A guided retrospective for people who completed Claude Code Lab. It reviews progress, captures a useful prompt, creates a monthly plan, and collects feedback in saved files.

Use it after the lab to document new skills, save a prompt that worked well, plan the next month, and provide feedback.

It turns a broad end-of-course reflection into organised records and specific follow-up actions.

lab-retro — Skill for Claude Code by glebis

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 glebis/claude-skills --skill lab-retro

Clone the repo

git clone --depth 1 https://github.com/glebis/claude-skills

Made for: Claude Code.

Or install lab-retro, the plugin that ships this one along with the rest of its 1 skill.

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/glebis/claude-skills/lab-retro/github.svg)](https://agentmods.dev/skills/glebis/claude-skills/lab-retro)

Your own site

<a href="https://agentmods.dev/skills/glebis/claude-skills/lab-retro"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/lab-retro/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/glebis/claude-skills/lab-retro"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/lab-retro.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,637 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 4 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

medium analysis-evasion · line 1
Suspicious Unicode normalization or mixed-script content

Fix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
medium Rogue Agent · line 22
Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.

Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
medium Rogue Agent · line 22
Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.

Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
medium Data Exfiltration · line 145
Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00071	$0.01637
Opus 5	$0.00036	$0.00818
Sonnet 5	$0.00014	$0.00327
Haiku 4.5	$0.00007	$0.00164

Measured 7d ago against content hash 20ec5eb7a338, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

lab-retro scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -sS -X POST https://lab-feedback-proxy.vercel.app/api/feedback \

lab-retro/SKILL.md · 170 lines

How it starts

The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Claude Code Lab — Final Retrospective

This skill walks a Claude Code Lab graduate through four sequential exercises that consolidate their learning, capture their best work, plan next steps, and collect structured feedback for the organizer.

How to run

Default flow: run all four parts in order. The user can also jump to a specific part with /lab-retro 2 (or just say "part 3").

Between parts, briefly summarize what just happened and ask "ready for part N?" so the user controls the pace.

All artifacts are saved into a single folder lab-retro-output/ in the current working directory:

01-progress.md
02-best-prompt.md
03-month-plan.md
04-feedback.json + 04-feedback-report.md

Create the folder if missing.

Part 1 — Progress audit

Goal: help the participant see concrete before/after.

Use AskUserQuestion:

"Что вы умели ДО лаборатории?" (multiSelect)
- Работал с ChatGPT/Claude в браузере
- Использовал CLI инструменты
- Писал код
- Автоматизировал задачи
- Работал с API
"Что вы умеете ПОСЛЕ?" (multiSelect)
- Работаю с Claude Code ежедневно
- Настроил MCP-серверы
- Создал свой Skill
- Автоматизировал реальную задачу
- Задеплоил что-то в веб
- Использую субагентов
- Пишу и читаю CLAUDE.md осознанно
"Сколько часов в неделю экономит Claude Code?" (singleSelect)
- <2
- 2–5
- 5–10
- 10+

Then output a markdown table comparing before/after with skill levels (0–5) and save to lab-retro-output/01-progress.md.

Part 2 — Best prompt

Goal: turn one prompt the participant is proud of into a reusable Skill.

Ask the participant: "Скопируйте или опишите ваш самый полезный промт из лабы."

Then AskUserQuestion:

"Для какой задачи был промт?" (singleSelect)
- Автоматизация рутины
- Создание контента/документации
- Анализ данных/исследование
- Прототипирование/разработка
- Личный workflow / PKM
"Что сделало его эффективным?" (multiSelect)
- Хороший контекст в CLAUDE.md
- Чёткие критерии успеха
- Разбиение на шаги
- Использование Skills/MCP
- Примеры в промте
- Ограничения и анти-критерии

Read the full file on GitHub · 170 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

.claude-plugin/plugin.json 296 B

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 · 170 lines · 71 tokens per session scan A 20ec5eb7a338

Subscribe to this mod's changes

lab-retro is a skill published in the GitHub repository glebis/claude-skills (374 stars, last pushed 8d ago), licensed MIT. It adds 71 tokens to every session and 1,637 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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lab-retro