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Agent Skill · 研究检索

essay-voice-matcher(论文语音匹配器)

用于辅助音频、音乐、语音转写、语音合成或声音素材处理。它适合让 Agent 生成配乐说明、整理音频流程、调用语音工具或处理播客和视频配音素材。使用时需要确认输入音频来源、输出格式、时长和模型限制;涉及人声克隆、版权音乐或公开发布时,应先核对授权和合规边界。

essay-voice-matcher 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,674 个 Skill 里排第 67,317。

总安装 247周安装 10GitHub Stars 5下载 78核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:essay-voice-matcher(论文语音匹配器)
来源仓库:https://github.com/dangeles/claude
仓库路径:skills/essay-voice-matcher
安装命令:
npx skills add https://github.com/dangeles/claude --skill essay-voice-matcher
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/dangeles/claude --skill essay-voice-matcher

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

essay-voice-matcher 评估文本是否符合预设的声音特征 profile。分析语气、句式模式、术语偏好和修辞习惯等多项指标。仅返回一致性评分与偏差说明,不提供内容创作或结构调整建议。适用于多作者协作项目或品牌文案的声音统一管理工作。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/essay-voice-matcher

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/dangeles/claude --skill essay-voice-matcher;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

essay-voice-matcher 怎么安装?

在终端执行 npx skills add https://github.com/dangeles/claude --skill essay-voice-matcher。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

essay-voice-matcher 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

essay-voice-matcher 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

essay-voice-matcher 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

essay-voice-matcher 用的人多吗?

公开数据是累计安装 247 次,近一周安装 10 次,下载 78 次,GitHub 5 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

essay-voice-matcher 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
essay-voice-matcher

论文语音匹配器 · 本页

2475只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Essay Voice Matcher

Announce: "I'm using the essay-voice-matcher skill for voice consistency evaluation."

Responsibility

You ONLY evaluate voice consistency. You do NOT write prose, verify facts, develop arguments, or restructure essays. You receive text and a style profile from the essay-pipeline orchestrator and return a structured voice assessment.

Evaluation Process

Step 1: Read Style Profile

Extract voice characteristics from the user's style profile:

  • Voice and tone (register, formality, personality)
  • Sentence patterns (average length, rhythm, opening patterns)
  • Vocabulary (technical terms, hedging patterns, overused words, forbidden words)
  • Rhetorical patterns (analogies, evidence presentation, uncertainty handling, conclusions)
  • Structural habits (paragraph length, transitions, opening/closing strategies)
  • Things the user avoids

Step 2: Evaluate Text Against Profile

For each dimension in the profile, assess whether the text matches:

DimensionCheck
RegisterDoes the text's formality level match the profile?
Sentence lengthDoes the average sentence length fall within the profile's range?
Sentence rhythmDoes the text alternate long/short sentences as described?
VocabularyAre forbidden words absent? Are overused words present at expected frequency?
Technical termsAre they handled as described (defined in context, parenthetical, etc.)?
HedgingDoes the text use the user's hedging patterns?
AnalogiesAre analogies drawn from the right domains? At the right frequency?
Evidence presentationIs evidence presented in the user's preferred order?
Paragraph lengthAre paragraphs within the stated range?
TransitionsAre section transitions handled as described?
Opening/closingDo openings and closings follow the user's patterns?

Step 3: Consult Raw Samples (When Needed)

If the style profile does not cover a specific situation, read relevant portions of 2-3 sample essays to find patterns. Common gaps:

  • How the user handles long quotations
  • How the user introduces technical jargon in non-technical sections
  • How the user handles lists or enumerations
  • How the user uses humor or wit
  • How the user manages paragraph-to-paragraph flow

Report: "Profile did not cover [situation]. Based on sample essays, the user tends to [observed pattern]."

Scoring Rubric

5/5 -- Strong Match

The text reads as if the user wrote it. All major voice dimensions match the profile. Minor variations are within the user's natural range.

  • Sentence rhythm matches
  • Vocabulary is on-profile (no forbidden words, characteristic words present)
  • Rhetorical patterns align
  • Tone and formality are correct
  • A reader familiar with the user's writing would not notice a difference

4/5 -- Good Match

The text mostly reads like the user. One or two minor dimensions are slightly off, but the overall voice is correct.

  • Most dimensions match
  • 1-2 minor deviations (e.g., slightly longer sentences than typical, one analogy from an unusual domain)
  • Easily fixable with targeted edits
  • A reader might notice subtle differences but would still recognize the voice

3/5 -- Partial Match

The text captures some aspects of the user's voice but misses others. Noticeable drift in multiple dimensions.

  • Core tone is approximately right
  • 3+ dimensions deviate from profile
  • Some forbidden words or AI-typical phrases present
  • Requires moderate revision to match voice
  • A reader would notice this doesn't quite sound like the user

2/5 -- Weak Match

The text does not sound like the user. Multiple major dimensions are off. The voice feels generic or artificially constructed.

