Content
68%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 well-organized, mostly executable overview that correctly delegates implementation to the bundled script. Its main weaknesses are the absence of validation/verification steps for the batch analysis-and-report pipeline and the leftover template placeholder heading.
Suggestions
Add validation checkpoints around the batch workflow: check that Research/connections.json exists and is well-formed before running, and verify theses.json was updated (and the report generated) after --auto-report, with guidance on what to do on failure.
Replace the hardcoded personal vault path 'C:\Users\nuno_\Documents\Obsidian Vault' with a configurable parameter or environment variable so the commands are executable on other machines.
Fix the 'Step N: Reflection' heading — it is an unfilled template placeholder — and either fill in the actual step context or drop the section if reflection is not part of this skill's run.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is efficient with concrete commands and no concept over-explanation, but the opening paragraph repeats the frontmatter description verbatim and the closing line "The reflection skill will analyze the run and produce improvement recommendations" explains something already implied — minor trims keep it below the lean anchor 5. | 4 / 5 |
Actionability | Usage gives copy-paste commands ("python scripts/tracker.py --status", "--auto-report") whose flags exist in the bundled script, plus concrete thresholds ("5+ supporting connections", "2+ contradicting connections"); gaps include the hardcoded personal vault path "C:\Users\nuno_\Documents\Obsidian Vault" and no sample connections.json/theses.json payloads. | 4 / 5 |
Workflow Clarity | The six numbered steps give a clear sequence, but the pipeline is a batch operation (bulk grouping of connections plus auto-generating reports and writing theses.json) with no validation checkpoints — no guidance for missing/corrupt connections.json or confirming a report was actually generated — which caps it at anchor 3 per the batch-operation rule. | 3 / 5 |
Progressive Disclosure | Good structure: the 784-line implementation lives appropriately in scripts/tracker.py (a real, one-level-deep reference) while SKILL.md stays an overview; the unfilled "Step N: Reflection" placeholder heading and the borderline 51-line length are minor organization gaps that keep it below anchor 5. | 4 / 5 |
Total | 15 / 20 Passed |