SKILLEMALL.ai

CD chinese-academic-paper

中文课程论文综述写作与排版导出。触发词:算法综述 / 课程论文 / 作业综述 with 小四 + 宋体 + 双倍行距 + docx+pdf 输出要求;GB/T 7714 参考文献排版;学术作业类长文(约 20 页)。流程覆盖参考文献真实性核查、章节大纲、正文写作、docx+pdf 双格式导出。

ClawHub Agent Skills author: huanmeng9527 v1.0.2 MIT-0 4 files body ≈ 605 tokens Open the sourceclawhub.ai↗ analyzed 7 d ago

中文课程论文综述写作与排版导出。触发词:算法综述 / 课程论文 / 作业综述 with 小四 + 宋体 + 双倍行距 + docx+pdf 输出要求;GB/T 7714 参考文献排版;学术作业类长文(约 20 页)。流程覆盖参考文献真实性核查、章节大纲、正文写作、docx+pdf 双格式导出。

As a process D 37/100 · Unfinished process — References files that are not bundled: references/verification-log.md

ProcedureWordResearchSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
C
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
D
37/100
Unfinished process
References files that are not bundled: references/verification-log.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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: 4. 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")
  • warning missing-ref reference to a missing file: references/verification-log.md

Process rating: all ten parameters 37/100

Will not run. References files that are not bundled: references/verification-log.md
  • 0Tools and files. 1 referenced file(s) missing: references/verification-log.md
  • 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
  • 100Steps. 46 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 605 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress

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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 147: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 46 items
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: clean
This skill is a disclosed Chinese academic paper formatting workflow, with minor setup cautions but no hidden or malicious behavior found.
LLM: benign (high) · VirusTotal: · 10 Oct 2026