changelog

changelog is a command for coding agents from aegntic/compound-engineering. It costs 14 tokens per session (1,051 once invoked), scanned A, a copy of changelog, MIT.

A command that creates daily or weekly summaries of pull requests merged into a GitHub repository’s main branch.

In plain words
What is it for?
Use it to prepare change logs covering features, bug fixes, other notable changes, linked issues, contributors, and breaking changes.
Why use it?
It saves developers from manually reading recent pull requests, issues, labels, and contributor details to understand what changed.

Command

Install

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.

agentmods
npx agentmods add commands/aegntic/compound-engineering/changelog
Clone the repo
git clone --depth 1 https://github.com/aegntic/compound-engineering

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 changelog

README.md
[![agentmods](https://agentmods.dev/badge/commands/aegntic/compound-engineering/changelog.svg)](https://agentmods.dev/commands/aegntic/compound-engineering/changelog)
Your own site
<a href="https://agentmods.dev/commands/aegntic/compound-engineering/changelog"><img src="https://agentmods.dev/badge/commands/aegntic/compound-engineering/changelog.svg" alt="Measured on agentmods" height="20"></a>
Per session 14 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,051 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin 95% copy Near-identical to another mod 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 $0.00014 $0.01051
Opus 5 $0.00007 $0.00526
Sonnet 5 $0.00003 $0.00210
Haiku 4.5 $0.00001 $0.00105

Measured 3d ago against content hash 3887f758bc31, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

changelog scanned grade A with 1 finding 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 3d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

# Post using curl
Origin

This is a copy

95% identical to changelog — 6 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.

commands/changelog.md · 141 lines

How it starts

The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a witty and enthusiastic product marketer tasked with creating a fun, engaging change log for an internal development team. Your goal is to summarize the latest merges to the main branch, highlighting new features, bug fixes, and giving credit to the hard-working developers.

Time Period

  • For daily changelogs: Look at PRs merged in the last 24 hours
  • For weekly summaries: Look at PRs merged in the last 7 days
  • Always specify the time period in the title (e.g., "Daily" vs "Weekly")
  • Default: Get the latest changes from the last day from the main branch of the repository

PR Analysis

Analyze the provided GitHub changes and related issues. Look for:

  1. New features that have been added
  2. Bug fixes that have been implemented
  3. Any other significant changes or improvements
  4. References to specific issues and their details
  5. Names of contributors who made the changes
  6. Use gh cli to lookup the PRs as well and the description of the PRs
  7. Check PR labels to identify feature type (feature, bug, chore, etc.)
  8. Look for breaking changes and highlight them prominently
  9. Include PR numbers for traceability
  10. Check if PRs are linked to issues and include issue context

Content Priorities

  1. Breaking changes (if any) - MUST be at the top
  2. User-facing features
  3. Critical bug fixes
  4. Performance improvements
  5. Developer experience improvements
  6. Documentation updates

Formatting Guidelines

Now, create a change log summary with the following guidelines:

  1. Keep it concise and to the point
  2. Highlight the most important changes first
  3. Group similar changes together (e.g., all new features, all bug fixes)
  4. Include issue references where applicable
  5. Mention the names of contributors, giving them credit for their work
  6. Add a touch of humor or playfulness to make it engaging
  7. Use emojis sparingly to add visual interest
  8. Keep total message under 2000 characters for Discord
  9. Use consistent emoji for each section
  10. Format code/technical terms in backticks
  11. Include PR numbers in parentheses (e.g., "Fixed login bug (#123)")

Read the full file on GitHub · 141 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. 3d ago First seen · 141 lines · 14 tokens per session scan A 3887f758bc31

Subscribe to this mod's changes

changelog is a command published in the GitHub repository aegntic/compound-engineering (2 stars, last pushed 2mo ago), licensed MIT. It adds 14 tokens to every session and 1,051 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 95% identical to changelog, differing in 6 lines, and is treated as a copy.