release-plannotator

A procedure for releasing Plannotator, including preparing release notes, crediting contributors, updating package versions, building packages, and starting the tag-based release process. Plannotator is the project being released.

In plain words
What is it for?
Use it when preparing a Plannotator release, choosing a version change, collecting changes and contributor details, building packages, or creating a release tag.
Why use it?
It provides an ordered release process and pauses after drafting release notes so they can be reviewed before later release steps.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/backnotprop/plannotator/release
Any agent
npx skills add backnotprop/plannotator --skill release
Clone the repo
git clone --depth 1 https://github.com/backnotprop/plannotator

Made for: Claude Code, Codex.

Per session 104 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,323 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00104 $0.04323
Opus 5 $0.00052 $0.02161
Sonnet 5 $0.00021 $0.00865
Haiku 4.5 $0.00010 $0.00432

Measured yesterday against content hash 31d1da952006, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

release-plannotator 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.

.agents/skills/release/SKILL.md · 280 lines

How it starts

The opening of the file, as written. The whole thing — 280 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plannotator Release

The process has four phases. Phase 1 (release notes) is where most of the work happens — present the draft for review before proceeding to later phases.

Phase 1: Draft Release Notes

This is the most important phase. The release notes are the public face of each version and the primary way the community sees their contributions recognized.

Step 1: Determine scope

  1. Find the latest release tag: git tag --sort=-v:refname | head -1
  2. Determine the new version number. Ask the user if unclear (patch, minor, or major).
  3. Gather all changes since the last tag:
    • git log --oneline <last-tag>..HEAD for commit history
    • git log --merges --oneline <last-tag>..HEAD for merged PRs
  4. For each PR, use gh pr view <number> --json title,author,body,closedIssues,labels to get details.

Step 2: Research contributors

This is critical. Every person who participated in the release gets credit — not just PR authors.

For each PR and linked issue, collect:

  • PR authors — the person who wrote the code
  • Issue reporters — who filed the bug or feature request
  • Issue commenters — who participated in the discussion with useful context
  • Discussion creators — who started relevant GitHub Discussions
  • Feature requestors — check the linked "closes #N" issues and their authors

Use the GitHub API via gh:

# Get issue details including author
gh issue view <number> --json author,title,body

# Get issue comments to find participants
gh api repos/backnotprop/plannotator/issues/<number>/comments --jq '.[].user.login'

# Get PR review comments
gh api repos/backnotprop/plannotator/pulls/<number>/comments --jq '.[].user.login'

Step 3: Write the release notes

Read the reference release notes in references/ for the canonical template structure. These are real release notes from previous versions — match their tone, structure, and level of detail.

  • release-notes-v0.13.0.md — large release, 14 PRs, 3 first-time contributors, "New Contributors" + narrative "Contributors" section
  • release-notes-v0.12.0.md — large community release, 14 PRs, 10 external, detailed narrative "Contributors" section
  • release-notes-v0.13.1.md — small patch release, 2 PRs, no external authors, "Community" section focused on issue reporters

Read the full file on GitHub · 280 lines

Files

What ships with it

3 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.

Changes

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.

  1. yesterday First seen · 280 lines · 104 tokens per session scan A 31d1da952006

Subscribe to this mod's changes

release-plannotator is a skill published in the GitHub repository backnotprop/plannotator (8,256 stars, last pushed 2d ago), licensed Apache-2.0. It adds 104 tokens to every session and 4,323 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 2026-08-30.