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.
npx skills add henryalouf/ruflow --skill app-store-changeloggit clone --depth 1 https://github.com/henryalouf/ruflowWrote 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/skills/henryalouf/ruflow/app-store-changelog)<a href="https://agentmods.dev/skills/henryalouf/ruflow/app-store-changelog"><img src="https://agentmods.dev/badge/skills/henryalouf/ruflow/app-store-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.
<a href="https://agentmods.dev/skills/henryalouf/ruflow/app-store-changelog"><img src="https://agentmods.dev/badge/skills/henryalouf/ruflow/app-store-changelog.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 | $0.00020 | $0.00678 |
| Opus 5 | $0.00010 | $0.00339 |
| Sonnet 5 | $0.00004 | $0.00136 |
| Haiku 4.5 | $0.00002 | $0.00068 |
Grade A, and why
app-store-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 7d 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.
This is a copy
95% identical to app-store-changelog — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
App Store Changelog
Overview
Generate a comprehensive, user-facing changelog from git history since the last tag, then translate commits into clear App Store release notes.
When to Use
- When the user asks for App Store "What's New" text or release notes from git history.
- When you need to turn raw commits into concise, user-facing release bullets.
Workflow
1) Collect changes
- Run
scripts/collect_release_changes.shfrom the repo root to gather commits and touched files. - If needed, pass a specific tag or ref:
scripts/collect_release_changes.sh v1.2.3 HEAD. - If no tags exist, the script falls back to full history.
2) Triage for user impact
- Scan commits and files to identify user-visible changes.
- Group changes by theme (New, Improved, Fixed) and deduplicate overlaps.
- Drop internal-only work (build scripts, refactors, dependency bumps, CI).
3) Draft App Store notes
- Write short, benefit-focused bullets for each user-facing change.
- Use clear verbs and plain language; avoid internal jargon.
- Prefer 5 to 10 bullets unless the user requests a different length.
4) Validate
- Ensure every bullet maps back to a real change in the range.
- Check for duplicates and overly technical wording.
- Ask for clarification if any change is ambiguous or possibly internal-only.
Commit-to-Bullet Examples
The following shows how raw commits are translated into App Store bullets:
| Raw commit message | App Store bullet |
|---|---|
fix(auth): resolve token refresh race condition on iOS 17 |
• Fixed a login issue that could leave some users unexpectedly signed out. |
feat(search): add voice input to search bar |
• Search your library hands-free with the new voice input option. |
perf(timeline): lazy-load images to reduce scroll jank |
• Scrolling through your timeline is now smoother and faster. |
Internal-only commits that are dropped (no user impact):
chore: upgrade fastlane to 2.219refactor(network): extract URLSession wrapper into moduleci: add nightly build job
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.
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.
- 7d ago First seen · 76 lines · 20 tokens per session scan A e63cdabf73b4
app-store-changelog is a skill published in the GitHub repository henryalouf/ruflow (129 stars, last pushed 3mo ago), licensed MIT. It adds 20 tokens to every session and 678 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to app-store-changelog, differing in 6 lines, and is treated as a copy.
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