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 sharedgit 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/shared)<a href="https://agentmods.dev/skills/rshankras/claude-code-apple-skills/shared"><img src="https://agentmods.dev/badge/skills/rshankras/claude-code-apple-skills/shared.svg" alt="Measured on agentmods" 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 | $0.00025 | $0.00335 |
| Opus 5 | $0.00013 | $0.00168 |
| Sonnet 5 | $0.00005 | $0.00067 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
shared 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 3d 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.
What it actually says
Shared Skills
Platform-agnostic skills that work across iOS, macOS, and other Apple platforms. This category provides foundational tools for extending Claude Code's capabilities.
When This Skill Activates
Use this skill when the user:
- Wants to create a new Claude Code skill
- Asks about skill structure or organization
- Wants to improve or refactor existing skills
- Needs help with skill modularization
- Asks about skill best practices or templates
Available Modules
Read relevant module files based on the user's needs:
skill-creator/
Templates and guidance for creating well-structured Claude Code skills.
- Skill structure and organization patterns
- YAML front matter configuration
- Modularization strategies
- Templates for simple and complex skills
- Best practices and common pitfalls
How to Use
- Identify user's need from their question
- Read relevant module files from subdirectories
- Apply the guidance to their specific context
- Provide examples from existing skills when helpful
Example Workflow
User wants to create a new skill:
- Read
skill-creator/SKILL.mdfor the full creation process - Determine skill complexity (simple vs modularized)
- Guide through front matter, structure, and content
- Reference existing skills as examples
What ships with it
4 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.
- 3d ago First seen · 48 lines · 25 tokens per session scan A ab53f423832a
shared is a skill published in the GitHub repository rshankras/claude-code-apple-skills (701 stars, last pushed 1mo ago), licensed MIT. It adds 25 tokens to every session and 335 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 2026-09-03.
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