Liam ERD is a tool that turns database schemas into interactive entity-relationship diagrams, visual maps showing tables and their relationships. It helps people understand and document database structures, including complex schemas.
Borrowing it
Nothing to install: this file belongs to liam-hq/liam. 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/liam-hq/liam/main/.claude/commands/commit-and-push.mdgit clone --depth 1 https://github.com/liam-hq/liamWrote 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/liam-hq/liam/commit-and-push)<a href="https://agentmods.dev/commands/liam-hq/liam/commit-and-push"><img src="https://agentmods.dev/badge/commands/liam-hq/liam/commit-and-push/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/liam-hq/liam/commit-and-push"><img src="https://agentmods.dev/badge/commands/liam-hq/liam/commit-and-push.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 | $0.00000 | $0.00024 |
| Opus 5.5 | $0.00000 | $0.00010 |
| Sonnet 5.5 | $0.00000 | $0.00005 |
| Haiku 4.5 | $0.00000 | $0.00002 |
Grade A, and why
commit-and-push 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.
What it actually says
Let's commit the changes and push to remote.
Split large changes: If changes touch multiple concerns, split them into separate commits
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.
- 2mo ago First seen · 3 lines · 0 tokens per session scan A c8e1c1a95e75
commit-and-push is a command published in the GitHub repository liam-hq/liam (5,156 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 24 tokens. 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
design.pre-hook
Runs before /design's phase 1 (Spec Author). Enforces the kit's invariant: every git branch gets a Lakebase branch, the SCM workflow state machine tracks that pairing, and lakebase-scm-claim-feature-branch is the only supported claim path.
commit
Based on the above changes, create a single git commit.
trace-commit
Generate a conventional commit message from the most recent trace.
update-changelog
Actualiza docs/CHANGELOG.md con los cambios de esta sesión.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.