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Agent Skill · 效率

appendix-table-writer(附录表作者)

appendix-table-writer 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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。

appendix-table-writer 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 11,781。

总安装 4,422周安装 188GitHub Stars 公开资料未说明下载 1,549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
MIT-0
版本
1.0.0

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:appendix-table-writer(附录表作者)
来源仓库:https://github.com/willoscar/appendix-table-writer
安装命令:
openclaw skills install appendix-table-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。该命令会通过 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install appendix-table-writer

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

appendix-table-writer 基于证据和引文生成面向读者的附录调查表。适用于研究报告、论文或文档末尾的信息密度优化与排版整理。在 OpenClaw 中传入关键词和引用范围即可自动生成简洁表格布局。仅使用限定范围内的证据,不支持外部数据扩展,需人工补充遗漏信息。

输出为 Markdown 格式,可直接嵌入文档系统无需二次转换。

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 OpenClaw;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 openclaw skills install appendix-table-writer;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

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

appendix-table-writer 怎么安装?

在终端执行 openclaw skills install appendix-table-writer。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

appendix-table-writer 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

appendix-table-writer 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

appendix-table-writer 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

appendix-table-writer 用的人多吗?

公开数据是累计安装 4,422 次,近一周安装 188 次,下载 1,549 次。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。

appendix-table-writer 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

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
appendix-table-writer

附录表作者 · 本页

4,422—需要联网MIT-0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

name
appendix-table-writer
description
Curate reader-facing survey tables for the Appendix (clean layout + high information density), using only in-scope
version
0.1.0
metadata
openclaw
requires
anyBins

Appendix Table Writer (publishable survey tables)

Why this exists

The pipeline can produce index tables that are useful for planning/debugging, but read like internal artifacts.

This skill writes publishable, reader-facing tables that can live in an Appendix:

  • cleaner layout
  • higher information density
  • survey-style organization (methods/benchmarks/risks), not intermediate state

Index tables remain in outline/tables_index.md and should not be copied verbatim into the paper.

Inputs

  • outline/table_schema.md (table intent + evidence mapping)
  • outline/tables_index.md (internal index; optional but recommended)
  • outline/subsection_briefs.jsonl
  • outline/evidence_drafts.jsonl
  • outline/anchor_sheet.jsonl
  • citations/ref.bib
  • Optional: GOAL.md

Read as needed:

  • references/table_cell_hygiene.md when Appendix table cells still copy raw paper self-narration or generic result wrappers

Machine-readable assets:

  • assets/table_cell_hygiene.json

Output

  • outline/tables_appendix.md

Roles (use explicitly)

Survey Table Curator (reader lens)

Mission: choose tables a reader actually wants in a survey Appendix.

Do:

  • prefer 2-3 tables that answer big questions (methods, evaluation, risks)
  • make rows comparable (same row unit across the table)
  • make the table legible without reading the whole paper

Avoid:

  • one-row-per-H3 index dumps
  • columns named like internal axes ("axes", "blocking_missing", "evidence readiness")

Production Editor (layout)

Mission: make the table look publishable in LaTeX.

Do:

  • keep columns <= 4
  • keep cells short (phrases, not sentences)
  • use <br> sparingly (0-1 per cell; never a list dump)

Avoid:

  • 6-8 columns with tiny unreadable text
  • cells that look like notes (semicolon chains + slash lists + long parentheticals)
  • slash-separated axis markers (A/B/C) in captions/headers/cells (post-merge voice gate will flag them); use commas or 'and' instead
  • internal axis jargon that reads like an intermediate artifact once printed (e.g., calling table columns "tokens"); prefer "protocol details/metadata/assumptions"

Evidence Steward (verifiability)

Mission: prevent hallucinations.

