Content
64%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 well-structured, context-efficient procedural skill with strong adaptability and sensible progressive disclosure via bundle files. Its main weaknesses are overclaiming semantic preservation from test passage and thinner coverage of edge-case recovery and evidence for its safety claims.
Suggestions
Replace the unconditional 'tests pass ⇒ semantics preserved' assertion with an explicit caveat that this holds only when a covering test suite exists, and add a step to assess/estimate test coverage before relying on it.
Expand the recovery section to handle missing or empty test suites (e.g. fall back to type checking, build verification, or a manual diff review gate) rather than silently assuming tests are present.
Either cite the basis for the AST-based safety claims or soften them to operational checks (parse-equivalence, import-graph unchanged) that the procedure actually performs.
| Dimension | Reasoning | Score |
|---|---|---|
Robustness | Covers git-stash rollback and 'tests fail → abort' recovery, but lacks handling for detached HEAD, partial commits, large binary trees, or test-suite absence, leaving several real failure modes unaddressed. | 3 / 5 |
Correctness | The procedure is mostly sound, but equating 'tests still pass' with 'semantics preserved' is an overclaim (tests may be absent or incomplete), and the Python AST example does not handle the general multi-statement case it implies. | 3 / 5 |
Adaptability | Explicitly branches on input modality (file vs symbol vs snippet), language (Python/JS/Go examples), and repo state (dirty tree → git stash), giving a model clear decision points for varied contexts. | 4 / 5 |
Groundedness | Generally grounded in concrete tooling, but several assertions (AST preservation of semantics, test-suite sufficiency) are stated without citation or evidence, and the safety claim rests on tests-existing assumptions that may not hold. | 3 / 5 |
Actionability | Provides a numbered procedure with concrete commands (git stash, language-specific grep, a Python AST transform snippet, test invocation) and explicit fallbacks, so a model can execute without guessing; some steps stay slightly abstract ('apply targeted edits') rather than fully scripted. | 4 / 5 |
Context Efficiency | Uses tight procedural prose, bulleted sub-procedures, and links to on-demand bundle files rather than inlining large examples, keeping token cost low for the common path while preserving depth when needed. | 4 / 5 |
Progressive Disclosure | Keeps the main body focused on the core procedure and defers detail to bundle files (references/, scripts/, assets/) plus a short 'Key files' pointer, avoiding upfront overload; the per-language heuristics are appropriately pushed out of the headline path. | 4 / 5 |
Total | 25 / 35 Passed |