BC jellyfin-control-tool-free
轻量级 Jellyfin 媒体服务器控制工具，支持内容搜索、播放控制与设备管理，适合个人家庭影音娱乐使用。核心能力: - 一键播放：搜索内容并自动开始播放 - 智能续播：自动定位上次观看位置 - 设备发现：自动检测可控设备 - 播放控制：暂停、继续、下一集、音量控制 适用场景: - 个人家庭影音播放控制 - 电视剧追剧续播 - 电影快速搜索播放 差异化: - 免费版聚焦单设备控制，操作简单 - 一键播放，无需手动操作电视 - 智能续播...
轻量级 Jellyfin 媒体服务器控制工具，支持内容搜索、播放控制与设备管理，适合个人家庭影音娱乐使用。核心能力: - 一键播放：搜索内容并自动开始播放 - 智能续播：自动定位上次观看位置 - 设备发现：自动检测可控设备 - 播放控制：暂停、继续、下一集、音量控制 适用场景: - 个人家庭影音播放控制 -…
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-long-hermesdescription is 222 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period) - warning
description-no-whenneither description nor a "## When to Use" section says when to use the skill - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "summary" - note
frontmatter-keyunknown frontmatter key "edition" - note
frontmatter-keyunknown frontmatter key "tools" - note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 53/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 100Tools and files. Tools declared in frontmatter
- 100Steps. 23 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1761 tokens
- 100Running it twice. No mutating operations
- low 13 top-level sections: this looks like several domains in one skill
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +3Description length 222: enough signal without eating the budget
- +4Structure: 41 headings
- +3Step-by-step instructions: 23 items
- +4Has examples (14 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.