BD academic-language-optimizer
对论文文本进行深度学术优化，消除AI写作常见的模板化、重复性表达，使语言风格完全符合人类学者的正式、客观、严谨与委婉特点，提升文本的自然流畅度和学术辨识度。核心升级：在原有九个步骤基础上，新增“步骤零-2：Human Stylistic Calibration（人类学者用语校准）”，严格对标2024–2026年国内外医学/学术文献中人类学者（尤其是研究生/中级研究者）真实写作习惯，包括自然hedging、句子节奏多样性、上下文驱动的过渡、适度研究者立场与问题意识、避免过度名词化和模板化，确保输出达到研究生水准的学术表达。
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.
- 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: 2. 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 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-language-optimizer) differs from the folder (academic-rewriter-description)
- 100Tools and files. No external tools needed
- 100Steps. 24 steps
- 100Execution cost. Instruction body is 678 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 263: enough signal without eating the budget
- +4Structure: 18 headings
- +3Step-by-step instructions: 24 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.