BF hugo-blog-tool-pro
面向专业博主的 Hugo 博客管理工具，提供批量发布与站点级管理能力。核心能力: - 批量文章发布与定时发布调度 - 多语言站点（i18n）内容管理 - SEO 优化（结构化数据、站点地图、元信息） - CI/CD 自动化部署集成 - 文章系列管理与交叉引用 - 图片资源自动优化与 CDN 集成 适用场景: - 多作者博客团队的协作发布 - 多语言博客站点的同步管理 - SEO 优化的技术博客运营 - 自动化部署的持续发布流程 差异化: 专业版兼容免费版所有发布能力...
面向专业博主的 Hugo 博客管理工具，提供批量发布与站点级管理能力。核心能力: - 批量文章发布与定时发布调度 - 多语言站点（i18n）内容管理 - SEO 优化（结构化数据、站点地图、元信息） - CI/CD 自动化部署集成 - 文章系列管理与交叉引用 - 图片资源自动优化与 CDN 集成 适用场景: -…
As a process F 35/100 · Will not run — References files that are not bundled: <动态配置>
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.
- The text references files that are not there: add them or drop the references.
- 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 240 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 - warning
missing-refreference to a missing file: <动态配置> - 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 35/100
- 0Tools and files. 1 referenced file(s) missing: <动态配置>
- 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
- 100Steps. 32 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2405 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 240: enough signal without eating the budget
- +4Structure: 33 headings
- +3Step-by-step instructions: 32 items
- +4Has examples (16 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 58.