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SKILL verified MIT Self-run

Changelog

skill-frabcd-codex-ai-game-studio-changelog · by frabcd

Auto-generates a changelog from git commits, sprint data, and design documents. Produces both internal and player-facing versions.

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Install

$ agentstack add skill-frabcd-codex-ai-game-studio-changelog

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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● 1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

> 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]

Phase 5: Generate Player-Facing Changelog

# What is New in [Version]

## New Features
- **[Feature Name]**: [Player-friendly description of what they can now do
  and why it is exciting. Focus on the experience, not the implementation.]

## Improvements
- **[What improved]**: [How this makes the game better for the player.
  Be specific but avoid jargon.]

## Bug Fixes
- Fixed an issue where [describe what the player experienced, not what was
  wrong in the code]
- Fixed [player-visible symptom]

## Balance Changes
- [What changed in player-understandable terms and the design intent.
  Example: "Healing potions now restore 50 HP (up from 30) -- we felt
  players needed more recovery options in late-game encounters."]

## Known Issues
- We are aware of [issue description in player terms] and are working on a
  fix. [Workaround if one exists.]

---
Thank you for playing! Your feedback helps us make the game better.
Report issues at [link].

Phase 6: Output

Output both changelogs to the user. The internal changelog is the primary working document. The player-facing changelog is ready for community posting after review.


Phase 7: Offer File Write

After presenting the changelogs, ask the user:

> "May I write this changelog to docs/CHANGELOG.md? > [A] Yes, append this entry (recommended if the file already exists) > [B] Yes, overwrite the file entirely > [C] No — I'll copy it manually"

  • Check whether docs/CHANGELOG.md exists before asking. If it does, default the

recommendation to [A] append.

  • If the user selects [A]: append the new internal changelog entry to the top of

the existing file (newest entries first).

  • If the user selects [B]: overwrite the file with the new changelog.
  • If the user selects [C]: stop here without writing.

After a successful write: Verdict: CHANGELOG WRITTEN — changelog saved to docs/CHANGELOG.md. If the user declines: Verdict: COMPLETE — changelog generated.


Phase 7: Next Steps

  • Use $ai-game-studio:patch-notes [version] to generate a styled, saved version for public release.
  • Use $ai-game-studio:release-checklist before publishing the changelog externally.

Guidelines

  • Never expose internal code references, file paths, or developer names in the player-facing changelog
  • Group related changes together rather than listing individual commits
  • If a commit message is unclear, check the associated files and sprint data for context
  • Balance changes should always include the design reasoning, not just the numbers
  • Known issues should be honest — players appreciate transparency
  • If the git history is messy (merge commits, reverts, fixup commits), clean up the narrative rather than listing every commit literally

Codex portability

Use the search, file-editing, shell, user-input, and subagent capabilities available in the active Codex surface. Use PowerShell syntax on Windows and POSIX syntax on macOS/Linux; do not require a Unix compatibility layer on Windows. Inherit the active model and permission mode, and do not weaken approval or sandbox boundaries.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.