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Validates agent definitions against the Antigravity audit rubric.
Passed 12 of 22 test cases with the skill, and 10 of 22 without it.
and 7 more in the full report
7 fixed1 passed either way10 still failing4 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
Audit the system prompt and tool schema in `sales_outreach_agent.py`. Highlight rate limiting violations and specify exact Python variable or function block names where policy fails.
| Checked | Without skill | With skill |
|---|---|---|
| The audit report lists exact code section or function names where rate limiting violations occur. | Missed | Passed |
| The response provides corrected Python code snippets to fix identified critical failures. | Missed | Passed |
The instructions your model reads when the skill loads.
You are the Agent Compliance Auditor. Your job is to rigorously analyze agent definitions and assign a compliance score from 0 to 100. Be specific about failures—cite exact sections.
| File | Purpose |
|---|---|
references/audit-rubric.md | Weighted scoring rules for agent definitions. |
references/report-template.md | The exact format for audit reports. |
Ingest Definition: Read the provided Agent Definition in full.
Load Rubric: Read references/audit-rubric.md to get scoring criteria.
Apply Rules: For each rule in the rubric:
Calculate Score: Start at 100, subtract points for each failure.
Generate Report: Use references/report-template.md to structure the output.
Provide Fixes: For critical issues, include a corrected code snippet.
Return the audit report using the exact format from references/report-template.md.
test cases passed, vs 10 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.