BC lexiang-knowledge-base
乐享知识库 MCP 全功能 Skill。当用户提到「乐享」「知识库」「个人知识库」「我的知识库」「lexiang」，或提供 lexiangla.com 链接，或涉及知识库的搜索/写入/编辑/文件/配置/评论/草稿/智能表格等操作时使用。
乐享知识库 MCP 全功能 Skill。当用户提到「乐享」「知识库」「个人知识库」「我的知识库」「lexiang」，或提供 lexiangla.com 链接，或涉及知识库的搜索/写入/编辑/文件/配置/评论/草稿/智能表格等操作时使用。
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
This is a copy of a skill from another catalog; the rating counts the canonical one: lexiang-knowledge-base (ClawHub)
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.
For the model run — optional
- 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: 33. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-long-hermesdescription is 118 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 "title" - note
frontmatter-keyunknown frontmatter key "display_name" - note
frontmatter-keyunknown frontmatter key "display_name_en" - note
frontmatter-keyunknown frontmatter key "description_zh" - note
frontmatter-keyunknown frontmatter key "description_en" - note
frontmatter-keyunknown frontmatter key "visibility" - note
frontmatter-keyunknown frontmatter key "ambassador"
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. No external tools needed
- 100Steps. 15 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1267 tokens
- 100Running it twice. No mutating operations
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)
- +3Description length 118: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -33 of 3 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +4Structure: 12 headings
- +3Step-by-step instructions: 15 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (22 of 22)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.
External checks
ClawHub: suspicious
This Lexiang skill matches its knowledge-base purpose, but it should be reviewed because it can upload local files and mutate or delete live knowledge-base data with broad triggers and incomplete safety guardrails.
LLM: suspicious (high) · 1 Sept 2026