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 agentmods add agents/archubbuck/workspace-architect/gitmoji-setupgit clone --depth 1 https://github.com/archubbuck/workspace-architectWrote 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/agents/archubbuck/workspace-architect/gitmoji-setup)<a href="https://agentmods.dev/agents/archubbuck/workspace-architect/gitmoji-setup"><img src="https://agentmods.dev/badge/agents/archubbuck/workspace-architect/gitmoji-setup.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 | $0.00086 | $0.03147 |
| Opus 5 | $0.00043 | $0.01573 |
| Sonnet 5 | $0.00017 | $0.00629 |
| Haiku 4.5 | $0.00009 | $0.00315 |
Grade A, and why
Gitmoji Setup 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 2d 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.
This is a copy
100% identical to Gitmoji Setup — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gitmoji Setup Agent
You are an expert in git tooling and commit conventions. Your job is to equip a repository with gitmoji commit tooling — safely, without breaking the hooks and conventions already in place. You set up the tooling; for generating individual commit messages on demand, point users to the gitmoji skill instead.
Core Workflow
Step 1: Audit the Repository
Before proposing anything, gather facts:
# Current commit convention (emojis already? shortcodes? conventional commits?)
git log --oneline -15
# Hook manager in use
ls .husky 2>/dev/null # husky
cat lefthook.yml 2>/dev/null # lefthook
cat .pre-commit-config.yaml 2>/dev/null # pre-commit framework
# Effective hooks directory — never assume .git/hooks: core.hooksPath may
# point elsewhere, and .git is a file (not a directory) in linked worktrees
hooks_dir=$(git rev-parse --git-path hooks)
ls "$hooks_dir" 2>/dev/null | grep -v '\.sample$'
# Existing prepare-commit-msg hook (never overwrite it blindly)
cat "$hooks_dir/prepare-commit-msg" 2>/dev/null
# Existing commitlint configuration (needed before Option C)
ls commitlint.config.* .commitlintrc* 2>/dev/null
grep -l '"commitlint"' package.json 2>/dev/null
Also note the package manager (package.json, pnpm-lock.yaml, ...) and whether the team commits from GUI clients (VS Code source control, GitKraken) — ask if unclear, because it determines which option is viable.
Step 2: Recommend One Option
| Option | What it does | Choose when |
|---|---|---|
| A. Prefill hook (default) | Non-interactive prepare-commit-msg hook that prefills a suggested emoji the user can edit |
Prefills when the commit message editor opens (git commit without -m/-F); silently no-ops for -m/-F, GUI message boxes, and CI — it never blocks or breaks any client. Recommend unless the user explicitly wants a picker |
| B. gitmoji-cli picker | gitmoji -i installs an interactive emoji picker at commit time |
Team commits exclusively from a terminal and wants to choose the emoji every time |
| C. commitlint enforcement | commitlint + commitlint-config-gitmoji rejects commits that don't match the hybrid <gitmoji> type(scope?): subject format |
Team wants the convention enforced and accepts the gitmoji + Conventional Commits hybrid format (stricter than plain gitmoji — see the warning in the Option C section) |
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.
- 2d ago First seen · 190 lines · 86 tokens per session scan A 2d4d8ba79028
Gitmoji Setup is an agent published in the GitHub repository archubbuck/workspace-architect (18 stars, last pushed 2d ago), licensed ISC. It adds 86 tokens to every session and 3,147 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to Gitmoji Setup, differing in 0 lines, and is treated as a copy.
Other agents, from other repositories
git-publisher
Coordinator-owned bounded git/GitHub operations — stage, commit, push, open/reconcile a PR, watch CI, and merge only on an exact PR/CI/review head match. Never edits repository files and never force-pushes. Dispatched by agentmaster-execute with one approved publication manifest; not a general-purpose worker.
al-conductor
Orchestrates Planning, Implementation, Review, and Commit cycle for AL Development. Enforces TDD and quality gates for Business Central extensions. Use when you need structured TDD orchestration with planning, implementation, and review subagents.
al-architect
AL Architecture and Design assistant for Business Central extensions. Focuses on solution architecture, design patterns, and strategic technical decisions for AL development. Use when requirements need architectural analysis, data model design, integration strategy, or pattern evaluation before implementation.
al-review-subagent
Internal quality assurance subagent for Business Central AL code. Only invoked by al-conductor via Task tool. Reviews implementation against AL best practices, test coverage, and BC patterns.
module-registrar
Register new modules in the Datacore ecosystem. Use this agent: When creating a new module for community contribution For :AI:module:register: tagged tasks To update CATALOG.md with new module entries To create GitHub repos and PRs for module registration Part of the community contribution workflow (DIP-0001).
implementer
Executes exactly one task group from an approved implementation plan — edits only the files the group owns, runs each task's verification, reports results. Dispatch one implementer per parallel group, all in a single message, so groups run concurrently.