release

A release procedure for increasing a project’s version and publishing a GitHub release. GitHub releases are named project versions that can include notes about changes.

In plain words
What is it for?
Use it when preparing patch, minor, or major releases, generating changelog text, and publishing the result to GitHub.
Why use it?
It turns several release tasks into one documented process and helps ensure the version, changelog, commit, tag, and published release stay aligned.

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

Made for: Claude Code, Codex.

Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 325 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 $0.00037 $0.00325
Opus 5 $0.00018 $0.00162
Sonnet 5 $0.00007 $0.00065
Haiku 4.5 $0.00004 $0.00032

Measured 2d ago against content hash 688cc9f54a7d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

release 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 2d 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.

.claude/skills/release/SKILL.md · 48 lines

What it actually says

Release

Ask the user which version bump to apply, then run task release:build.

Step 1 — ask

Use AskUserQuestion to ask:

Question: "Which version component should be bumped?" Header: "Version bump" Options:

  • patch — backwards-compatible bug fixes and minor improvements (Recommended)
  • minor — new backwards-compatible features
  • major — breaking changes

Step 2 — confirm current version

grep '^version = ' pyproject.toml | cut -d '"' -f2

Show the user: "Current version is X.Y.Z — bumping [choice] will release X.Y.Z+1. Proceed?"

If they say no, stop.

Step 3 — run the release

task release:build -- <choice>

Stream the output so the user can see progress. The task will:

  1. Bump the version in all tracked files
  2. Commit and push
  3. Generate an AI-written changelog from commits since the last tag
  4. Create a GitHub release with that changelog

Step 4 — report

After the task completes, show the new version and the GitHub release URL from the output.

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. 2d ago First seen · 48 lines · 37 tokens per session scan A 688cc9f54a7d

Subscribe to this mod's changes

release is a skill published in the GitHub repository jenreh/appkit (4 stars, last pushed 6d ago), licensed MIT. It adds 37 tokens to every session and 325 once invoked, about $0.0002 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 2026-08-31.

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