a destructive multi-commit operation. The main weakness is conciseness/progressive-disclosure: a long inline body that could offload some material to reference files.
Suggestions
Move the detailed nm/ld symbol-comparison recipe and the projection/rsync commit sequences into a references/ file (e.g. DEPENDENCY_ANALYSIS.md and PROJECTION_STEPS.md), keeping SKILL.md as an overview that links to them one level deep.
Trim clarifying asides Claude can infer (e.g., the definition of a static archive) to tighten conciseness toward a 5.
Consider a brief top-of-file quick-start or step-summary table so reviewers can grasp the 11-step stack before reading the detailed prose.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and procedural, assuming familiarity with mx, git, diff3, nm, and ld without padding basic concepts; it stops short of 5 only because it is long and includes a few clarifying asides (e.g., "A static archive is a collection of unlinked object files...") that could be trimmed. | 4 / 5 |
Actionability | It supplies concrete, copy-paste-ready commands throughout—`mx reimport-libcontainer-files`, `git merge-file -p --diff3`, the `ld -r` / `nm -u` symbol-comparison block, `python3 project_native_image.py`, rsync-based commits, `mx gate`, and `unittest discover`—correctly parameterized with placeholders for repo-specific values. | 5 / 5 |
Workflow Clarity | The 11-step commit stack is explicitly ordered, and the destructive/batch workflow has clear validation checkpoints and feedback loops—stop-and-investigate gates for a bad merge base, `rg` marker verification, "repeat until its effective additions are all reachable", `git diff --exit-code` net-effect check, and build/run inspection—matching the anchor for explicit validation with error-recovery loops. | 5 / 5 |
Progressive Disclosure | Structure is well-organized with clear section headers, and it delegates canonical instructions to an external README and uses one real bundled script (scripts/project_native_image.py) one level deep; it falls short of 5 because most of the substantial procedural content is inlined in SKILL.md rather than split into reference files. | 4 / 5 |
Total | 18 / 20 Passed |