Content
92%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is concise, actionable, and workflow-clear with explicit decision logic and error-recovery feedback loops. The only gap is progressive disclosure: real reference bundles exist but are not linked or signaled in the SKILL.md body.
Suggestions
Add explicit inline links to the bundle files where relevant, e.g. 'See [task_grammar.md](references/task_grammar.md) for parsing patterns' under Step 1 and 'See [verification_examples.md](references/verification_examples.md)' near the decision table.
Consider a short 'References' section listing task_grammar.md and verification_examples.md with one-line descriptions so the supporting material is discoverable from the SKILL.md overview.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean body with no padded explanations of what ALFWorld is or general concepts; the decision table and examples are tight and every token earns its place. | 3 / 3 |
Actionability | Provides exact output strings, concrete observation patterns to match (e.g. 'Nothing happened'), and a worked example with real Action/Observation lines that is effectively copy-paste ready. | 3 / 3 |
Workflow Clarity | Clear 4-step sequence (Parse → Analyze → Decide → Output) with an explicit decision table and feedback loops for recovery (re-examine on ambiguity, re-count quantities, retry on ineffective action). | 3 / 3 |
Progressive Disclosure | Bundle files task_grammar.md and verification_examples.md exist and are one level deep, but the body never links to or signals them inline, so navigation to the supporting material is implicit rather than clear. | 2 / 3 |
Total | 11 / 12 Passed |