AD academic-polish
学术写作润色与批判性框架搭建，支持中英文双语。用于： - 中文润色：去除AI痕迹、逻辑缺陷审查、戴锦华式批判/汪民安式理论阐述 - 英文润色：地道学术英语表达、 hedging策略、IMRAD结构优化、期刊风格适配 - 逻辑审查：逻辑踏空、结论过重、稻草人谬误识别 - 追问与反方观点回应框架 适配人文社科领域，融合戴锦华批判写作与汪民安理论阐述方法论。
As a process D 49/100 · 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: 21. 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") - note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 49/100
- 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
- 40Consistency. Frontmatter name (academic-polish) differs from the folder (aymmo-academic-polish)
- 100Tools and files. No external tools needed
- 100Steps. 83 steps
- 100Execution cost. Instruction body is 1428 tokens
- 100Running it twice. No mutating operations
- low 11 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
- +2Single-language instructions
- +3Description length 178: enough signal without eating the budget
- +4Structure: 37 headings
- +3Step-by-step instructions: 83 items
- +4Has examples (9 code blocks)
- +4Reference files are cited in the instructions (10 of 13)
- +3All 1 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.
External checks
ClawHub: clean
This skill is a coherent academic writing assistant with no evidence of hidden data access, persistence, network behavior, or destructive actions.
LLM: benign (high) · VirusTotal: · 18 Jun 2026