A skill for generating a finished laboratory-report document in DOCX, PDF, or Markdown format from an existing `report.md` file. It can also place available images into the document.

Use it at the final stage of a laboratory assignment after creating and improving the report draft. The instructions are in Russian.

It turns a prepared report into a final document and checks that the required setup and report sections exist first.

lab-report — Skill for Claude Code by id-andyyy

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 id-andyyy/LabAI --skill lab-report

Clone the repo

git clone --depth 1 https://github.com/id-andyyy/LabAI

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/id-andyyy/labai/lab-report.svg)](https://agentmods.dev/skills/id-andyyy/labai/lab-report)

Your own site

<a href="https://agentmods.dev/skills/id-andyyy/labai/lab-report"><img src="https://agentmods.dev/badge/skills/id-andyyy/labai/lab-report.svg" alt="Measured on agentmods" height="20"></a>

Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,868 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.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00021	$0.01868
Opus 5	$0.00010	$0.00934
Sonnet 5	$0.00004	$0.00374
Haiku 4.5	$0.00002	$0.00187

Measured 7d ago against content hash 0449e8a899da, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

lab-report 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 7d ago.

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.

.claude/skills/lab-report/SKILL.md · 130 lines

How it starts

The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Пользователь хочет сгенерировать финальный документ отчёта. На этом этапе report.md уже должен быть готов (создан через /lab-draft и доработан через /lab-improve, /lab-research, /lab-conclusion).

Что делать

Этап 1. Проверка полноты

Прочитай .claude/lab/config.json. Если не найден — сообщи: «Сначала запусти /lab-setup.» и остановись.
Проверь наличие report.md. Если не найден — сообщи: «Сначала создай черновик отчёта через /lab-draft.» и остановись.
Прочитай report.md и проверь:
- Есть ли раздел дополнительного исследования (если config.preferences.needs_research = true) — предупредить, если нет (но не блокировать).
- Есть ли итоговый вывод — предупредить, если нет (но не блокировать).
Спроси пользователя: продолжить генерацию или сначала доработать отчёт?

Этап 2. Работа с изображениями

Проверь наличие папки images/ в корне проекта.
Если папка существует и содержит файлы: a. Прочитай каждый файл изображения через Read tool (vision). b. Проанализируй содержимое каждого изображения — текст, интерфейс, данные, графики, что изображено. c. Сопоставь содержимое изображений с подписями рисунков в report.md по СМЫСЛУ, а не по имени файла или дате. КРИТИЧЕСКИ ВАЖНО: нельзя бездумно сопоставлять рисунки по порядку (по алфавиту имён, по дате создания). Нужно именно анализировать содержимое каждого изображения и находить, какой подписи в report.md оно соответствует. Например: если подпись «Рисунок 3. Настройка DNS», а на изображении видно окно настройки DNS-сервера — это совпадение. d. Создай .claude/lab/image_map.json — маппинг номера рисунка на файл:
```
{
  "1": "images/screenshot1.png",
  "2": "images/network_config.jpg"
}
```
e. Если автоматическое сопоставление не удалось для некоторых изображений — покажи пользователю список нераспознанных файлов и подписей, спроси о соответствии. f. Перепроверь ещё раз, правильно ли ты соотнёс каждое изображение с местом, куда его вставлять. Открой каждое изображение повторно и убедись, что оно действительно соответствует подписи.
Если папка images/ пуста или не существует — предупредить (плейсхолдеры останутся в документе).

Read the full file on GitHub · 130 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.

7d ago First seen · 130 lines · 21 tokens per session scan A 0449e8a899da

Subscribe to this mod's changes

lab-report is a skill published in the GitHub repository id-andyyy/LabAI (3 stars, last pushed 4mo ago), licensed MIT. It adds 21 tokens to every session and 1,868 once invoked, about $0.0001 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 2026-08-31.

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