Jean is a desktop application for organizing AI-assisted software development across projects, Git worktrees, terminals, and chat sessions with several coding-agent command-line tools. Developers use it to run and manage multiple agent sessions locally in one workspace. Its catalogue add-ons support workflows performed inside Jean.
Borrowing it
Nothing to install: this file belongs to coollabsio/jean. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/coollabsio/jean/main/.claude/commands/check.mdgit clone --depth 1 https://github.com/coollabsio/jeanWrote 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/commands/coollabsio/jean/check)<a href="https://agentmods.dev/commands/coollabsio/jean/check"><img src="https://agentmods.dev/badge/commands/coollabsio/jean/check/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.
<a href="https://agentmods.dev/commands/coollabsio/jean/check"><img src="https://agentmods.dev/badge/commands/coollabsio/jean/check.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00010 | $0.00133 |
| Opus 5.5 | $0.00004 | $0.00053 |
| Sonnet 5.5 | $0.00002 | $0.00027 |
| Haiku 4.5 | $0.00001 | $0.00013 |
Grade A, and why
check 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 1mo 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
/check - Check Work
Purpose
Check work for adherance with architecture and run checks
Usage
/check
Execution
- Check all work in this session for adherance with
docs/developer/architecture-guide.md. - Remove any unnececarry comments or
console.logswe've introduced and clean up any "leftovers" from approaches we tried but didn't work. - Run
bun run check:alland fix any errors.
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.
- 1mo ago First seen · 23 lines · 10 tokens per session scan A 2f21e41919b9
check is a command published in the GitHub repository coollabsio/jean (1,366 stars, last pushed yesterday), licensed Apache-2.0. It adds 10 tokens to every session and 133 once invoked, about $0.0000 per session on Opus 5.5. 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.
Other commands, from other repositories
tag
Create an annotated git tag with an auto-generated summary of changes since the last tag.
commit
Please summarize your current changes, generate a commit message in English, then add and commit. Never include any AI tool or model as a Co-Author in commit messages. No Co-Authored-By lines referencing AI assistants.
aidd-pr
Review a PR, resolve addressed comments, and generate /aidd-fix delegation prompts for remaining issues.
pre-pr-check
Perform a comprehensive pre-PR check: summarize changes, analyze risk, and generate a review checklist.
code-review
Code review — local uncommitted changes or GitHub PR (pass PR number/URL for PR mode).
pr
Create a GitHub PR from current branch with unpushed commits — discovers templates, analyzes changes, pushes.