Content
82%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 content is lean, executable, and well-structured with a real backing script and clear outcome-based branching. Merging the redundant Step 2/3 output handling and adding an explicit pre-run formula validation checkpoint would push it higher.
Suggestions
Collapse the overlapping output-interpretation content in Step 2 and Step 3 into a single section to remove redundancy.
Add an explicit validation checkpoint (e.g. check that variables are declared and the negated formula parses) before invoking the prover.
Consider moving the full parameters table to a short reference block or keeping it inline but trimming duplicate default descriptions.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is efficient and assumes competence, using a tight Action/Expectation/Result structure without explaining SMT basics, but Step 2 and Step 3 redundantly restate the output interpretation. | 4 / 5 |
Actionability | Provides copy-paste-ready, executable commands for the common cases (conjecture+vars, file input, debug tracing) backed by the real scripts/prove.py, covering the typical invocation patterns. | 5 / 5 |
Workflow Clarity | Steps are clearly sequenced with outcome-based branching (valid/invalid/unknown/timeout) as feedback loops, but there is no explicit validation checkpoint of the formula before running and Steps 2-3 overlap. | 4 / 5 |
Progressive Disclosure | Well-organized into labeled sections with a one-level-deep reference to scripts/prove.py and clearly signaled cross-skill links (encode, explain, simplify); the inline parameters table is appropriately sized for this skill. | 4 / 5 |
Total | 17 / 20 Passed |