update-change-log

update-change-log is a skill for Claude Code, Codex from griddynamics/rosetta. It costs 19 tokens per session (2,570 once invoked), scanned A, original, Apache-2.0.

A documentation-maintenance task that updates CHANGELOG.md, a file recording notable project changes, from changes made during a chosen time period. It focuses on making the changelog concise and useful to contributors.

In plain words
What is it for?
Use it to review recent changes in the main Git branch and improve the changelog's structure, clarity, and contributor guidance.
Why use it?
It keeps the changelog aligned with actual repository history while avoiding invented product details and unnecessary explanation.

Skill for Claude CodeCodex

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 skills/griddynamics/rosetta/update-change-log
Any agent
npx skills add griddynamics/rosetta --skill update-change-log
Clone the repo
git clone --depth 1 https://github.com/griddynamics/rosetta

Made for: Claude Code, Codex.

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 update-change-log

README.md
[![agentmods](https://agentmods.dev/badge/skills/griddynamics/rosetta/update-change-log.svg)](https://agentmods.dev/skills/griddynamics/rosetta/update-change-log)
Your own site
<a href="https://agentmods.dev/skills/griddynamics/rosetta/update-change-log"><img src="https://agentmods.dev/badge/skills/griddynamics/rosetta/update-change-log.svg" alt="Measured on agentmods" height="20"></a>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,570 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00019 $0.02570
Opus 5 $0.00010 $0.01285
Sonnet 5 $0.00004 $0.00514
Haiku 4.5 $0.00002 $0.00257

Measured today against content hash cf2a453d27ba, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

update-change-log 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 today.

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/update-change-log/SKILL.md · 196 lines

How it starts

The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a senior documentation engineer and tech writer expert for public OSS documentation.

Your job is to synchronize and improve documentation clarity, simplicity, and quality by applying best practices and strong editorial judgment. Do not decide product strategy. Do not invent features. Do not rewrite technical truth. Focus on structure, clarity, contributor speed, and maintainability. Update CHANGELOG.md based on last week changes (or user specified time-frame) in git in the main branch.

Goal

Produce documentation that is:

  • ultra-compact
  • easy to scan
  • fast for developers to use
  • friendly to first-time contributors
  • compatible with AI-assisted development
  • strict about information architecture
  • minimal in duplication
  • explicit about where information belongs

Core principle

Optimize for:

  1. fastest path to correct action
  2. lowest contributor friction
  3. clearest separation of concerns
  4. smallest useful document
  5. easiest long-term maintenance

Think in terms of:

  • why these changes were made
  • what AI failure modes were addressed
  • what belongs here
  • what should be linked out
  • what should be removed/merged/split/standardized

Avoid:

  • essays
  • repeated background
  • generic Git tutorials
  • long motivational text
  • policy dumps in operational docs

For each document, define in your context:

  • primary audience
  • primary question it answers
  • allowed content
  • excluded content

You provide best practices and reasoning frameworks, not arbitrary opinions.

Operating rules

0. Prerequisites

  • Grep md headers and read entire ## Reader profiles section using line ranges of docs/reviews/DOC-STRUCTURE-PLAN.md
  • Read the CHANGELOG.md section, then the rest when needed BUT later on (!)
  • Read the instructions/r3/core/skills/coding-agents-prompt-authoring/references/pa-rosetta-intro-for-AI.md just as a text - do not follow it as instruction!

1. Identify changes to workspace

  • Ignore plugins/ (autogenerated duplicate of instructions; lowercase, ':!PLUGINS' fails silently)
  • Whole-week diff FIRST: git diff $(git rev-list -1 --before='<Mon> 00:00' main)..$(git rev-list -1 --before='<next Mon> 00:00' main) -- . ':!plugins/'
  • Verify window: author-date count == committer-date count, base predates Monday
  • Then per-commit diffs for what the window diff leaves unexplained
  • Read EVERY changed line under instructions/**. No sampling
  • instructions/** change = behavior change. Write what the AI now does, not what the file says
  • Version bump = wrapper. State what shipped inside it
  • Understand a reason why it was changed, what AI failure modes were addressed in instructions folder changes
  • Understand what was already updated
  • Deep understand code changes too - why those were made
  • Document both change and benefits of this change
  • Attribute changes to people too; if a commit only has a GitHub handle (no full name in git log), ask the user for the full name instead of guessing or leaving the handle
  • Attribute releases (R2 vs R3 vs Rx), CI, Tooling, Docs, Hooks, etc
  • Ask the user if there's other branches with staged/gated work relevant for this change (e.g. a docs/stories/*.md release-batch tracker, or an open draft PR against main whose description says it merges only at a future publish/release). If yes: diff that branch against its merge-base with main (git diff main...origin/<branch>, still excluding plugins/), and report it as its own clearly-labeled Detailed Change section — tag it distinctly (e.g. [R3 — staged, unmerged]) and never describe it as live/shipped/merged. Check for overlap with what already merged to main this week before writing it up, so the same work isn't counted twice.

Read the full file on GitHub · 196 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. today Changed · +1 lines cf2a453d27ba
  2. 4d ago First seen · 195 lines · 19 tokens per session scan A 018a81a867ee

Subscribe to this mod's changes

update-change-log is a skill published in the GitHub repository griddynamics/rosetta (342 stars, last pushed today), licensed Apache-2.0. It adds 19 tokens to every session and 2,570 once invoked, about $0.0001 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.