Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
An excellent, dense, actionable body with verified one-level references and strong progressive disclosure. The only gap is workflow clarity: stochastic/batch folding lacks an explicit validate-or-rank checkpoint loop, capping it just below the top anchor.
Suggestions
Add an explicit ranking/selection checkpoint after fold() (e.g. 'verify each Prediction has finite pLDDT/ipTM before ranking; discard NaN samples') to close the validate-then-retry loop for batch diffusion sampling.
For the cusolver SVD poison, frame a recovery loop (detect illegal-memory-access → apply monkeypatch → retry) rather than only presenting the patch as a one-shot fix.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and dense with actionable, non-obvious detail (version pins, kernel-backend caveats, SVD monkeypatch) and assumes Claude's competence without explaining basic concepts, matching the 'lean and efficient; every token earns its place' anchor. | 3 / 3 |
Actionability | It provides fully executable install commands, copy-paste folding code with exact kwargs, and a concrete SVD monkeypatch — copy-paste ready guidance per the top anchor. | 3 / 3 |
Workflow Clarity | Sequences are present (install → load → set_kernel_backend → fold → rank) but there is no explicit validation/verification checkpoint for the batch/stochastic folding runs, and the destructive-adjacent cusolver poison fix is given as a patch rather than a validate-then-retry loop, so the top anchor's explicit checkpoints are not fully met. | 2 / 3 |
Progressive Disclosure | The SKILL.md is a clear overview with well-signaled one-level-deep references to real bundle files (`references/design-hook.md`, `references/esmc.md`), both verified to exist, with appropriately split detail and easy navigation. | 3 / 3 |
Total | 11 / 12 Passed |