changelog-summarizing

changelog-summarizing is a skill for Claude Code from shopwareLabs/ai-coding-tools. It costs 106 tokens per session (1,884 once invoked), scanned A, original, MIT.

A tool for summarising committed repository changes since a chosen date. It creates separate posts for Discord and Slack, two chat platforms with different message formats.

In plain words
What is it for?
Use it to prepare a release update or a recap of what shipped during a week or other time period. It can work from a specific date or a relative date such as “two weeks ago.”
Why use it?
It removes the manual work of checking commits and rewriting them for each chat platform. It also keeps the summary focused on the main branch.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool.

Good fit Use it to prepare a release update or a recap of what shipped during a week or other time period. It can work from a specific date or a relative date such as “two weeks ago.”

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/shopwarelabs/ai-coding-tools/changelog-summarizing
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.

Any agent
npx skills add shopwareLabs/ai-coding-tools --skill changelog-summarizing
Clone the repo
git clone --depth 1 https://github.com/shopwareLabs/ai-coding-tools

Made for: Claude Code.

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-summarizing

README.md
[![agentmods](https://agentmods.dev/badge/skills/shopwarelabs/ai-coding-tools/changelog-summarizing/github.svg)](https://agentmods.dev/skills/shopwarelabs/ai-coding-tools/changelog-summarizing)
Your own site
<a href="https://agentmods.dev/skills/shopwarelabs/ai-coding-tools/changelog-summarizing"><img src="https://agentmods.dev/badge/skills/shopwarelabs/ai-coding-tools/changelog-summarizing/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.

agentmods 80×15 button for changelog-summarizing

Your own site · 80×15
<a href="https://agentmods.dev/skills/shopwarelabs/ai-coding-tools/changelog-summarizing"><img src="https://agentmods.dev/badge/skills/shopwarelabs/ai-coding-tools/changelog-summarizing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 106 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,884 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00106 $0.01884
Opus 5.5 $0.00042 $0.00754
Sonnet 5.5 $0.00021 $0.00377
Haiku 4.5 $0.00011 $0.00188

Measured 1mo ago against content hash 368ad3acd9da, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

changelog-summarizing 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.

.claude/skills/changelog-summarizing/SKILL.md · 214 lines

How it starts

The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Changelog Summary Post

Generate summary posts about repository changes since a given date. Produces two separate outputs: one formatted for Discord (markdown) and one for Slack (mrkdwn).

Requirements

  • Working directory is this repository
  • User provides a date (absolute or relative)

Hard Constraints

  • Main branch only. Only analyze committed history on the main branch. Ignore uncommitted files, staged changes, untracked files, and working tree state entirely. The skill operates as if in a clean checkout.
  • Repository URL: https://github.com/shopwareLabs/ai-coding-tools. Use this for constructing plugin links.

Phase 1: Parse Date

Extract the date from the user's input. Accept absolute dates ("2026-04-01") and relative dates ("last Monday", "two weeks ago").

If no date is provided, ask:

What date should I summarize changes from? (e.g., "2026-04-01" or "last Monday")

If the date is in the future, inform the user and stop.

Phase 2: Discover Commits

Commits on main matching the requested date:

if [ -z "$since" ]; then
  echo "(no date supplied at skill invocation)"
else
  git log main --since="$since" --format="%H %s" --no-merges
fi

If no commits are listed above, tell the user and stop:

No commits found on main since .

If the listing reads "(no date supplied at skill invocation)", ask the user for a date (Phase 1) and re-invoke the skill with the date as the first argument.

Use the listed hashes as the input to Phase 3.

Phase 3: Analyze Each Commit

For every commit hash from Phase 2, run:

git show <hash>

For each commit, extract:

  1. The full commit message (intent)
  2. The diff (actual code changes)
  3. The conventional commit scope from the subject line (if present)

Analyze both the message and the diff to understand what actually changed and why. The message states the intent; the diff confirms what happened. Use both to produce an accurate summary.

Phase 4: Group and Cluster

Group by scope: Parse type(scope): subject from each commit's subject line. Group commits by their scope value. Commits without a scope go into a "General" group.

Read the full file on GitHub · 214 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 1mo ago First seen · 214 lines · 106 tokens per session scan A 368ad3acd9da

Subscribe to this mod's changes

changelog-summarizing is a skill published in the GitHub repository shopwareLabs/ai-coding-tools (45 stars, last pushed 2d ago), licensed MIT. It adds 106 tokens to every session and 1,884 once invoked, about $0.0004 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.

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