Better Agents is a command-line tool and set of standards for structuring, testing, evaluating, versioning, and observing AI-agent projects. It helps developers build agents with organized prompts, scenario tests, evaluation notebooks, and framework-specific guidance. Its catalogue rules guide coding assistants in applying this structure and these practices.
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.
git clone --depth 1 https://github.com/langwatch/better-agentsWrote 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/rules/langwatch/better-agents/propose-commit)<a href="https://agentmods.dev/rules/langwatch/better-agents/propose-commit"><img src="https://agentmods.dev/badge/rules/langwatch/better-agents/propose-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.
<a href="https://agentmods.dev/rules/langwatch/better-agents/propose-commit"><img src="https://agentmods.dev/badge/rules/langwatch/better-agents/propose-commit.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 | $0.00003 | $0.00079 |
| Opus 5.5 | $0.00001 | $0.00032 |
| Sonnet 5.5 | $0.00001 | $0.00016 |
| Haiku 4.5 | $0.00000 | $0.00008 |
Grade A, and why
propose-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 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
After you finish writing code, PROPOSE a command to have a professional convensional commit + description for your work.
DO NOT EXECUTE THE COMMAND, ONLY PROPOSE IT.
Example:
git commit -m "feat: add new feature" -m "This commit adds a new feature to the project."
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 · 13 lines · 3 tokens per session scan A 7d24bb9f56ee
propose-commit is a cursor rule published in the GitHub repository langwatch/better-agents (1,562 stars, last pushed 4mo ago), licensed MIT. It adds 3 tokens to every session and 79 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 cursor rules, from other repositories
caliber-pre-commit
Run Caliber sync before git commits to keep agent configs up to date.
changelog
Update CHANGELOG.md for user-visible changes (Keep a Changelog).
git-author
Git author identity for commits so GitHub attributes contributions correctly.
hatch3r-git-conventions
Conventional Commits type list, subject line rules, breaking-change footer format, branch naming template for type/short-description, and change-size discipline (PR-size ceiling with stacked-change escape hatch).
aigon
Aigon workflow context — read this before every task.
dos-verify-done-claims-cursorrules-prompt-file
Gate AI done/shipped/fixed claims on ground truth from the DOS kernel (dos verify, dos commit-audit) — git ancestry and the commit's own diff, never the agent's own narration.