shogun-screenshot
スクリーンショットの取得・加工を行う。ローカルスクショから最新画像を取得、 PlaywrightでWebページをキャプチャ、画像のトリミング・リサイズ、機微情報を黒塗りマスキング。 記事執筆、レポート作成、UI確認、画像加工時に起動。 「スクショ」「スクリーンショット」「画面キャプチャ」「最新のスクショ」「画像加工」「トリミング」「マスク」「写メ」「写メ撮った」「スクショ撮った」で起動。 Do NOT use for: 画像生成（shogun-imagegenを使え）。
84
82%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Quality
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a well-crafted skill description that excels across all dimensions. It provides specific concrete actions, comprehensive trigger terms including colloquial Japanese variations, clear 'what' and 'when' guidance, and even a negative boundary to prevent conflicts with image generation skills. The description uses third person voice appropriately throughout.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: retrieving latest screenshots from local storage, capturing web pages with Playwright, trimming/resizing images, and masking sensitive information with black overlay. | 3 / 3 |
Completeness | Clearly answers both 'what' (screenshot capture, Playwright web capture, trimming/resizing, masking) and 'when' (記事執筆、レポート作成、UI確認、画像加工時に起動) with explicit trigger terms listed. Also includes a 'Do NOT use for' clause to prevent misuse, which adds clarity. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural trigger terms in Japanese including colloquial variations: 「スクショ」「スクリーンショット」「画面キャプチャ」「最新のスクショ」「画像加工」「トリミング」「マスク」「写メ」「写メ撮った」「スクショ撮った」. These are terms users would naturally say. | 3 / 3 |
Distinctiveness Conflict Risk | Clearly carved niche around screenshot capture and image processing with explicit exclusion of image generation (directing to shogun-imagegen instead). The specific trigger terms and the negative boundary make it highly distinguishable from other skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
64%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a solid, actionable skill with concrete executable commands for all four modes and good configuration management. Its main weaknesses are some unnecessary preamble (North Star, When to Use sections that don't aid execution), missing validation steps in Modes 2-3, and all content being packed into a single file rather than using progressive disclosure for the four distinct modes.
Suggestions
Remove or drastically shorten the 'North Star' and 'When to Use' sections — these don't help Claude execute the skill and waste tokens.
Add validation steps to Mode 2 (verify screenshot file exists after capture) and Mode 3 (verify trimmed output, check dimensions), as these are file-manipulation operations.
Consider splitting detailed mode instructions into separate files (e.g., modes/web-capture.md, modes/masking.md) and keeping SKILL.md as a concise overview with links.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The 'North Star' section and 'When to Use' section add little value for Claude's execution. The 'Input' and 'Overview' sections have some redundancy. However, the core instructions are reasonably efficient with concrete commands. | 2 / 3 |
Actionability | Each mode provides concrete, executable bash/python commands with specific flags and arguments. The scripts have clear CLI interfaces with real options (--crop, --regions, --preview, --color). Commands are copy-paste ready. | 3 / 3 |
Workflow Clarity | Mode 4 has a good validation workflow (preview → confirm → execute), and Mode 1 has clear fallback logic. However, Mode 2 and Mode 3 lack validation/verification steps (e.g., confirming the screenshot was saved correctly, verifying trim output). The guidelines mention batch processing but provide no validation for it. | 2 / 3 |
Progressive Disclosure | Content is well-structured with clear sections per mode, but everything is inline in a single file. The configuration, four full mode descriptions with code examples, and guidelines make this fairly long. Helper scripts are referenced but no separate documentation files are linked for advanced usage. | 2 / 3 |
Total | 9 / 12 Passed |
Validation
81%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 9 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 9 / 11 Passed | |
- Repository
- yohey-w/multi-agent-shogun
- Commit
3dafe0a
- Reviewed
Table of Contents
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