SKILLEMALL.ai

AD mba-thesis-advisor

MBA论文写作与排版顾问,帮助提升学位论文至优秀水平。适用场景: (1) 将MBA论文提升至优秀毕业论文水平(如清华优秀毕业论文), (2) 诊断论文初稿问题,(3) 用批判性写法(写法B)改写论文, (4) 构建理论框架,(5) 提炼论文原创贡献,(6) 修改结论使之有洞察力, (7) 论文排版——图表、表格、签名、页面样式、黑白打印适配。 支持 LaTeX 论文(首选 thuthesis 模板)和中国 MBA 论文规范。 触发短语:"帮我改论文", "MBA论文", "优秀毕业论文", "论文诊断", "帮同学改论文", "论文排版", "黑白图表", "论文格式", "签名", "thuthesis".

ClawHub Agent Skills author: Chao1208 v1.3.1 MIT-0 7 files body ≈ 1 510 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureLaTeXInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
D
48/100
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: 7. 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 48/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 66 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1510 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress
  • low 10 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

  • +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
  • +5Description quotes 3 example trigger phrases
  • +3Description length 308: enough signal without eating the budget
  • +4Structure: 34 headings
  • +3Step-by-step instructions: 66 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: clean
This is a documentation-only MBA thesis advising skill with expected thesis-file review and formatting guidance, and no evidence of hidden code, credential access, exfiltration, or persistence.
LLM: benign (high) · VirusTotal: · 29 May 2026