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/azure/azure-sdk-for-java/release-notesnpx skills add Azure/azure-sdk-for-java --skill release-notesgit clone --depth 1 https://github.com/Azure/azure-sdk-for-javaWhat 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 | $0.00050 | $0.02331 |
| Opus 5 | $0.00025 | $0.01166 |
| Sonnet 5 | $0.00010 | $0.00466 |
| Haiku 4.5 | $0.00005 | $0.00233 |
Grade A, and why
release-notes 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 yesterday.
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 — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Release Notes Skill
Update CHANGELOG.md and/or README.md for an Azure SDK for Java package using a GitHub PR as the source of truth.
Prerequisites
ghCLI authenticated (gh auth status).- The current working directory must be the package root (where
CHANGELOG.mdandREADME.mdlive).
Inputs
Ask the user for any missing inputs before proceeding:
| Input | Required | Description |
|---|---|---|
| PR URL or number | Yes | GitHub PR to use as the source of changes. |
| Package directory | No | Defaults to cwd. Override if the user specifies a different package. |
| Scope | No | changelog, readme, or both (default: both). |
Step 1 — Gather PR information
Use gh to collect the data you need. The diff may be too large for gh pr diff; fall back to the files API.
# PR metadata
gh pr view <number> --json title,body
# File list with status (added/modified/removed/renamed)
gh api repos/{owner}/{repo}/pulls/<number>/files --paginate \
--jq '.[] | .status + " " + .filename'
# Renamed files (old → new)
gh api repos/{owner}/{repo}/pulls/<number>/files --paginate \
--jq '.[] | select(.status == "renamed") | "\(.previous_filename) -> \(.filename)"'
# Patch for a specific file (when you need detail)
gh api "repos/{owner}/{repo}/pulls/<number>/files?per_page=100" \
--jq '.[] | select(.filename | test("<pattern>")) | .patch'
Collect:
- Added, removed, and renamed model/enum classes.
- Changes to client classes (method renames, new methods, removed methods).
- Changes to
*ServiceVersion.java(version string changes). - Changes to
*ClientBuilder.java(base URL, authentication, new builder methods). - Changes to
module-info.java(transitive exports, new requires). - Changes to customization files.
- New or modified samples.
Step 2 — Check for existing entries
Before writing anything, read the current CHANGELOG.md and README.md (if in scope) in full and compare their content against the changes you collected in Step 1.
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.
- yesterday First seen · 205 lines · 50 tokens per session scan A d8b3cff737d1
release-notes is a skill published in the GitHub repository Azure/azure-sdk-for-java (2,566 stars, last pushed 2d ago), licensed MIT. It adds 50 tokens to every session and 2,331 once invoked, about $0.0003 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.
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