SKILLEMALL.ai

AD cjournal-analyzer

C刊(CSSCI来源期刊)论文全面分析工具。当用户提供一个具体的C刊期刊名称(如"管理世界"、 "社会学研究"、"经济研究"等)时,自动通过知网(CNKI)查询该期刊最近5年所有期次的文章 目录、作者和摘要信息,并生成专业的Word分析报告。报告包含:选题热点趋势、高频关键词、 研究方法偏好、核心作者群、栏目主题演变、研究空白识别、投稿方向建议等全维度分析。 触发条件:用户提到需要分析某个C刊/CSSCI期刊/核心期刊的发文趋势、选题偏好、投稿方向; 或提供中文学术期刊名称并要求查看近年发表论文的主题分布和趋势;或说"帮我分析一下XX期刊"。 注意:本skill用于期刊层面的宏观分析,不同于paper-analyzer(单篇论文拆解)和 literature-review-writer(文献综述写作)。

ClawHub Agent Skills author: yipng05-max v1.0.0 MIT-0 4 files body ≈ 1 015 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

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
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: 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")

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. 20 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1015 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 356: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 20 items
  • +4Has examples (6 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: clean
This skill is a disclosed CNKI journal-analysis tool that collects journal article metadata, analyzes it locally, and generates a Word report, with no evidence of hidden persistence, credential theft, or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026