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style-harmonizer风格协调器

Agent Skill

style-harmonizer 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

832

周安装

34

GitHub Stars

422

下载量

267
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

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:style-harmonizer(风格协调器)
来源仓库:https://github.com/willoscar/research-units-pipeline-skills
仓库路径:skills/style-harmonizer
安装命令:
npx skills add https://github.com/willoscar/research-units-pipeline-skills --skill style-harmonizer
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/willoscar/research-units-pipeline-skills --skill style-harmonizer

简介

style-harmonizer 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果时使用。
  • 通过 npx skills add 命令从指定仓库安装,具体用法需结合 README 进一步确认。
  • 安装前建议确认权限范围、维护状态及是否涉及联网、命令执行或文件读写操作。
  • 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。

SKILL.md

Style Harmonizer (de-slot editor)

Purpose: remove subtle generator-voice signals that can survive structural gates.

This skill is not a full rewrite. It is a targeted rewrite queue:

  • only touch the specific sections/*.md files flagged under ## Style Smells
  • keep facts and citation keys unchanged

Inputs

Required:

  • output/WRITER_SELFLOOP_TODO.md (Style Smells section)
  • the referenced sections/*.md files

Optional (helps you stay in-scope while rewriting):

  • outline/writer_context_packs.jsonl (allowed citations + opener_mode hints)

Output

Note: this is intentionally an *openers-last* pass. Run it only after the section bodies and argument chain are stable (e.g., after section-logic-polisher + argument-selfloop + paragraph-curator). If major edits happened since the last writer-selfloop, rerun writer-selfloop first so ## Style Smells reflects the current text. Current compatibility policy: the script is marker-only; surface-form repair should be pushed upstream into subsection-writer / chapter-lead-writer unless a human explicitly wants a local rewrite pass.

  • Updated sections/*.md files (same filenames; still body-only; no headings)
  • Re-running writer-selfloop is the audit trail (Style Smells should shrink).
  • Create sections/style_harmonized.refined.ok (empty file) when you are done (pipeline contract signal; required if this unit is marked DONE).

Role cards (use explicitly)

Style Harmonizer (editor)

Mission: remove slot phrases and stem repetition while keeping meaning unchanged.

Do:

  • rewrite the surface form (opener/closer/cadence), not the claim
  • keep each paragraph content-bearing (argument bridge, not navigation)
  • prefer small local edits over global style refactors

Avoid:

  • adding new factual claims or new citations
  • moving citations to different paragraphs or different subsections
  • rewriting a thin section instead of routing upstream for more evidence

Evidence Steward (skeptic)

Mission: prevent style work from becoming content drift.

Do:

  • after each rewrite, spot-check that every cited claim still matches the same sentence
  • if you feel forced to add new material to make prose sound better, stop and route upstream

Common style smells and how to fix them

1) Count-based opener slots (Two limitations..., Three takeaways...)

Why it is high-signal: it creates a reusable sentence slot that repeats across H3s.

Rewrite moves (choose one):

  • Integrate the caveat into a contrast paragraph (last sentence): state the boundary that changes interpretation.
  • Use a single caveat sentence opener (no counting), but rotate across H3s (avoid repeating the same stem): "These results hinge on..." / "Interpretation depends on..." / "Evidence is thin when..." / "A caveat is that..." (use sparingly).
  • If enumeration is truly needed, hide the count: use two coordinated clauses in one sentence, or vary the syntax (do not repeat across sections).

Mini example (paraphrase only):

  • Bad: Two limitations stand out. First,...
  • Better: These results hinge on...; this matters because it changes how results transfer across protocols.

2) Reused discourse stems (The key point is that...)

Rewrite moves:

  • Replace with one of: "A practical implication is that...", "One takeaway is that...", "A useful way to read these results is...".
  • Change cadence: split into a short claim sentence plus a follow-up sentence with the condition/why.

3) Same opener cadence across many H3s

Rewrite moves:

  • Switch opener mode for the section (tension-first / decision-first / protocol-first / contrast-first).
  • Replace generic connectors (Additionally/Moreover) with content-bearing pivots ("At the protocol level,...", "Under budget constraints,...").

4) Overview / narration openers ("This section provides an overview...")

