BD academic-paper-citation
学术论文引用自动化处理工具。用于处理中文学术论文（特别是硕士/博士论文）的引用管理工作，包括从Word文档提取内容并转换为Markdown、自动识别和提取参考文献列表、在论文正文中智能插入引用标记、将处理后的Markdown转换回Word格式、扩充论文字数以满足字数要求。适用于需要批量处理引用格式、整理参考文献、或扩充论文内容的学术写作场景。当用户提到以下话题时触发：论文引用、参考文献整理、插入引用标记、Word转Markdown、扩充论文字数、学术论文字数不够、整理参考文献、处理论文引用格式。
As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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: 15. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription 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 (python, node) that frontmatter does not declare
- 100Steps. 25 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 509 tokens
- 100Running it twice. No mutating operations
- 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
- +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
- -35 of 12 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 250: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 25 items
- +4Has examples (8 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.
External checks
ClawHub: suspicious
This skill is a local academic document tool, but it uses hard-coded paths, overwrites thesis files, injects canned thesis content, and runs generated JavaScript from document text.
LLM: suspicious (high) · VirusTotal: · 29 May 2026