Content
85%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.
A concise, well-organized hunting workflow with clear sequencing, validation checkpoints, and proper progressive disclosure. The main gap is that the Sigma/query examples are skeletons rather than copy-paste executable artifacts.
Suggestions
Replace the comment-only Sigma YAML skeleton with a minimal but complete, runnable Sigma rule example to raise actionability to 3.
Provide at least one concrete executable SIEM query snippet (e.g. a Splunk SPL or KQL stub) for the lateral-movement hypothesis instead of describing the query in prose.
The hunting-loop.md reference is very short (one line of phases); consider folding its content inline or expanding it so the reference adds real detail.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean body that assumes Claude's competence — it does not explain what Sigma, YARA, or a SIEM are, and every section (workflow, tool table, checklist) earns its place. | 3 / 3 |
Actionability | Concrete field mappings and a tool table are provided, but the Sigma block is a comment-only skeleton and the query steps are described rather than given as executable queries, fitting the "some concrete guidance but incomplete / pseudocode" anchor. | 2 / 3 |
Workflow Clarity | A clear sequenced workflow (hypothesis → query → rule-ify → validate) with explicit validation steps (replay historical logs, Atomic Red Team in authorized lab only) and a completion self-check checklist. | 3 / 3 |
Progressive Disclosure | Overview body points to a real one-level-deep reference (references/hunting-loop.md, confirmed to exist) plus clearly signaled cross-skill references, with content appropriately split. | 3 / 3 |
Total | 11 / 12 Passed |