Content
65%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.
An exceptionally actionable body — every workflow has executable commands, real flags, and a complete batch example — and script navigation is accurate against the actual bundle. It is held back by redundancy (extension rules repeated in four places, 11 near-identical tag bullets), missing validation checkpoints for batch operations, and the absence of any progressive-disclosure layer, leaving everything in one long SKILL.md.
Suggestions
Consolidate the extension guidance scattered across 'Core capabilities', the generate_video.py extension examples, 'Prompts for extending a video', and 'Video extension constraints and guidelines' into a single section to remove repetition and cut tokens.
Add an explicit validation checkpoint to the Workflow section (e.g. verify each batch job's output exists and open failed jobs' error logs before reporting to the user), which would also lift the batch path above the workflow-clarity cap.
Move the detailed prompting guide (tag declarations, timing, meta prompting, text-in-video) into a references/prompting.md file and keep a short summary with a one-level-deep pointer in SKILL.md, reducing the main file to an overview.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and free of generic-concept padding, but has real tightening opportunities: extension rules are repeated across four sections ("Core capabilities", "Video extension (extend an existing video)", "Prompts for extending a video", "Video extension constraints and guidelines"), the "Declaring sources and references" section lists 11 near-identical tag bullets, and time-sensitive version pins ("google-genai >= 2.19.0", "Python >= 3.10") sit outside any deprecated section. This matches 'mostly efficient but could be tightened' rather than the 'minor instances' of the level 4 anchor. | 3 / 5 |
Actionability | Every capability ships a copy-paste-ready command with concrete flags and defaults — e.g. './scripts/video/generate_video.py "A close-up of a cat drinking tea" --output media/cat_tea.mp4', '--resolution 1080p --timeout 900', 'pip install -U google-genai', plus a fully executable 5-job batch JSON example. Coverage of common cases is complete. | 5 / 5 |
Workflow Clarity | The Workflow section gives a clear 3-step sequence (analyze request, run SDK scripts, retrieve output) and documents failure signatures ("total_output_tokens: 0"), but verification is implicit — inspect_video.py is presented as a tool rather than wired in as a validation checkpoint, and the parallel batch paths (--batch, --prompts-file --concurrency 3) have no described per-job result verification. Per the rubric's cap, batch operations without feedback loops cap workflow clarity at 3. | 3 / 5 |
Progressive Disclosure | The bundle is clean — all four referenced scripts (upload_file.py, generate_video.py, inspect_video.py, prep_video.py) exist exactly one level deep — but there is no reference layer at all: the ~150-line prompting guide (tag syntax, timing, meta prompting) and full dependency details are inlined in a ~450-line SKILL.md instead of being split into a separate reference file. This matches 'content that should be separate is inline' at level 3 rather than the well-split structure of level 4. | 3 / 5 |
Total | 14 / 20 Passed |