Content
50%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is reasonably concrete and references a real script, but every dimension lands at the midpoint due to a duplicated header, a missing executable usage example, and absent validation steps for batch/database operations. Fixing these would lift the skill substantially.
Suggestions
Remove the duplicate "## Capabilities" header and trim the Overview sentence that re-states the frontmatter description to recover tokens.
Add a short executable example showing how to import and call analyze_sentiment() from scripts/sentiment_tools.py so the FinBERT path is copy-paste ready.
Add a validation/verification checkpoint for batch_update_news_sentiment() and database writes (e.g., verify row counts or sample labels before committing), since batch operations should not proceed without a feedback loop.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly lean and assumes competence, but the duplicated "## Capabilities" header and the Overview sentence that re-states the description are tokens that could be tightened, so it is not fully efficient. | 2 / 3 |
Actionability | Concrete method signatures, return formats, and a copy-paste LLM prompt are provided, but there is no executable import/call example for the FinBERT path, leaving a key detail missing. | 2 / 3 |
Workflow Clarity | A loose sequence exists for the LLM mode (analyze then update the database), but there are no validation checkpoints for the batch database operation or DB writes, which the rubric caps at 2. | 2 / 3 |
Progressive Disclosure | The reference to scripts/sentiment_tools.py is real and one level deep, but the duplicated "## Capabilities" header is an organization defect and the structure could be better organized. | 2 / 3 |
Total | 8 / 12 Passed |