BF blog-toolkit
管理 Blog System API v1.0.0 的文章/标签/用户/评论/留言/说说/文件上传/健康检查。 无认证公开 API,27 个子命令(26 API + 1 capability-list),输出 JSON 与 Markdown 表格。 纯 CLI 管理 skill,不含 Grape Agent 加载集成与自动回复 Issue 能力。
管理 Blog System API v1.0.0 的文章/标签/用户/评论/留言/说说/文件上传/健康检查。 无认证公开 API,27 个子命令(26 API + 1 capability-list),输出 JSON 与 Markdown 表格。 纯 CLI 管理 skill,不含 Grape Agent…
As a process F 40/100 · Will not run — References files that are not bundled: references/api-reference.md, templates/test-vars.json
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: references/api-reference.md - warning
missing-refreference to a missing file: templates/test-vars.json - note
frontmatter-keyunknown frontmatter key "triggers" - note
frontmatter-keyunknown frontmatter key "tools"
Process rating: all ten parameters 40/100
- 0Tools and files. 2 referenced file(s) missing: references/api-reference.md, templates/test-vars.json
- 0Result and completion. Does not say what the result is
- 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
- 30Running it twice. 39 mutating operations with no state check
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 26 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1984 tokens
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
- +1No license
- +2Single-language instructions
- +3Description length 174: enough signal without eating the budget
- +4Structure: 19 headings
- +3Step-by-step instructions: 26 items
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.