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 skills add bestagentkits/agency-skills --skill changelog-generatorgit clone --depth 1 https://github.com/bestagentkits/agency-skillsWrote 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/bestagentkits/agency-skills/changelog-generator)<a href="https://agentmods.dev/skills/bestagentkits/agency-skills/changelog-generator"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/changelog-generator/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/skills/bestagentkits/agency-skills/changelog-generator"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/changelog-generator.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 | $0.00107 | $0.01758 |
| Opus 5 | $0.00053 | $0.00879 |
| Sonnet 5 | $0.00021 | $0.00352 |
| Haiku 4.5 | $0.00011 | $0.00176 |
Grade A, and why
changelog-generator 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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- changelog-generator — 97% identical, 7 lines differ
How it starts
The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Changelog Generator
Tier: POWERFUL
Category: Engineering
Domain: Release Management / Documentation
Overview
Use this skill to produce consistent, auditable release notes from Conventional Commits. It separates commit parsing, semantic bump logic, and changelog rendering so teams can automate releases without losing editorial control.
Core Capabilities
- Parse commit messages using Conventional Commit rules
- Detect semantic bump (
major,minor,patch) from commit stream - Render Keep a Changelog sections (
Added,Changed,Fixed, etc.) - Generate release entries from git ranges or provided commit input
- Enforce commit format with a dedicated linter script
- Support CI integration via machine-readable JSON output
When to Use
- Before publishing a release tag
- During CI to generate release notes automatically
- During PR checks to block invalid commit message formats
- In monorepos where package changelogs require scoped filtering
- When converting raw git history into user-facing notes
Key Workflows
1. Generate Changelog Entry From Git
python3 scripts/generate_changelog.py \
--from-tag v1.3.0 \
--to-tag v1.4.0 \
--next-version v1.4.0 \
--format markdown
2. Generate Entry From stdin/File Input
git log v1.3.0..v1.4.0 --pretty=format:'%s' | \
python3 scripts/generate_changelog.py --next-version v1.4.0 --format markdown
python3 scripts/generate_changelog.py --input commits.txt --next-version v1.4.0 --format json
3. Update CHANGELOG.md
python3 scripts/generate_changelog.py \
--from-tag v1.3.0 \
--to-tag HEAD \
--next-version v1.4.0 \
--write CHANGELOG.md
4. Compute the Next Version From Commits
When the user has not decided the next version, derive it instead of guessing:
git log v1.3.0..HEAD --oneline | \
python3 scripts/version_bumper.py --current-version 1.3.0 --output-format json
Output JSON contains recommended_version, bump_type (major/minor/patch/none), and with --include-commands the exact git tag commands. Feed recommended_version into generate_changelog.py --next-version. Pre-releases: add --prerelease alpha|beta|rc. Input must be real git log --oneline output (hex hashes); a sample lives at assets/sample_git_log.txt.
What ships with it
10 files 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.
- agents/openai.yaml 208 B
- assets/sample_git_log.txt 2.0 KB
- README.md 1.4 KB
- references/changelog-formatting-guide.md 316 B
- references/ci-integration.md 509 B
- references/hotfix-procedures.md 15 KB
- references/monorepo-strategy.md 1.3 KB
- scripts/commit_linter.py 3.9 KB runs code
- scripts/generate_changelog.py 7.7 KB runs code
- scripts/version_bumper.py 23 KB runs code
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.
- 9d ago First seen · 204 lines · 107 tokens per session scan A 783ecfdcb6b2
changelog-generator is a skill published in the GitHub repository bestagentkits/agency-skills (11 stars, last pushed 2mo ago), licensed MIT. It adds 107 tokens to every session and 1,758 once invoked, about $0.0005 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 2026-09-03.
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