BF auto-paper-writer
自动撰写科研论文的完整 AI pipeline。当用户说"撰写[方向]论文"、"自动写论文"、"生成论文"时触发。功能包括：(1) 搜索 ArXiv 最新论文并下载原始 PDF；(2) 总结现有工作局限性；(3) 设计创新模型框架；(4) 撰写双栏 LaTeX 论文（IEEEtran格式）；(5) 生成科研级 matplotlib 配图；(6) 编译 PDF 并保存到桌面。此技能仅生成学术论文框架和创新点思路，不保证内容创新性和实验真实性，用户需自行在 Overleaf/本地 LaTeX 中补充实验结果和细节调整。
As a process F 35/100 · Will not run — References files that are not bundled: references/paper_references.md, references/*.pdf, references/Bidirectional_Cross-Modal_Prompting_for_Event-Frame.pdf
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
- 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: 5. 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") - warning
missing-refreference to a missing file: references/paper_references.md - warning
missing-refreference to a missing file: references/*.pdf - warning
missing-refreference to a missing file: references/Bidirectional_Cross-Modal_Prompting_for_Event-Frame.pdf - warning
missing-refreference to a missing file: references/MM-WebAgent_A_Hierarchical_Multimodal_Web_Agent.pdf
Process rating: all ten parameters 35/100
- 0Tools and files. 4 referenced file(s) missing: references/paper_references.md, references/*.pdf, references/Bidirectional_Cross-Modal_Prompting_for_Event-Frame.pdf
- 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
- 100Steps. 43 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1137 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
- -4Absolute local paths (C:\Users, /home/…): not portable
- +1No license
- +2Single-language instructions
- +3Description length 260: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 43 items
- +4Has examples (7 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.