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）。

Quality

88%

Does it follow best practices?

Impact

—

No eval scenarios have been run

Securityby

Advisory

Suggest reviewing before use

Quality

Content

77%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This is a well-structured, actionable skill with clear executable commands for each mode and a good validation workflow for the masking operation. Its main weaknesses are moderate verbosity (the North Star and When to Use sections are unnecessary for Claude) and the lack of bundle files to support the referenced scripts. The four-mode organization is logical and each mode's instructions are concrete and followable.

Suggestions

Remove the 'North Star' and 'When to Use' sections—these are meta-context that Claude doesn't need for execution and consume tokens.

Provide the referenced helper scripts (capture_local.sh, trim_image.py, mask_sensitive.py) as bundle files, or note if they need to be created by the user.

Dimension	Reasoning	Score
Conciseness	The 'North Star' section and 'When to Use' section add little value for Claude's execution. The 'Configuration' section is useful but the overall content could be tightened—some explanatory text (e.g., what masking is for) is unnecessary for Claude. However, it's not egregiously verbose.	2 / 3
Actionability	Each mode provides concrete, executable commands with specific script paths, CLI arguments, and options. The bash and python commands are copy-paste ready with clear parameter formats (e.g., --crop "x1,y1,x2,y2", --regions syntax).	3 / 3
Workflow Clarity	Mode 1 has a clear fallback sequence with error suppression. Mode 4 has an explicit validation workflow: preview with --preview flag → confirm coordinates → execute without --preview. The multi-step processes are well-sequenced with checkpoints where they matter most (masking sensitive data).	3 / 3
Progressive Disclosure	The content is reasonably structured with clear mode sections, but everything is inline in a single file. The skill references helper scripts (capture_local.sh, trim_image.py, mask_sensitive.py) and config files, but no bundle files are provided to verify they exist. The configuration section and guidelines could potentially be separated for a cleaner overview.	2 / 3
	Total	10 / 12 Passed

Description

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 an excellent skill description that covers all key dimensions thoroughly. It lists specific concrete capabilities, provides extensive natural-language trigger terms (including colloquial Japanese variations), explicitly states both what it does and when to use it, and even includes a negative boundary to prevent conflicts with an image generation skill. The use of third person voice and concise structure makes it highly effective for skill selection.

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 and even a 'Do NOT use for' exclusion clause.	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 (pointing to shogun-imagegen). The specific trigger terms and the negative boundary make it highly distinguishable from other skills.	3 / 3
	Total	12 / 12 Passed

Validation

81%

Warnings & errors only

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: 431b86a

Reviewed: 28 days ago

Table of Contents

Discovery Implementation Validation

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.