SKILLEMALL.ai

BD lexiang-knowledge-private

乐享知识库 MCP 全功能 Skill(私有化部署版)。当用户提到「乐享」「知识库」「个人知识库」「我的知识库」「lexiang」,或提供乐享链接,或涉及知识库的搜索/写入/编辑/文件/配置等操作时使用。

ClawHub Agent Skills author: Tencent Lexiang v1.0.0 MIT-0 27 files body ≈ 1 055 tokens Open the sourceclawhub.ai analyzed 2 d ago

乐享知识库 MCP 全功能 Skill(私有化部署版)。当用户提到「乐享」「知识库」「个人知识库」「我的知识库」「lexiang」,或提供乐享链接,或涉及知识库的搜索/写入/编辑/文件/配置等操作时使用。

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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: 27. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 49/100

  • 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
  • 40Consistency. Frontmatter name (lexiang-knowledge-private) differs from the folder (lexiang-private-skills)
  • 100Tools and files. No external tools needed
  • 100Steps. 13 steps
  • 100Execution cost. Instruction body is 1055 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 102: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -33 of 3 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 13 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (19 of 19)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.

External checks

ClawHub: clean
This appears to be a legitimate private Lexiang knowledge-base connector, with expected but sensitive token, file upload, and write capabilities.
LLM: benign (medium) · VirusTotal: · 9 Jul 2026