Content
73%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 body is a detailed, well-sequenced workflow with strong validation and highly executable guidance. Its main weaknesses are recurring redundancy (citation-style rules restated multiple times) and an oversized inline validation script that belongs in a bundle file.
Suggestions
Consolidate the ML (natbib) vs IEEE (cite) citation rule into a single authoritative location and reference it, instead of restating it in Constants, Step 3, Key Rules, and Final Checks.
Move the inline bib-hygiene Python validation block into scripts/validate_bib.py and invoke it from the workflow, keeping the SKILL.md body lean.
Trim the 'Empirical motivation' editorial anecdotes or relocate them to a shared-references file so the workflow steps stay directive.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly high-signal, but it repeats the ML-vs-IEEE citation rule in several places and includes editorial 'Empirical motivation' anecdotes, which is more than minor padding yet not severely verbose. | 3 / 5 |
Actionability | Provides concrete, executable venue LaTeX templates, real DBLP/CrossRef curl commands, and a copy-paste validation script; the one step-described bib-cleaning pattern keeps it just short of fully copy-paste ready everywhere. | 4 / 5 |
Workflow Clarity | An explicit Step 0-8 sequence with validation checkpoints (backup-before-overwrite, dead-entry removal, VERIFY/MISMATCH handling, review triage) and a final checklist — clear feedback loops for a destructive/batch operation. | 5 / 5 |
Progressive Disclosure | Points to one-level-deep shared-references with clear when-to-read signaling, but referenced bundle files (shared-references/, templates/) are not present and the inline ~90-line validation script would fit better in scripts/. | 4 / 5 |
Total | 16 / 20 Passed |