BF academic-thesis-workflow
此技能提供一个标准化、可复现的学术论文生成工作流，通过四个有序步骤将论文主题转化为完整学术论文：主题可行性评估、主题转论证骨架加衍生方向、选定方向优化骨架、骨架转完整论文加自动复核。支持一切学科领域（人文社科与理工科），当用户想要撰写博士论文、硕士论文、期刊论文，或需要从主题出发系统化构建学术论文论证结构时，应使用此技能。
As a process F 35/100 · Will not run — References files that are not bundled: references/内发与共鸣：基于"仁-感"本体的关怀生成论——对吉利根关怀伦理的哲学重构(博士论文大纲).md, references/内发与共鸣：基于"仁-感"本体的关怀生成论——对吉利根关怀伦理的哲学重构.md
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.
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: 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/内发与共鸣：基于"仁-感"本体的关怀生成论——对吉利根关怀伦理的哲学重构(博士论文大纲).md - warning
missing-refreference to a missing file: references/内发与共鸣：基于"仁-感"本体的关怀生成论——对吉利根关怀伦理的哲学重构.md
Process rating: all ten parameters 35/100
Will not run. References files that are not bundled: references/内发与共鸣：基于"仁-感"本体的关怀生成论——对吉利根关怀伦理的哲学重构(博士论文大纲).md, references/内发与共鸣：基于"仁-感"本体的关怀生成论——对吉利根关怀伦理的哲学重构.md
- 0Tools and files. 2 referenced file(s) missing: references/内发与共鸣：基于"仁-感"本体的关怀生成论——对吉利根关怀伦理的哲学重构(博士论文大纲).md, references/内发与共鸣：基于"仁-感"本体的关怀生成论——对吉利根关怀伦理的哲学重构.md
- 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. 44 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1484 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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 162: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 44 items
- +4Reference files are cited in the instructions (1 of 3)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.
External checks
ClawHub: clean
This is a markdown-only academic writing workflow with no evidence of code execution, credential access, persistence, or hidden data movement.
LLM: benign (high) · VirusTotal: · 29 May 2026