AC cnki-scholar
中文学术论文搜索工具。搜索中英文论文，覆盖知网、万方、维普等中文数据库的论文。Use when: 用户说「搜论文」「查文献」「知网」「CNKI」「搜索中文学术论文」「找中文文献」，或需要搜索、下载、引用中英文论文。支持OpenAlex API（免费，2亿+论文）和Crossref API（DOI覆盖）。Also activate when: 用户需要学术搜索、论文元数据提取、引用格式生成。
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
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
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 25 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 982 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 196: enough signal without eating the budget
- +4Structure: 18 headings
- +3Step-by-step instructions: 25 items
- +4Has examples (8 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.
External checks
ClawHub: clean
This is an instruction-only academic search helper that discloses its use of public scholarly APIs and shows no hidden persistence, credential access, or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026