  • Tone/formality mismatch
  • Vocabulary is off-profile
  • Sentence patterns do not match
  • Requires significant rewriting
  • Flag for revision before proceeding

1/5 -- No Match

The text sounds nothing like the user. This suggests a fundamental misunderstanding of the style profile or a very vague profile.

  • Nearly all dimensions mismatch
  • Pause pipeline progression
  • Recommend reviewing the style profile for clarity and completeness
  • Consider whether the profile accurately represents the user's voice

Input Format

text: |
  [The text to evaluate -- paragraph, section, or full essay]
style_profile_path: "/path/to/style-profile.md"
sample_essays_path: "/path/to/samples/"
context:
  stage: 4
  section: 3
  paragraph: 2
  content_type: "core argument"
previous_assessments:
  - section: 1
    score: 4
    key_observations:
      - "Slightly more formal than profile suggests"
      - "Good use of characteristic hedging patterns"
  - section: 2
    score: 5
    key_observations:
      - "Strong match across all dimensions"
calibration:
  user_rated_accuracy: 4  # User's rating of first assessment accuracy (1-5)
  calibration_notes: "User said voice assessment was mostly accurate but they actually use more contractions than the profile states"
voice_reference_mode: "profile"  # profile (default), sample, hybrid

Output Format

assessment:
  consistent: true  # or false
  score: 4
  observations:
    - dimension: "sentence_rhythm"
      match: true
      detail: "Text alternates long explanatory sentences with short punchy ones, matching the profile pattern."
    - dimension: "vocabulary"
      match: true
      detail: "No forbidden words detected. Characteristic hedging ('tends to', 'the evidence suggests') present."
    - dimension: "paragraph_length"
      match: false
      detail: "Paragraph is 7 sentences (profile says max 6). Consider splitting after sentence 4."
    - dimension: "technical_terms"
      match: true
      detail: "Terms defined in context as described in profile."
  suggestions:
    - "Split the paragraph after 'something else doesn't.' to stay within the 3-5 sentence range."
    - "The phrase 'it is important to note' in sentence 3 is an AI-typical construction. Consider replacing with a more natural transition."
  profile_gaps:
    - "Profile does not specify how to handle parenthetical citations. Sample essays show the user prefers inline mentions ('as a 2024 Nature review found')."

Profile-Sample Conflict Detection

When the style profile and raw samples disagree on a dimension:

  1. Identify the conflict: "Profile says paragraphs are 3-5 sentences, but 60% of sample paragraphs are 4-7 sentences."
  2. Assess significance: Minor (within natural variation) vs. Significant (profile may be aspirational rather than descriptive)
  3. Flag with recommendation:

- Minor: "Slight discrepancy noted; using profile as primary reference." - Significant: "Significant discrepancy on [dimension]. Recommend the user review and update their profile. For now, using [profile/sample/hybrid] as reference."

Cumulative Context

To maintain voice consistency across an essay:

  1. Receive all previous assessments as input on each invocation
  2. Track voice drift: If early sections scored 5/5 but later sections are dropping, note the trend
  3. Maintain consistency: If a particular pattern was praised in Section 1, ensure it continues
  4. Cross-section coherence: Evaluate whether the text sounds like it was written by the same person as previous sections

Calibration Protocol

On the first invocation, the orchestrator asks the user to rate the assessment's accuracy. This calibration feedback adjusts subsequent evaluations:

  • User says assessment was too strict: Relax thresholds slightly; focus only on major deviations
  • User says assessment was too lenient: Tighten thresholds; flag more subtle deviations
  • User corrects a specific dimension: Update internal understanding (e.g., "user actually uses more contractions than profile states")
  • Calibration is saved in session state and provided on subsequent invocations

Voice Reference Priority Modes

The orchestrator sets the mode based on user preference or conflict detection:

ModeWhen UsedBehavior
profile (default)Profile is clear and matches samplesStyle profile is primary reference
sampleUser chose this after profile-sample conflictRaw essays are primary reference
hybridProfile-sample conflict, user chose compromiseWeight both equally; flag any remaining conflicts

Error Handling

ErrorAction
Style profile not foundReturn error; cannot evaluate without profile
Style profile is too vagueReturn assessment with lower confidence; note which dimensions lack profile guidance
Sample essays not foundProceed with profile only; note that sample verification is unavailable
Sample essays are in a different genre/styleFlag the mismatch; rely primarily on profile
Text is too short for meaningful evaluationProvide provisional assessment; note limited confidence

平台分布

Codex

36.74%
按下载量换算29

Claude

26.05%
按下载量换算20

Cursor

19.68%
按下载量换算15

Gemini CLI

9.25%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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