BD Funasr-Punctuation-Restore
当用户想要**给文本恢复标点**、**ASR 转录结果加标点**、**无标点文本加标点**、**转录文本整理标点**、**批量给文件或目录加标点**时自动触发。 使用 FunASR ct-punc 模型，为一段文本、单个记事本文件（.txt）、或整个目录一键恢复中文/英文标点符号。 支持直接输入文本、单个文件路径、或整个文件夹路径（目录模式会自动在同级创建 _punctuated 镜像目录，原文件/目录不变）。 【重要约束】只处理文本标点恢复，不处理音频转录、翻译或其他 NLP 任务。 常见触发口语（越多越好）： - “帮我给这段文本加标点” - “把这个转录结果恢复标点” - “ASR 文本加标点” - “这段话没有标点，帮我整理一下” - “给这个 txt 文件加标点” - “批量给文件夹里的所有文本文件加标点” - “恢复这个文本的标点符号” - “FunASR 加标点” - “把这个无标点文本变正常”
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: 8. 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. 11 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 254 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
- -34 of 5 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +5Description quotes 9 example trigger phrases
- +3Description length 412: enough signal without eating the budget
- +4Structure: 5 headings
- +3Step-by-step instructions: 11 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.