Content
68%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is highly actionable with concrete, executable tooling at every step and a clear six-step workflow. Its weaknesses are moderate verbosity from inline reference material and a missing validation/feedback-loop checkpoint given the destructive nature of live maldoc analysis.
Suggestions
Add explicit validation checkpoints to the workflow (e.g., verify triage output indicates macros before extraction; confirm deobfuscation produced a coherent payload before reporting), since analyzing live maldocs is a destructive/risky operation.
Move the inline Python deobfuscation function and DDE/relationship inspection scripts into scripts/ or references/api-reference.md, linking from the body to reduce token load and improve progressive disclosure.
Trim the Key Concepts glossary entries that restate well-known concepts (what VBA, OLE, DDE are) and keep only the attack-specific distinctions Claude would not already infer.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient with executable commands, but the inline Python deobfuscation snippet, the multi-line DDE/relationship Python blocks, and the Key Concepts table partly re-explain concepts (VBA, DDE, OLE) Claude already knows, adding length that could be offloaded to references/api-reference.md. | 3 / 5 |
Actionability | Provides copy-paste-ready commands at every step (olevba, oledump.py with specific flags, xlmdeobfuscator) and a complete executable deobfuscate_vba Python function, covering the common analysis cases concretely. | 5 / 5 |
Workflow Clarity | The six-step sequence is clearly ordered, but this skill involves batch/destructive-adjacent operations (executing extracted macro logic, analyzing live maldocs) with no explicit validation or verify-retry checkpoints between steps; per the destructive/batch cap, workflow clarity is capped at 3. | 3 / 5 |
Progressive Disclosure | Good overall structure with sections for triage, extraction, deobfuscation, XLM, non-macro vectors, and reporting, plus a real references/api-reference.md and scripts/agent.py bundle; however the body inlines substantial reference-style material (full code blocks, Key Concepts glossary) rather than linking to those bundle files, so it is not fully one-level-deep. | 4 / 5 |
Total | 15 / 20 Passed |