BD LLM-Text-Correct
当用户想要**纠正中文文本错误**、**修改拼写错别字**、**修正语法**、**调整标点**、**润色中文句子**、**检查形近字错误**时自动触发。 使用 pycorrector + MacBERT 专业模型进行高精度中文纠错，准确率远高于普通 LLM 直接提示。 支持直接输入一段文字、长文本，或提供文本文件路径。 常见触发口语（越多越好）： - “帮我纠正这段文字” - “修正这个中文文本的错别字” - “帮我改一下这段话的语法和标点” - “检查这段中文有没有错字” - “润色这个句子” / “优化这段文字” - “把这段文字纠错” - “用专业模型修正我的中文” - “文本纠错” / “中文纠错器” - “这段话有错别字，帮我改改” 【重要约束】主要针对中文文本纠错，英文或其他语言优先用普通 LLM 处理。
As a process D 46/100 · 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: 10. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 46/100
- 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
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 100Steps. 15 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 291 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
- +4No input/output examples
- -35 of 6 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +5Description quotes 9 example trigger phrases
- +3Description length 365: enough signal without eating the budget
- +4Structure: 6 headings
- +3Step-by-step instructions: 15 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.