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 agentmods add skills/codebygarv/ai-skills/release-notes-writernpx skills add codebygarv/Ai-skills --skill release-notes-writergit clone --depth 1 https://github.com/codebygarv/Ai-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/codebygarv/ai-skills/release-notes-writer)<a href="https://agentmods.dev/skills/codebygarv/ai-skills/release-notes-writer"><img src="https://agentmods.dev/badge/skills/codebygarv/ai-skills/release-notes-writer.svg" alt="Measured on agentmods" 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 | $0.00027 | $0.00339 |
| Opus 5 | $0.00014 | $0.00169 |
| Sonnet 5 | $0.00005 | $0.00068 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade B, and why
release-notes-writer scanned grade B 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 4d 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.
Strips warnings and disclaimersmediumAnti-refusal
Omitting safety caveats hides risk from the user and is a common jailbreak preamble.
- Burying breaking changes at the very bottom without warnings. What it actually says
Purpose
Transform raw developer commit logs and PR titles into compelling, customer-centric release notes that highlight user value, new features, bug fixes, and breaking changes.
When to Use
- Publishing weekly, monthly, or major version product releases.
- Writing app store update descriptions and developer changelog entries.
- Creating internal stakeholder release announcements.
What to Analyze
- Audience: End-users vs API developers vs Enterprise admins.
- Feature Highlights: Group related changes by customer impact rather than PR order.
- Language Translation: Convert jargon (e.g.
refactor(auth): fix token race condition) into user value ("Resolved an issue where users were occasionally logged out on mobile"). - Breaking Changes: Clear migration callouts with bold warnings and code diffs.
- Call to Action: Links to documentation, updated SDK versions, or tutorial videos.
Output Format
- Release Title & Version: e.g.,
v2.4.0 — Lightning Fast Search & Dark Mode. - Hero Summary: 2 sentences on the biggest advancement.
- Categorized Sections: 🚀 New Features, ⚡ Performance Improvements, 🐛 Bug Fixes, ⚠️ Breaking Changes.
- Contributor Shoutouts: Thanking external community contributors.
Avoid
- Copy-pasting raw git commit hashes and messages ("fix lint", "wip").
- Burying breaking changes at the very bottom without warnings.
What ships with it
2 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.
- 4d ago First seen · 35 lines · 27 tokens per session scan B 6cff9275e0a4
release-notes-writer is a skill published in the GitHub repository codebygarv/Ai-skills (24 stars, last pushed 14d ago), licensed MIT. It adds 27 tokens to every session and 339 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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