Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a tight, well-structured instruction skill: lean prose, concrete actionable guidance including a runnable validation command, an explicit numbered workflow with validation checkpoints, and clean section organization. It adds only Agent-Zero-specific knowledge and respects the token budget. No changes needed.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence — it offers a one-line domain framing ("Skills are small folders that teach Agent Zero a repeatable workflow") and otherwise covers only Agent-Zero-specific conventions the model would not know, with no padding about what YAML or markdown is. | 3 / 3 |
Actionability | Concrete guidance throughout: an exact folder shape, naming rules (lowercase, hyphens, verb-led), placement examples (_browser, _a0_connector, _desktop), and a copy-paste-ready validation command `conda run -n a0 pytest ...`; per the instruction-skill scoring note, absence of code is not penalized when guidance is this actionable. | 3 / 3 |
Workflow Clarity | A numbered 7-step Workflow sequence is paired with a dedicated Validation section containing a concrete command plus a three-step live-path checklist, providing explicit validation checkpoints rather than implicit ones; this skill-authoring task is not destructive/batch work, so no validation-gap cap applies. | 3 / 3 |
Progressive Disclosure | The skill is self-contained guidance with no bundle files (references/, scripts/, assets/ are empty) and is organized into clear sections (Standard Shape, Workflow, Placement, Writing Rules, Validation); per the simple-skills note, well-organized sections with no need for external references score 3. | 3 / 3 |
Total | 12 / 12 Passed |