SKILLEMALL.ai

BD cnki-paper-check

当用户询问或操作知网本科/专科、硕博、期刊、AIGC(含 8 万字符及以上)检测,或需要在 cnki.cqccjy.cn 选择产品、上传论文、查询订单、交接支付、下载报告、阅读报告或验真时使用。该 Skill 固定使用 CQCCJY 的 /pzw、/zw 公共用户端和公开接口;不自动支付、不代填检测卡/验证码、不操作后台人工履约,也不把个人预检承诺为学校或期刊终检。

ClawHub Agent Skills author: zslzxy v1.0.0 MIT-0 17 files · 2 scripts body ≈ 2 044 tokens Open the sourceclawhub.ai↗ analyzed 7 d ago

当用户询问或操作知网本科/专科、硕博、期刊、AIGC(含 8 万字符及以上)检测,或需要在 cnki.cqccjy.cn 选择产品、上传论文、查询订单、交接支付、下载报告、阅读报告或验真时使用。该 Skill 固定使用 CQCCJY 的 /pzw、/zw…

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureWordSoftware developmentData and analyticsCustomer supporttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
D
43/100
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: 16. 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 43/100

  • 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
  • 30Running it twice. 4 mutating operations with no state check
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 71 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2044 tokens
  • 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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 184: enough signal without eating the budget
  • +4Structure: 33 headings
  • +3Step-by-step instructions: 71 items
  • +4Reference files are cited in the instructions (9 of 9)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This skill is a clearly scoped CNKI paper-checking workflow that uploads user-selected papers and manages public order/report steps without hidden payment, admin, or persistence behavior.
LLM: benign (high) · VirusTotal: · 3 Oct 2026