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.
npx skills add id-andyyy/LabAI --skill lab-conclusiongit clone --depth 1 https://github.com/id-andyyy/LabAIWrote 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.
[](https://agentmods.dev/skills/id-andyyy/labai/lab-conclusion)<a href="https://agentmods.dev/skills/id-andyyy/labai/lab-conclusion"><img src="https://agentmods.dev/badge/skills/id-andyyy/labai/lab-conclusion.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00013 | $0.00434 |
| Opus 5 | $0.00006 | $0.00217 |
| Sonnet 5 | $0.00003 | $0.00087 |
| Haiku 4.5 | $0.00001 | $0.00043 |
Grade A, and why
lab-conclusion 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 8d 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.
What it actually says
Пользователь хочет написать итоговый вывод по лабораторной работе.
Что делать
- Прочитай
.claude/lab/config.jsonдля контекста (стиль отчёта). - Прочитай
.claude/lab/gost-content.md(правила написания текста). - Изучи весь
report.md: основную часть и раздел дополнительного исследования (если есть). - При необходимости обратись к
.claude/lab/source-material.md— полный текст исходного документа с теорией, чтобы вывод точнее отражал суть работы, а также к файлам в.claude/lab/reference-docs/(дополнительная теория по работе). - Напиши итоговый вывод и добавь его в конец report.md.
Требования к выводу
- Объём — пользователь укажет объем после команды (/lab-conclusion [volume]). Следуй его указаниям.
- Охватывает всю работу: что было сделано, что выяснено, какие особенности замечены — и по основной части, и по доп. исследованию (если есть).
- Содержательно: не «я выполнил работу и изучил тему», а конкретные результаты и наблюдения.
- Без лишней воды и без повторения всего отчёта по кругу.
- Формулировки типа «Вывод:» не использовать. Вместо этого — «Таким образом, ...», «В ходе работы удалось выяснить, что ...» и подобные.
- Оформление по правилам из gost-content.md.
- Стиль из
config.preferences.report_style.
После написания
Сообщи в чате, что вывод добавлен. Напомни:
/lab-improve— для доработки./lab-report— для генерации финального документа.
Объём вывода и дополнительный контекст от пользователя
$ARGUMENTS
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.
- 8d ago First seen · 40 lines · 13 tokens per session scan A cf7cef02cc75
lab-conclusion is a skill published in the GitHub repository id-andyyy/LabAI (3 stars, last pushed 4mo ago), licensed MIT. It adds 13 tokens to every session and 434 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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