Content
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a well-organized, token-efficient catalog of multimodal attack techniques with clear sections and a self-contained structure. Its main weakness is actionability — the probe is pseudocode and the audio/video fixture guidance is vague — and the test workflow lacks explicit validation checkpoints.
Suggestions
Replace the pseudocode probe with an executable example, e.g. real PIL code that renders white-on-white text onto an image and sends it to the vision endpoint.
Add a concrete ffmpeg command for building audio/video test fixtures instead of the generic 'use ffmpeg' pointer.
Provide an explicit per-technique test workflow with pass/fail criteria and validation steps (run probe → assert expected behavior → record result).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean — terse bullet lists and short section prose that assume Claude's competence and avoid explaining basics like what an image or PDF is; every section earns its tokens. | 3 / 3 |
Actionability | The probe pattern is explicitly labelled '# Pseudo-test' with a non-executable create_image_with_hidden_text stub, and the audio/video guidance reduces to 'use ffmpeg to construct test fixtures', so guidance is concrete but incomplete rather than copy-paste ready. | 2 / 3 |
Workflow Clarity | Sections (Techniques, Probe pattern, Detection, Severity, Defender) provide structure and the probe includes an assertion, but there is no clearly sequenced multi-step test workflow with validation checkpoints for each technique, leaving checkpoints implicit. | 2 / 3 |
Progressive Disclosure | The skill is self-contained with no bundle files present, and content is organized into clearly labeled one-level sections with no nested references, satisfying the well-organized-sections anchor for a reference catalog needing no external files. | 3 / 3 |
Total | 10 / 12 Passed |