Content
81%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 dense, well-structured operational skill: executable commands, a genuine validation checklist, an explicit user-confirmation gate before a batch operation, and a post-run metrics gate. The main improvement opportunities are merging the overlapping input/validation lists, naming the concrete metrics artifacts to inspect, and moving deep detail (sample-sheet formats, metrics file layouts) into a reference file.
Suggestions
Merge 'Essential Inputs' and 'Validation Checklist' — index lengths, UMI layout, dual-index orientation, and lane handling are listed in both sections; a single checklist with the preflight command would cut ~10 lines of duplication.
In 'Metrics Review', name the concrete artifacts to inspect (e.g., the Demultiplex_Stats output, Reports directory, per-sample FASTQ filenames) so the review step is executable rather than a list of metric concepts.
Move sample-sheet format/version specifics and metrics-file layout details into a single one-level-deep reference file, keeping SKILL.md as the overview with a clearly signaled link.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean, command-first, and assumes domain competence (e.g., no explanation of what demultiplexing is, terse boundary statement 'do not auto-download without explicit user approval'). It is not score 5 because the 'Essential Inputs' list and the 'Validation Checklist' partially duplicate each other (index lengths, UMI layout, dual-index orientation, lane handling appear in both) and could be merged. | 4 / 5 |
Actionability | Concrete, executable commands throughout — the preflight invocation, `test -f` checks, the full runner invocation with flags, and the bcl-convert kickoff command. It is not score 5 because the Metrics Review section says what to inspect ('total clusters', 'top undetermined index sequences') without naming the actual artifacts to read (e.g., Demultiplex_Stats files, per-sample FASTQ paths), and no example metrics-file interpretation is given. | 4 / 5 |
Workflow Clarity | A clear sequence (confirm inputs → preflight → validation checklist → user-confirmed kickoff → execution → metrics review → downstream gate) with an explicit Validation Checklist section, a preflight validation step, an explicit confirmation gate ('run conversion only after the user confirms', 'Add --execute only when conversion is requested'), and a post-run verification stage. This matches the 'explicit validation steps... checklists for complex processes' anchor; the batch-operation validation cap at 3 does not apply since validation is thorough. | 5 / 5 |
Progressive Disclosure | No bundle files exist (references/, scripts/, assets/ are absent), and the body is a well-sectioned ~85-line overview — appropriate for a single-file skill. It is not score 5 because the body invokes plugin scripts ('plugins/ngs-analysis/scripts/ngs_preflight.py', 'run_bcl_to_fastq.py') that are not part of this skill bundle, and detail like sample-sheet format specifics or metrics-file layouts would justify a one-level-deep reference file rather than inline enumeration. | 4 / 5 |
Total | 17 / 20 Passed |