lab-report-writer

lab-report-writer is a skill for Claude Code, Codex from endearqb/endearqb-skills. It costs 256 tokens per session (5,906 once invoked), scanned A, original, MIT.

A writing workflow for producing structured, journal-style laboratory, research, engineering, or competition reports from experiment details and results.

In plain words
What is it for?
Use it to turn experiment notes, raw data, methods, and findings into an HTML report or technical record.
Why use it?
It organizes incomplete information, calculations, charts, error analysis, and conclusions into a formal report, with scripts to check numerical results.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to turn experiment notes, raw data, methods, and findings into an HTML report or technical record.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/endearqb/endearqb-skills/endearqb-lab-report-writer
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add endearqb/endearqb-skills --skill endearqb-lab-report-writer
Clone the repo
git clone --depth 1 https://github.com/endearqb/endearqb-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for lab-report-writer

README.md
[![agentmods](https://agentmods.dev/badge/skills/endearqb/endearqb-skills/endearqb-lab-report-writer/github.svg)](https://agentmods.dev/skills/endearqb/endearqb-skills/endearqb-lab-report-writer)
Your own site
<a href="https://agentmods.dev/skills/endearqb/endearqb-skills/endearqb-lab-report-writer"><img src="https://agentmods.dev/badge/skills/endearqb/endearqb-skills/endearqb-lab-report-writer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for lab-report-writer

Your own site · 80×15
<a href="https://agentmods.dev/skills/endearqb/endearqb-skills/endearqb-lab-report-writer"><img src="https://agentmods.dev/badge/skills/endearqb/endearqb-skills/endearqb-lab-report-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 256 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,906 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00256 $0.05906
Opus 5 $0.00128 $0.02953
Sonnet 5 $0.00051 $0.01181
Haiku 4.5 $0.00026 $0.00591

Measured 12d ago against content hash fd6858f413d3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

lab-report-writer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (assets/report.js, scripts/auto_verify.py, scripts/build_html.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/endearqb-lab-report-writer/SKILL.md · 371 lines

How it starts

The opening of the file, as written. The whole thing — 371 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Lab Report Writer — 期刊风格实验报告撰写 Skill

概览

本skill覆盖四类场景:理工科实验课、科研论文级记录、工程技术报告、竞赛展示报告。

核心流程:信息采集 → 文献搜索 → Python自动验证 → 撰写结构化内容 → 生成HTML报告


第一步:信息采集与场景识别

识别场景类型

场景 典型特征 报告侧重
实验课报告 有实验目的、操作步骤、数据表格 规范结构、误差分析、结论
科研记录 有假设、方法对比、统计分析 方法严谨性、数据可重复性
工程技术报告 有设计参数、测试标准、性能指标 工程可行性、指标达标情况
竞赛展示 有创新点、视觉冲击需求 清晰叙事、高质量图表

必须从用户处收集的信息

最小信息集(必须有):

  • 实验/项目标题
  • 实验目的或研究问题
  • 实验方法或操作步骤(文字描述即可)
  • 主要结果(数据或文字描述)

增强信息(有则收集):

  • 原始数据表格(CSV、手工记录等)
  • 计算公式和推导过程
  • 参考文献列表
  • 实验装置或流程图描述
  • 误差来源分析
  • 作者、机构、日期等元数据

信息不完整时的处理策略

  • 数据缺失:跳过图表,用文字表述结果,在报告中标注"[图表:数据待补充]"
  • 公式缺失:根据领域知识推断,并在报告中说明假设
  • 参考文献缺失:生成报告,提醒用户补充
  • 元数据缺失:使用占位符(如"[作者姓名]"、"[日期]")

第一步(补):生成前确认选项

完成信息采集、场景识别后,在开始任何生成之前,必须调用 ask_user_input 工具向用户确认核心选项(用自然语言简短说明后紧接着调用工具,不要纯文字罗列)。该工具单次最多 3 个问题,因此只询问下表 3 个核心问题;其余两项按默认执行,并在调用前一句话告知"默认仅 HTML、不启用内联编辑,如需更改可直接说明"。

问题(类型) 选项 默认 变量 → 影响
文档模式 (single) 长文档(分章节,推荐)/ 单文件 长文档 MODE_LONG:false→单文件 report-body.html+--body
可视化内容 (multi) SVG 流程图 / Chart.js 图表 全选 NEED_SVG/NEED_CHART:false→跳过对应文件与占位符
报告色彩主题 (single) 暖墨纸/午夜藏青/净白简约/橄榄学报/砖红工程/石墨极简 暖墨纸 THEME:非默认→加 --theme <值>

默认项(不询问,用户主动要求才启用): 附加输出默认仅 HTML(要 Markdown 草稿 → NEED_MD=true,另出 .md 一同 present_files);HTML 内联编辑默认关闭(要编辑 → EDITABLE=true,加 --editable)。

数据验证跳过(无任何数值)时,build_html.py 另加 --no-verify-panel

主题映射与注入

主题 CSS 完全由 build_html.py--theme 参数处理,Claude 无需读取或内联任何 CSSTHEME=default 时省略该参数,否则加 --theme <值>

用户选项 --theme 用户选项 --theme
暖墨纸(默认) 省略 橄榄学报 olive
午夜藏青(深色) dark 砖红工程 engineering
净白简约 clean 石墨极简 graphite

用户在 ask_user_input 之前已指定主题时,"报告色彩主题"一题的默认高亮改为对应项。完整主题注入说明见 references/html-build-guide.md;仅自定义非预置风格时才读 style-constitution.md


第二步:Python数据自动验证

触发判断

情形 操作
用户上传CSV文件 调用 scripts/auto_verify.py 自动解析并验证
用户粘贴表格数据(Markdown表格/空格分隔/逗号分隔) 写入临时CSV,同上处理
用户提供了具体数值和公式 生成专项验证脚本并运行
用户只有文字描述、无任何数值 跳过Python验证,在 build_html.py 命令中添加 --no-verify-panel(不渲染验证面板)

Read the full file on GitHub · 371 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 371 lines · 256 tokens per session scan A fd6858f413d3

Subscribe to this mod's changes

lab-report-writer is a skill published in the GitHub repository endearqb/endearqb-skills (19 stars, last pushed 9d ago), licensed MIT. It adds 256 tokens to every session and 5,906 once invoked, about $0.0013 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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