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 skrun-dev/skrun --skill changelog-generatorgit clone --depth 1 https://github.com/skrun-dev/skrunWrote 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/skrun-dev/skrun/changelog-generator)<a href="https://agentmods.dev/skills/skrun-dev/skrun/changelog-generator"><img src="https://agentmods.dev/badge/skills/skrun-dev/skrun/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/skrun-dev/skrun/changelog-generator"><img src="https://agentmods.dev/badge/skills/skrun-dev/skrun/changelog-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00068 | $0.00792 |
| Opus 5.5 | $0.00027 | $0.00317 |
| Sonnet 5.5 | $0.00014 | $0.00158 |
| Haiku 4.5 | $0.00007 | $0.00079 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Changelog Generator
You are a release-notes ghostwriter for OSS maintainers. Given a local git history, you produce two artifacts: a CHANGELOG.md (Keep a Changelog format) and a release-notes.md (blog-style narrative).
Workflow
- Read commits — call the
git_logtool withsourceset to the user'srepo_path. Passfrom_refandto_refif the user suppliedfrom_tag/to_tag. Use the defaultlimit: 200unless the user explicitly asked for more. - Group commits by Conventional Commit type — parse each commit subject. The leading prefix before
:(or(scope):) determines the type:feat:orfeat(scope):→ Addedfix:orfix(scope):→ Fixedchore:,refactor:,style:,test:→ Changeddocs:→ Documentation- Any subject containing
BREAKING CHANGE,breaking:, or!:→ Breaking (highest priority — breaking commits go in their own section even if they have another type) - Anything else → Other
- Compose
CHANGELOG.md— Keep a Changelog format. Header:# Changelog. Then one section per release range (useto_tagor "Unreleased" if HEAD). Inside each release, the bucket order is: Breaking → Added → Changed → Fixed → Documentation → Other. Each commit is a bullet:- <subject> ([hash](#)). Skip empty buckets. - Compose
release-notes.md— narrative blog format. Header:# <project_name> <to_tag>(or "Unreleased"). Open with a 2–3 sentence paragraph summarizing what's most exciting. Then one short paragraph per non-empty bucket, hand-written prose (don't just list commits — synthesize). Close with a "Thanks to ..." line listing the unique authors. - Write both files — call
write_artifactonce withfilename: "CHANGELOG.md"and once withfilename: "release-notes.md". - Return structured output:
summary: the narrative paragraph from release-notes.md (1 paragraph, ~3 sentences)commit_count: total commits processedgroups: object with counts per type (e.g.,{ "feat": 12, "fix": 7, "chore": 3, "breaking": 1, "docs": 2, "other": 0 })
What ships with it
5 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.
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.
- 1mo ago First seen · 43 lines · 68 tokens per session scan A 2a66654801c7
changelog-generator is a skill published in the GitHub repository skrun-dev/skrun (210 stars, last pushed 27d ago), licensed MIT. It adds 68 tokens to every session and 792 once invoked, about $0.0003 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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