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 rshankras/claude-code-apple-skills --skill quick-win-sessiongit clone --depth 1 https://github.com/rshankras/claude-code-apple-skillsWrote 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/rshankras/claude-code-apple-skills/quick-win-session)<a href="https://agentmods.dev/skills/rshankras/claude-code-apple-skills/quick-win-session"><img src="https://agentmods.dev/badge/skills/rshankras/claude-code-apple-skills/quick-win-session/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/rshankras/claude-code-apple-skills/quick-win-session"><img src="https://agentmods.dev/badge/skills/rshankras/claude-code-apple-skills/quick-win-session.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00043 | $0.02354 |
| Opus 5.5 | $0.00017 | $0.00942 |
| Sonnet 5.5 | $0.00009 | $0.00471 |
| Haiku 4.5 | $0.00004 | $0.00235 |
Grade A, and why
quick-win-session 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 275 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quick Win Session Generator
Generate a "quick win" session system that guides users to complete a meaningful action within their first 60 seconds. Reduces time-to-value by surfacing the simplest high-impact task, walking the user through it step by step, and celebrating completion. Critical for onboarding retention — users who achieve a quick win in the first minute are significantly more likely to return.
When This Skill Activates
Use this skill when the user:
- Asks about "quick win" flows or "first action" experiences
- Wants to reduce "time to value" or "time to first success"
- Mentions "guided first task" or "onboarding action"
- Asks about a "first success moment" or "activation metric"
- Wants to "get users to do something useful immediately"
- Mentions "new user activation" or "onboarding retention"
Pre-Generation Checks
1. Project Context Detection
- Check deployment target (iOS 17+ / macOS 14+ required for @Observable)
- Check Swift version (requires Swift 5.9+)
- Identify source file locations
2. Existing Onboarding Detection
Search for existing onboarding code:
Glob: **/*Onboarding*.swift, **/*Welcome*.swift, **/*QuickWin*.swift, **/*FirstRun*.swift
Grep: "onboarding" or "firstLaunch" or "hasCompletedSetup" or "isNewUser"
If existing onboarding found:
- Ask if quick win should run after the existing onboarding or replace it
- If running after, integrate as the next step in the onboarding flow
3. User State Tracking Detection
Search for existing user defaults or state tracking:
Grep: "UserDefaults" or "@AppStorage" or "isFirstLaunch"
Determine how to persist quick win completion status (UserDefaults, AppStorage, SwiftData, etc.).
Configuration Questions
Ask user via AskUserQuestion:
- Quick win type?
- Create first item (e.g., first note, first task, first photo)
- Complete profile (fill in name, avatar, preferences)
- Import data (bring in existing content from another source)
- Explore feature (guided tour of the single most valuable feature)
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.
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 First seen · 275 lines · 43 tokens per session scan A 8b40c6286709
quick-win-session is a skill published in the GitHub repository rshankras/claude-code-apple-skills (823 stars, last pushed 3mo ago), licensed MIT. It adds 43 tokens to every session and 2,354 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.
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