SKILLEMALL.ai

BD shutong

AI 书童,辅助阅读、学习、考试、写作与信息收集。当用户说"书童"、"伴读"、"背书"、"考我"、"查典故"、"整理书架"、"复习"、"备考"、"誊抄"、"代写"、"找书"、"学术动态"、"读书笔记"、"阅读计划"、"知识管理"、"晒书"、"盘点笔记"、"整理知识库"、"补书"、"修补笔记"、"完善笔记"、"抄书"、"做笔记"、"摘要"、"萃取"、"翻到"、"找到"、"模拟面试","模拟答辩","提问","追问","考前冲刺","明天考试","考前速记","今天考试","考后复盘","考试复盘" 时触发。

ClawHub Agent Skills author: Megan v3.4.1 MIT-0 3 files body ≈ 841 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceObsidianInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
D
46/100
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: 3. 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 46/100

  • 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
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Steps. 26 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 841 tokens
  • 100Running it twice. No mutating operations
  • low 11 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 255: enough signal without eating the budget
  • +4Structure: 31 headings
  • +3Step-by-step instructions: 26 items
  • +4Has examples (3 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
This is a broad study and Obsidian note-management skill whose file updates, study tracking, reminders, and web search are disclosed and fit its purpose.
LLM: benign (high) · VirusTotal: · 13 Jul 2026