Content
92%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.
The content is a dense, highly actionable operator guide: executable commands with a concrete manifest example, a clearly sequenced workflow with strong validation and failure handling for batch execution, and clean one-level-deep delegation to real bundle files. Its only weakness is mild over-density — the version-discrepancy discussion and a few overloaded sentences could be tightened or moved to the runtime reference.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is efficient and assumes competence — no explanations of what CellProfiler or TIFFs are, and nearly every sentence carries non-obvious domain knowledge (LoadData turning '001' into '1', 12-bit-in-uint16 scaling, storage-maximum saturation semantics). It falls short of level 5 only because the 4.2.8 vs PyPI 4.2.8.1 version discussion and some very dense multi-clause sentences (e.g., the run contract paragraph) could be trimmed or delegated to the runtime reference. | 4 / 5 |
Actionability | The guidance is fully executable: copy-paste-ready commands ('python scripts/nuclei_assay.py prepare images.csv load_data.csv', 'run ... --executable cellprofiler', 'summarize results'), a concrete CSV manifest example, exact engine flags (-c -r, --data-file, --done-file), and links to real bundled files (assets/nuclei.cppipe, references/runtime-and-qc.md) that were verified to exist. Specific examples cover the common 2D nuclear-channel assay case. | 5 / 5 |
Workflow Clarity | The 5-step workflow is clearly sequenced with explicit validation checkpoints and feedback loops appropriate to a batch operation: pilot across controls/dim/plate-edge images with overlay inspection, threshold and declumping tuning, pipeline freezing, then batch analysis with QC review (saturation warnings, zero counts, count/area distributions). Failure handling is explicit — success requires exit code zero plus a Complete marker and valid tables, failed runs retain status and error, and the instruction to rerun in a new output folder. | 5 / 5 |
Progressive Disclosure | SKILL.md is a well-organized overview (Workflow / Run the bounded assay / Interpret the outputs / Sources) with bulk detail correctly split one level deep into references/runtime-and-qc.md (container target, verification evidence, review sources — verified no nested reference chains), the starting pipeline in assets/nuclei.cppipe, and the helper in scripts/nuclei_assay.py. All referenced paths exist in the bundle and are clearly signaled. | 5 / 5 |
Total | 19 / 20 Passed |