Why it is high-signal: it reads like a generated ToC narration rather than a paper argument.

Rewrite moves:

  • Replace "overview" narration with a content-bearing lens: tension/decision/failure/protocol/contrast.
  • Keep the first sentence falsifiable: name the constraint and why it matters (not what you are about to do).

Mini example (paraphrase only):

  • Bad: This section provides an overview of tool interfaces for agents.
  • Better: Tool interfaces define what actions are executable; interface contracts therefore determine which evaluation claims transfer across environments.

5) Paragraphs repeatedly starting with connector adverbs (Moreover, In addition, Therefore, Overall, As a result)

Why it is high-signal: the prose starts to sound mechanically stitched (each paragraph begins with the same connective), even when the content is solid.

Rewrite moves:

  • Keep the logical relation, but move the connector into the sentence: start with the subject (e.g., "Tool catalogs also..."), then add the relation mid-sentence ("..., which in turn...").
  • Use clause shapes instead of adverb openers: "While...,..." / "Although...,..." / "Because...,...".
  • When summarizing, avoid "Overall," as a default label; state the conclusion directly as a claim sentence.

Mini example (paraphrase only):

  • High-signal smell: "Moreover,..." (repeated across multiple paragraphs)
  • Better: start with the content noun phrase ("One implication is..." / "A practical constraint is..."), then express the relation inside the sentence.

6) Internal shorthand leaking into paper voice ("token(s)" used as a protocol noun)

Why it is high-signal: outside of NLP contexts (token budget/context window), "token" reads like internal shorthand. In this pipeline it often originates from packs/schemas and gets copied into prose, which makes the draft feel like an intermediate artifact.

Rewrite moves:

  • Replace "X tokens" with reader-facing nouns: "X protocol details/assumptions/fields/parameters/dimensions".
  • If you truly mean language-model tokens, keep it numeric and specific (e.g., "a 60k-token context window", "token budget"); avoid using "token" as a generic label for protocol metadata.
  • Avoid "three tokens:..." slots; either (a) state the conclusion directly, or (b) use "three reporting fields" and embed them naturally in the sentence.

Mini example (paraphrase only):

  • Bad: Overall, self-improvement should be reported as a protocol with three explicit tokens: the feedback channel, the update rule, and the accounting rule.
  • Better: Self-improvement results are easiest to compare when papers make three reporting fields explicit: the feedback channel, the update rule, and the accounting assumptions.

Workflow (minimal)

  1. Read output/WRITER_SELFLOOP_TODO.md
  • Find ## Style Smells and the file list.
  1. Rewrite only the flagged files
  • Prefer fixing the upstream writer skill that created the cadence problem rather than relying on a local regex cleanup.
  • If a local rewrite is still necessary, make small edits: opener/closer stems, sentence shape, connector variety.
  • Best-of-2 rewrite (recommended): for any paragraph you touch, draft 2 alternative phrasings and keep the one that (a) removes the slot stem, and (b) does not introduce a new repeated cadence across H3s.
  • If needed, consult outline/writer_context_packs.jsonl for opener_mode hints and to stay citation-scope safe while rewriting.
  • Do not touch citation keys.
  1. Re-run writer-selfloop
  • Expect: PASS remains PASS.
  • Expect: Style Smells section is shorter (or disappears).

Done checklist

  • The same slot phrase does not repeat across multiple H3s (especially count-based openers).
  • No citation keys were added/removed/moved.
  • writer-selfloop still reports PASS, and Style Smells shrinks.

Script

Quick Start

  • python.codex/skills/style-harmonizer/scripts/run.py --workspace workspaces/<ws>

All Options

  • --workspace <dir> (required)
  • --unit-id <U###>
  • --inputs <semicolon-separated>
  • --outputs <semicolon-separated>
  • --checkpoint <C#>

Examples

  • Harmonize style in a survey workspace:

- python.codex/skills/style-harmonizer/scripts/run.py --workspace workspaces/survey-llm-agents

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

25.37%
按下载量换算68

Gemini CLI

23.72%
按下载量换算63

Cursor

17.48%
按下载量换算47

Codex

11.04%
按下载量换算29

OpenCode

7.92%
按下载量换算21

Antigravity

3.11%
按下载量换算8

安全审计

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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。

来源信息

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