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front-matter-writer头条撰稿人

Agent Skill

front-matter-writer 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

759

周安装

31

GitHub Stars

422

下载量

243
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:front-matter-writer(头条撰稿人)
来源仓库:https://github.com/willoscar/research-units-pipeline-skills
仓库路径:skills/front-matter-writer
安装命令:
npx skills add https://github.com/willoscar/research-units-pipeline-skills --skill front-matter-writer
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 front-matter-writer

简介

front-matter-writer 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 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。
  • 暂无额外注意事项,建议参考来源仓库获取最新使用说明。

SKILL.md

Front Matter Writer (compatibility router)

Purpose: produce the paper-level shell while preserving the current output contract and approval gate.

Load Order

Always read:

  • references/overview.md

Read by task:

  • references/abstract_archetypes.md for sections/abstract.md
  • references/context_projection.md when adjusting how chapter briefs are projected into Introduction / Related Work context
  • references/introduction_jobs.md for Introduction body files
  • references/related_work_positioning.md for Related Work body files
  • references/discussion_conclusion_patterns.md for sections/discussion.md and sections/conclusion.md
  • references/forbidden_stems.md before revising any reader-facing prose
  • references/examples_good.md and references/examples_bad.md for calibration only

Machine-readable assets:

  • assets/front_matter_context.schema.json
  • assets/front_matter_context_schema.json (compatibility alias for checklist-aligned naming)
  • assets/front_matter_contract.json
  • assets/front_matter_templates.json
  • assets/front_matter_context_projection.json

Inputs

Required:

  • DECISIONS.md with Approve C2
  • outline/outline.yml
  • outline/mapping.tsv
  • citations/ref.bib

Optional but useful:

  • GOAL.md
  • queries.md
  • papers/retrieval_report.md
  • papers/core_set.csv
  • outline/coverage_report.md
  • outline/writer_context_packs.jsonl

Outputs

Keep the current output contract:

  • sections/abstract.md
  • sections/S<sec_id>.md for front-matter H2 bodies
  • sections/discussion.md
  • sections/conclusion.md
  • output/FRONT_MATTER_REPORT.md
  • output/FRONT_MATTER_CONTEXT.json

Compatibility mode

Current mode is reference-first with script compatibility:

  • writing guidance lives in references/
  • the structured job contract lives in assets/front_matter_contract.json
  • the hook bank used by the script lives in assets/front_matter_templates.json
  • scripts/run.py still owns approval checks, metadata parsing, deterministic hook selection, file emission, and context-sidecar writing

That means:

  • preserve current file shapes and approval behavior
  • treat the assets as the active semantic source for section jobs, hook banks, and render guardrails
  • avoid moving prose policy back into SKILL.md

Script boundary

Use scripts/run.py as a deterministic helper for:

  • approval gate enforcement
  • front-matter file discovery / path selection
  • metadata extraction
  • rendering from assets/front_matter_contract.json + assets/front_matter_templates.json
  • writing the report and context sidecar

Do not treat the script as the main place for long-form writing guidance.

Output shape rules

Keep these stable:

  • sections/abstract.md starts with ## Abstract or ## 摘要
  • Introduction / Related Work sections/S<sec_id>.md files are body-only
  • sections/discussion.md includes ## Discussion
  • sections/conclusion.md includes ## Conclusion
  • methodology note appears once in normal prose, not as pipeline/process narration

Quick Start

  • python.codex/skills/front-matter-writer/scripts/run.py --workspace workspaces/<ws>

Troubleshooting

  • If the front matter sounds narrated, reload references/forbidden_stems.md and references/examples_bad.md.
  • If Related Work turns into a survey list, reload references/related_work_positioning.md.
  • If the asset and the references drift, fix the asset/routing inside this skill package rather than expanding SKILL.md again.

Execution notes

When running this skill in compatibility mode, scripts/run.py currently reads these inputs directly:

  • DECISIONS.md for Approve C2
  • outline/outline.yml to resolve Introduction / Related Work section ids
  • outline/mapping.tsv for front-matter citation placement context
  • citations/ref.bib for citation-key scope
  • GOAL.md, queries.md, papers/retrieval_report.md, papers/core_set.csv, outline/coverage_report.md, and outline/writer_context_packs.jsonl as optional context sources

Script

Quick Start

  • python.codex/skills/front-matter-writer/scripts/run.py --workspace <workspace_dir>

All Options

  • --workspace <dir>
  • --unit-id <id>
  • --inputs <path1;path2>
  • --outputs <path1;path2>
  • --checkpoint <C*>

Examples

  • python.codex/skills/front-matter-writer/scripts/run.py --workspace workspaces/<ws>

Troubleshooting

  • If DECISIONS.md lacks Approve C2, the script will write a checkpoint block and exit.
  • If citations/ref.bib or outline/outline.yml is missing, restore those inputs before rerunning.
  • If the front matter feels too template-like, inspect the hook banks / section job graph before touching the script.

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

31.09%
按下载量换算76

Gemini CLI

22.22%
按下载量换算54

Cursor

18.24%
按下载量换算44

Codex

12.69%
按下载量换算31

OpenCode

8.38%
按下载量换算20

Antigravity

3.7%
按下载量换算9

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/willoscar/research-units-pipeline-skills --skill front-matter-writer;npx skills add willoscar/research-units-pipeline-skills --skill "front-matter-writer" 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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