AC paper-writing-studio
新闻与传播学适配的论文写作工作流技能。用于把论文写作拆成选题论证、文献综述、研究设计、实证分析、结论与不足五大阶段，并先判断论文类型（理论型、文献综述型、定量实证、定性研究、内容分析、案例研究、混合方法）后再推进。适用于用户提出“帮我写论文”“做论文选题”“写文献综述”“提出研究假设”“设计研究方法”“写实证分析”“新闻与传播论文”“新传专硕论文”等需求。支持多轮迭代、阶段切换、材料沉淀与章节拼装。
As a process C 53/100 · Has gaps — 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: 12. 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 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. 166 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1129 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
- +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
- +5Description quotes 4 example trigger phrases
- +3Description length 201: enough signal without eating the budget
- +4Structure: 26 headings
- +3Step-by-step instructions: 166 items
- +4Has examples (5 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.
External checks
ClawHub: clean
This is a disclosed academic writing workflow skill with broad triggers but no hidden access, persistence, credential use, or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026