Content
65%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is highly actionable with concrete SQL and grep patterns, but it lacks validation checkpoints in its remediation workflow and fails to leverage the bundled reference, script, and asset files through clear navigation.
Suggestions
Add explicit validation/feedback steps for destructive remediation, e.g., verify findings in a staging session before applying revoke/SSL/auth changes and re-scan to confirm.
Reference the bundled scripts and templates where relevant (e.g., "run scripts/database_scan.py to automate steps 1–9" and point to assets/report_template.html for the report).
Tighten the Examples section to concise finding/remediation pairs and move the external URLs into a reference file to reduce inline length.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The core instruction list is lean and concrete, but the narrative Examples section and the supplementary Resources list add length that could be trimmed without losing actionable value, keeping it just below the every-token-earns-its-place anchor. | 2 / 3 |
Actionability | Provides concrete, copy-paste-ready SQL per database, specific grep patterns for SQL injection, and explicit commands, fully matching the executable-guidance anchor. | 3 / 3 |
Workflow Clarity | The 10 steps are clearly sequenced, but the workflow has no validation or feedback checkpoints for the destructive remediation it produces (revoking privileges, changing auth, enabling SSL), which caps it at 2 per the database-operations feedback-loop guidance. | 2 / 3 |
Progressive Disclosure | Sections are well organized, but the body references none of the provided bundle files (scripts/database_scan.py, references/, assets/) and keeps per-database SQL detail inline, so content that should be split out is not navigated to. | 2 / 3 |
Total | 9 / 12 Passed |