Borrowing it
Nothing to install: this file belongs to autopkg/dataJAR-recipes. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/autopkg/dataJAR-recipes/master/.github/skills/autopkg-recipes/SKILL.mdgit clone --depth 1 https://github.com/autopkg/dataJAR-recipesWrote 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/autopkg/datajar-recipes/autopkg-recipes)<a href="https://agentmods.dev/skills/autopkg/datajar-recipes/autopkg-recipes"><img src="https://agentmods.dev/badge/skills/autopkg/datajar-recipes/autopkg-recipes/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/autopkg/datajar-recipes/autopkg-recipes"><img src="https://agentmods.dev/badge/skills/autopkg/datajar-recipes/autopkg-recipes.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 | $0.00101 | $0.06560 |
| Opus 5.5 | $0.00040 | $0.02624 |
| Sonnet 5.5 | $0.00020 | $0.01312 |
| Haiku 4.5 | $0.00010 | $0.00656 |
Grade C, and why
autopkg-recipes scanned grade C with 2 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 1mo 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -s "https://api.github.com/repos/OWNER/REPO/releases" | python3 -c "import sys,json; [print(f'{r[\"tag_name\"]}: prerelease={r[\"prerelease\"]}') for r in json.load(sys.stdin)]" Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "https://raw.githubusercontent.com/autopkg/index/main/v1/index.json" -o /tmp/autopkg-index.json How it starts
The opening of the file, as written. The whole thing — 477 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AutoPkg Recipe Creation
Create, review, and fix AutoPkg recipes following dataJAR-recipes conventions.
When to Use
- Creating new AutoPkg download, munki, or pkg recipes
- Reviewing existing recipes for standards compliance
- Fixing formatting, naming, or structural issues in recipes
- Adding architecture support to existing recipes
- Adding minimum OS version detection to munki recipes
Information Gathering
Before creating recipes, collect these details from the user:
- Application name (as shown in Finder)
- Developer name
- Download method (Direct URL / Sparkle / GitHub Releases / Web Scraping)
- Download URL or source
- File format (.dmg / .pkg / .zip / .app)
- Architecture (Universal / Intel / Apple Silicon / Separate downloads)
- Recipe types needed (download / munki / pkg)
- Bundle ID (if known)
- Code signature info (if known)
- Special requirements (dependencies, scripts, etc.)
Procedure
Step 1: Derive App Name from URL
Before searching for existing recipes, derive the actual app name from the download URL and any available metadata. This mirrors Recipe Robot's flow — it downloads and inspects the app to get CFBundleName before searching.
URL Analysis:
- Parse the filename from the URL (e.g.,
TheUnarchiver.dmg→TheUnarchiver) - Look for bundle ID patterns in URL path segments (e.g.,
com.macpaw.site.theunarchiver) - If the URL points to a Sparkle appcast, fetch it to extract the app name and download URL
- If the user provided an app name, use it — but also check variations (with/without spaces, articles like "The")
Normalise the app name for searching by stripping spaces, dots, commas, and hyphens, then lowercasing. For example:
- "The Unarchiver" →
theunarchiver - "Visual Studio Code" →
visualstudiocode - "BBEdit" →
bbedit
Step 2: Check for Existing Recipes
Search for existing AutoPkg recipes using the app name derived in Step 1. Recipes may already exist in community repositories that can be used as-is, overridden, or used as parent recipes.
What ships with it
6 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.
- 1mo ago Changed · +1 lines 0ce11b1d22e0
- 2mo ago First seen · 476 lines · 101 tokens per session scan C 3d40f8765fe8
autopkg-recipes is a skill published in the GitHub repository autopkg/dataJAR-recipes (130 stars, last pushed 2d ago), licensed Apache-2.0. It adds 101 tokens to every session and 6,560 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
autopkg-recipes compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| autopkg-recipesautopkg/dataJAR-recipes | Skill | 130 | 2d ago | Apache-2.0 | C | 101 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |