Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A highly actionable, well-structured reference with excellent executable examples and clear validation loops. Its main weaknesses are duplicated rule statements across sections and a monolithic layout that forgoes progressive disclosure into separate reference files.
Suggestions
De-duplicate the hybrid-first and observability rules: state each once and cross-reference from the Pitfalls section rather than restating.
Move the 13-tool API reference and/or the Oracle pitfalls into separate reference files under references/, keeping SKILL.md as a concise overview with one-level-deep links.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and mostly high-signal Oracle-specific knowledge, but the hybrid-first rule and the observability rule are each stated twice (once in the rules sections and again in the Pitfalls section), so some tokens could be trimmed. | 2 / 3 |
Actionability | It provides fully executable, copy-paste-ready guidance throughout, including the run_tool.py dispatcher invocations with concrete JSON args, curl pipelines, and a complete CLOB-materialization code block. | 3 / 3 |
Workflow Clarity | Multi-step processes are clearly sequenced with validation checkpoints, notably the observability feedback loop ('if this returns no rows... run init_memory.py and verify.py; the verifier must report...') and the three-step 'Adding your own tool' sequence. | 3 / 3 |
Progressive Disclosure | The file is well-organized into clear sections but is a monolithic ~167-line document with no bundle files, and substantial content such as the 13-tool API reference and the lengthy pitfalls section could be split into separate reference files. | 2 / 3 |
Total | 10 / 12 Passed |