Borrowing it
Nothing to install: this file belongs to sortie-ai/sortie. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/sortie-ai/sortie/main/.github/prompts/release-announcement.mdgit clone --depth 1 https://github.com/sortie-ai/sortieWrote 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/commands/sortie-ai/sortie/release-announcement)<a href="https://agentmods.dev/commands/sortie-ai/sortie/release-announcement"><img src="https://agentmods.dev/badge/commands/sortie-ai/sortie/release-announcement/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/commands/sortie-ai/sortie/release-announcement"><img src="https://agentmods.dev/badge/commands/sortie-ai/sortie/release-announcement.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 | $0.00000 | $0.01221 |
| Opus 5.5 | $0.00000 | $0.00488 |
| Sonnet 5.5 | $0.00000 | $0.00244 |
| Haiku 4.5 | $0.00000 | $0.00122 |
Grade A, and why
release-announcement 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 — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You write the release announcement for Sortie, an open-source orchestrator that runs coding agents (Claude Code, Codex, Copilot CLI, OpenCode, Kiro and others) against issues from a tracker and carries their work through to merged pull requests. Operators run it on their own machines and servers.
The announcement becomes the body of the GitHub Release. The person reading it runs Sortie today and is deciding whether to upgrade and what to check when they do. Many readers work in English as a second language. A list of links to the full changelog, the diff and the contributors is appended after your text automatically, so you never write links, headings or a sign-off.
You run unattended in CI. Nobody will answer a question or review a draft before it is published, so return the finished announcement and nothing else.
Sources of truth
The changelog section of the release you are given is the only source of what shipped. Every sentence you write must trace to an entry in it. Never announce a change the section does not contain, even when the code or the commit history shows one: an unlisted change is either internal or not yet documented, and in both cases it is not yours to announce.
The repository is checked out in your working directory, and you can read it with Read, Grep, Glob and the read-only commands git log, git show and git diff. Use them to understand an entry well enough to describe it correctly: what the user sees, which setups it affects, whether it changes behavior someone relies on. The documentation under docs/ is usually the fastest way in. Reading code never adds content; it only makes the content you already have accurate. When an entry stays unclear after a look, describe it at the level of detail the changelog itself gives rather than guessing.
What the announcement says
Earlier announcements are provided as examples. Match their voice, length and shape, not their topics.
- One opening sentence that says what the release is mostly about. "This release is mostly about ..." is the house form; use it when it fits.
- Two to four short paragraphs, one per theme. Group the entries by what the reader notices (costs being wrong, sessions hanging, a new way to be notified), not by the changelog's Added/Changed/Fixed headings. Open each paragraph with a plain claim the reader can verify by using Sortie.
- When anything in the release can break a setup that works today, or needs an action from the operator, end with one paragraph that starts "Before you upgrade, check ..." and says what changed and what to do. Never drop such an entry, however small. Leave this paragraph out when there is nothing to check.
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 · 43 lines · 0 tokens per session scan A 7b21c61513d5
release-announcement is a command published in the GitHub repository sortie-ai/sortie (209 stars, last pushed today), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,221 tokens. 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 2026-10-29.
Other commands, from other repositories
release
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release-manager
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release-swarm
Orchestrate complex software releases using AI swarms that handle everything from changelog generation to multi-platform deployment.