BubbleLab: Skill for Claude Code

.claude/skills/commit/SKILL.md

commit is a skill for Claude Code from bubblelabai/BubbleLab. It costs 18 tokens per session (620 once invoked), scanned A, original, Apache-2.0.

A commit workflow for an open-source repository using conventional commit messages, which label changes such as fixes or new features in a consistent format. It also updates package patch versions before committing.

In plain words
What is it for?
Use it to inspect changes, bump publishable package versions, stage selected files, run the type checker, and create a formatted Git commit.
Why use it?
It provides checks and a repeatable sequence before changes enter Git history. This helps catch type errors, avoid committing secrets, and keep package versions aligned.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

This is bubblelabai/BubbleLab's own configuration. It tells Claude Code how to work on BubbleLab itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything BubbleLab configures →

About the project

Bubble Lab is an open-core workflow engine that runs and coordinates automated tasks across tools, APIs, and other systems. It powers Bubble Lab’s Slack-based AI operator platform and can also be hosted and extended independently by teams, organizations, and developers. The catalogue entries provide rules, skills, and instructions for working with the engine.

bubblelabai/BubbleLab · 1,099 stars · on GitHub · bubblelab.ai

Reuse

Borrowing it

Nothing to install: this file belongs to bubblelabai/BubbleLab. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/bubblelabai/BubbleLab/main/.claude/skills/commit/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/bubblelabai/BubbleLab

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.

agentmods badge for commit

README.md
[![agentmods](https://agentmods.dev/badge/skills/bubblelabai/bubblelab/commit/github.svg)](https://agentmods.dev/skills/bubblelabai/bubblelab/commit)
Your own site
<a href="https://agentmods.dev/skills/bubblelabai/bubblelab/commit"><img src="https://agentmods.dev/badge/skills/bubblelabai/bubblelab/commit/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.

agentmods 80×15 button for commit

Your own site · 80×15
<a href="https://agentmods.dev/skills/bubblelabai/bubblelab/commit"><img src="https://agentmods.dev/badge/skills/bubblelabai/bubblelab/commit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 620 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00018 $0.00620
Opus 5.5 $0.00007 $0.00248
Sonnet 5.5 $0.00004 $0.00124
Haiku 4.5 $0.00002 $0.00062

Measured 2mo ago against content hash d707a0237f9e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

commit 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 2mo 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/commit/SKILL.md · 104 lines

How it starts

The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Commit Skill (OSS Repo)

Create a well-formed conventional commit with automatic version bumping.

Step 1: Analyze Changes

Run these commands in parallel:

git status
git diff --staged
git diff
git log --oneline -5

Step 2: Bump Package Versions

Always run the version bump before committing:

pnpm run bump-versions

This increments the patch version of all publishable packages (bubble-core, bubble-runtime, shared-schemas, etc.).

Stage the bumped package.json files along with your other changes.

Step 3: Stage Files

Stage relevant files. Be selective:

  • DO NOT stage .env, credentials, or secret files
  • DO NOT stage unrelated changes
  • Prefer git add <specific-files> over git add -A
  • DO include the bumped packages/*/package.json files

Step 4: Typecheck

Run typecheck to ensure no type errors before committing:

pnpm run typecheck

If typecheck fails, fix the errors before proceeding. Do NOT commit with type errors.

Step 5: Write Commit Message

Follow conventional commits format:

type(scope): concise description

[optional body]

Co-Authored-By: Claude Opus 4.6 <[email protected]>

Types: feat, fix, chore, refactor, docs, test, perf, enhance Scope: Optional, use for specific modules (e.g., feat(confluence): ..., fix(google-drive): ...)

Rules:

  • Description is lowercase, no period at end
  • Focus on the "why" not the "what"
  • Keep first line under 72 characters
  • If the user provided a message via $ARGUMENTS, use it (adjusting format if needed)

Step 6: Commit

Use a HEREDOC for proper formatting:

git commit -m "$(cat <<'EOF'
type(scope): description

EOF
)"

IMPORTANT:

  • NEVER amend existing commits unless explicitly asked
  • NEVER use --no-verify unless explicitly asked
  • NEVER push unless explicitly asked
  • If a pre-commit hook fails, fix the issue and create a NEW commit

Step 7: Verify & Remind

Run git status after committing to confirm success.

Read the full file on GitHub · 104 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.

  1. 2mo ago First seen · 104 lines · 18 tokens per session scan A d707a0237f9e

Subscribe to this mod's changes

commit is a skill published in the GitHub repository bubblelabai/BubbleLab (1,099 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 18 tokens to every session and 620 once invoked, about $0.0001 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.

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