changelog

changelog is a skill for Codex from frabcd/codex-ai-game-studio. It costs 29 tokens per session (1,506 once invoked), scanned A, original, MIT.

A release-note writer that reads Git history, sprint reports, and completed design documents to produce changelogs for a game. It creates separate versions for the development team and players.

In plain words
What is it for?
Use it to prepare release notes for a target version or sprint, grouping changes into categories such as new features and improvements.
Why use it?
It removes the need to manually collect changes from code history and project documents. It also helps explain why changes were made, not just what changed.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions subagents; mentions Codex; $skill-name invocation.

Good fit Use it to prepare release notes for a target version or sprint, grouping changes into categories such as new features and improvements.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/frabcd/codex-ai-game-studio/changelog
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.

Any agent
npx skills add frabcd/codex-ai-game-studio --skill changelog
Clone the repo
git clone --depth 1 https://github.com/frabcd/codex-ai-game-studio

Made for: Codex.

Wrote 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.

agentmods badge for changelog

README.md
[![agentmods](https://agentmods.dev/badge/skills/frabcd/codex-ai-game-studio/changelog/github.svg)](https://agentmods.dev/skills/frabcd/codex-ai-game-studio/changelog)
Your own site
<a href="https://agentmods.dev/skills/frabcd/codex-ai-game-studio/changelog"><img src="https://agentmods.dev/badge/skills/frabcd/codex-ai-game-studio/changelog/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.

agentmods 80×15 button for changelog

Your own site · 80×15
<a href="https://agentmods.dev/skills/frabcd/codex-ai-game-studio/changelog"><img src="https://agentmods.dev/badge/skills/frabcd/codex-ai-game-studio/changelog.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,506 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00029 $0.01506
Opus 5 $0.00015 $0.00753
Sonnet 5 $0.00006 $0.00301
Haiku 4.5 $0.00003 $0.00151

Measured 8d ago against content hash df817521d10b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

changelog 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 8d 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.

plugins/ai-game-studio/skills/changelog/SKILL.md · 177 lines

How it starts

The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Port provenance: adapted from the pinned upstream source at 984023ddac0d5e27624f2baacde6105e45de375f under MIT; see the repository parity ledger for the exact path and blob.

Phase 1: Parse Arguments

Read the argument for the target version or sprint number. If a version is given, use the corresponding git tag. If a sprint number is given, use the sprint date range.

Verify the repository is initialized: run git rev-parse --is-inside-work-tree to confirm git is available. If not a git repo, inform the user and abort gracefully.


Phase 2: Gather Change Data

Read the git log since the last tag or release:

git log --oneline [last-tag]..HEAD

If no tags exist, read the full log or a reasonable recent range (last 100 commits).

Read sprint reports from production/sprints/ for the relevant period to understand planned work and context behind changes.

Read completed design documents from design/gdd/ for any new features implemented during this period.


Phase 3: Categorize Changes

Categorize every change into one of these categories:

  • New Features: Entirely new gameplay systems, modes, or content
  • Improvements: Enhancements to existing features, UX improvements, performance gains
  • Bug Fixes: Corrections to broken behavior
  • Balance Changes: Tuning of gameplay values, difficulty, economy
  • Known Issues: Issues the team is aware of but have not yet resolved
  • Miscellaneous: Changes that do not fit the above categories, or commits whose messages are too vague to classify confidently

For each commit, check whether the message contains a task ID or story reference (e.g. [STORY-123], TR-, #NNN, or similar). Count commits that lack any task reference and include this count in the Phase 4 Metrics section as: Commits without task reference: [N].


Phase 4: Generate Internal Changelog

# Internal Changelog: [Version]
Date: [Date]
Sprint(s): [Sprint numbers covered]
Commits: [Count] ([first-hash]..[last-hash])

## New Features
- [Feature Name] -- [Technical description, affected systems]
  - Commits: [hash1], [hash2]
  - Owner: [who implemented it]
  - Design doc: [link if applicable]

## Improvements
- [Improvement] -- [What changed technically and why]
  - Commits: [hashes]
  - Owner: [who]

## Bug Fixes
- [BUG-ID] [Description of bug and root cause]
  - Fix: [What was changed]
  - Commits: [hashes]
  - Owner: [who]

## Balance Changes
- [What was tuned] -- [Old value -> New value] -- [Design intent]
  - Owner: [who]

## Technical Debt / Refactoring
- [What was cleaned up and why]
  - Commits: [hashes]

## Miscellaneous
- [Change that didn't fit other categories, or vague commit message]
  - Commits: [hashes]

## Known Issues
- [Issue description] -- [Severity] -- [ETA for fix if known]

## Metrics
- Total commits: [N]
- Files changed: [N]
- Lines added: [N]
- Lines removed: [N]
- Commits without task reference: [N]

Read the full file on GitHub · 177 lines

Files

What ships with it

1 file 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. 8d ago First seen · 177 lines · 29 tokens per session scan A df817521d10b

Subscribe to this mod's changes

changelog is a skill published in the GitHub repository frabcd/codex-ai-game-studio (9 stars, last pushed yesterday), licensed MIT. It adds 29 tokens to every session and 1,506 once invoked, about $0.0001 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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