Do:

  • every row must include citations in a dedicated column (e.g., "Key refs")
  • only restate what appears in evidence packs / anchor sheet
  • when evidence is thin, prefer fewer rows with stronger grounding

Avoid:

  • "representative works" with no supporting claim in packs/anchors
  • adding benchmark/method details not present upstream

Table contract (publishable, Appendix-ready)

outline/tables_appendix.md must:

  • contain >=2 Markdown tables
  • use a caption line before each table, e.g. **Appendix Table A1. ...**
  • contain no headings (#, ##, ###) inside the file (the merger adds an Appendix heading)
  • contain no placeholders (TODO, TBD, FIXME, ..., unicode ellipsis)
  • contain citations in rows using [@BibKey] (keys must exist in citations/ref.bib)
  • avoid pipeline jargon and index-like column names

Workflow (explicit inputs)

  • Start from GOAL.md (scope) and outline/table_schema.md (what each table must answer).
  • Use outline/tables_index.md as a shortlist source, but do not paste it verbatim.
  • Fill rows/cells using outline/subsection_briefs.jsonl, outline/evidence_drafts.jsonl, and outline/anchor_sheet.jsonl (no guessing).
  • Validate every cited key against citations/ref.bib.

Recommended Appendix tables (default set)

If you are unsure what to build, start with these two:

1) Method/architecture map (representative works)

  • Row unit: work/system line (not H3 id)
  • Columns (example):

- Work (short name) - Core idea (1 short phrase) - Loop + interface assumptions (1 short phrase; reader-facing) - Key refs (2-4 cite keys)

2) Evaluation protocol / benchmark map

  • Row unit: benchmark / evaluation setting (or a canonical protocol dimension if benchmarks are thin)
  • Columns (example):

- Benchmark / setting - Task + metric (phrases, not definitions) - Key protocol constraints (budget/cost/latency/steps/tool access/threat model) - Key refs (2-4 cite keys)

Optional third (only if it stays clean): 3) Risk / threat-surface map

  • Row unit: threat/failure mode category
  • Columns: surface; why it matters; mitigation pattern; key refs

Positive / negative examples (style)

Bad (index table / internal notes):

  • Column: "Axes"
  • Cell: planning / memory / tools / eval / safety (slash dump)
  • Rows: every H3 id with 5+ <br> lines

Good (survey table):

  • Column labels are reader-facing ("Core idea", "Task + metric", "Constraint")
  • Cells are short phrases (no narration)
  • A reader can scan and compare rows quickly

Also good (avoid intermediate-artifact tells):

  • Don't label columns as "token(s)". If you need the idea, rewrite as "protocol details/metadata/assumptions".
  • Avoid ASCII arrows like -> inside cells; prefer natural phrasing (e.g., "interleaves reasoning traces with tool actions").

When to stop / route upstream

If you cannot fill a row without guessing:

  • remove the row (prefer fewer, solid rows), and
  • route upstream: strengthen evidence-draft / anchor-sheet for that area.

Script (generator + validator)

Quick Start

  • python scripts/run.py --help
  • python scripts/run.py --workspace workspaces/<ws>

All Options

  • --workspace <workspace_dir> (required)
  • --unit-id <id> (optional; used only for runner bookkeeping)
  • --inputs <a;b;c> (optional; ignored by the validator; kept for runner compatibility)
  • --outputs <relpath> (optional; defaults to outline/tables_appendix.md)
  • --checkpoint <C#> (optional; ignored by the validator)

Examples

  • Validate the default appendix tables file:

python scripts/run.py --workspace workspaces/e2e-agent-survey-latex-verify-YYYYMMDD-HHMMSS

  • Validate a workspace that writes appendix tables to a non-standard path:

python scripts/run.py --workspace workspaces/<ws> --outputs outline/tables_appendix.md

Notes:

  • This script writes outline/tables_appendix.md from the existing evidence artifacts and then validates the result.
  • It always writes a short report to output/TABLES_APPENDIX_REPORT.md.

平台分布

OpenClaw

97.08%
按下载量换算1,504

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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