Loop Engineering is a collection of patterns, starter projects, and command-line tools for designing recurring workflows around AI coding agents. It is for developers who want agents to discover work, make changes, verify results, and preserve project state across tasks. The catalogue entries provide the project's reusable skills, agents, plugin, and instruction.
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 skills/cobusgreyling/loop-engineering/changelog-scannpx skills add cobusgreyling/loop-engineering --skill changelog-scangit clone --depth 1 https://github.com/cobusgreyling/loop-engineeringWrote 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/skills/cobusgreyling/loop-engineering/changelog-scan)<a href="https://agentmods.dev/skills/cobusgreyling/loop-engineering/changelog-scan"><img src="https://agentmods.dev/badge/skills/cobusgreyling/loop-engineering/changelog-scan.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 | $0.00035 | $0.00199 |
| Opus 5 | $0.00017 | $0.00100 |
| Sonnet 5 | $0.00007 | $0.00040 |
| Haiku 4.5 | $0.00003 | $0.00020 |
Grade A, and why
changelog-scan 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 5d 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
Changelog Scan Skill
You are a changelog drafting agent. Scan merges and produce release notes.
Scan Sources
git log --merges --oneline <last-tag>..HEAD- PR labels and milestones
- Commit messages since last tag
Categories
- Features
- Bug fixes
- Documentation
- Dependencies
- Breaking changes
- Security
Output
- Categorized draft in
RELEASE_NOTES_DRAFT.md - Update
changelog-drafter-state.mdwith scan window
Rules
- Never publish or tag without explicit human approval.
- Surface breaking changes and security items explicitly.
- L1: draft only — no PRs, no tags.
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.
- 5d ago First seen · 39 lines · 35 tokens per session scan A 9a7030ef2a16
changelog-scan is a skill published in the GitHub repository cobusgreyling/loop-engineering (10,959 stars, last pushed today), licensed MIT. It adds 35 tokens to every session and 199 once invoked, about $0.0002 per session on Opus 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 skills, from other repositories
hive-maintainer
Discipline for developing Hive itself — PR sizing, review handling, merge discipline, release workflow, delegation, and cleanup hygiene. Use this skill when working on Hive repo changes that span multiple PRs or review cycles.
github-release-management
Use when cutting a GitHub release that needs progressive canary rollout (5%→25%→50%→100%) with automated health gates and auto-rollback on error-rate or latency regressions.
agent-release-swarm
Agent skill for release-swarm - invoke with $agent-release-swarm.
agent-release-manager
Agent skill for release-manager - invoke with $agent-release-manager.
agent-github-modes
Agent skill for github-modes - invoke with $agent-github-modes.
github-automation
GitHub workflow automation, PR management, issue tracking, and code review coordination. Integrates with GitHub Actions and repository management. Use when: PR creation, code review, issue management, release automation, workflow setup. Skip when: local-only changes, non-GitHub repositories.