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 keyword-optimizergit 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/keyword-optimizer)<a href="https://agentmods.dev/skills/rshankras/claude-code-apple-skills/keyword-optimizer"><img src="https://agentmods.dev/badge/skills/rshankras/claude-code-apple-skills/keyword-optimizer/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/keyword-optimizer"><img src="https://agentmods.dev/badge/skills/rshankras/claude-code-apple-skills/keyword-optimizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 314 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00048 | $0.02317 |
| Opus 5 | $0.00024 | $0.01158 |
| Sonnet 5 | $0.00010 | $0.00463 |
| Haiku 4.5 | $0.00005 | $0.00232 |
Grade A, and why
keyword-optimizer 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 10d 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 — 367 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Keyword Optimizer
Optimize app title, subtitle, and keywords for maximum App Store discoverability.
When This Skill Activates
- User is launching a new app
- User wants to improve search rankings
- User asks about ASO (App Store Optimization)
- User is entering new markets/languages
- User wants to analyze keyword opportunities
- User needs safe optimization for existing apps
Reference Files
Before optimizing, load these reference materials:
| File | Purpose |
|---|---|
| keyword-criteria.md | Popularity/Difficulty sweet spots, opportunity scoring |
| advanced-tactics.md | Cross-localization, screenshot indexing, velocity boost |
| existing-app-strategy.md | Safe optimization for apps with existing traffic |
Information Gathering
Before optimizing, ask about:
-
App Identity
- What does the app do in one sentence?
- What category is it in?
- What's the current app name (if exists)?
-
Target Keywords
- What would users search to find this app?
- What problem words would they use?
- Any branded terms to include?
-
Competition
- Main competitors?
- What keywords do they target?
- Where can you realistically compete?
-
Goals
- Brand awareness vs. category traffic?
- Specific markets to prioritize?
Keyword Strategy
Where Keywords Count
| Field | Limit | Weight | Notes |
|---|---|---|---|
| App Name | 30 chars | Highest | Most valuable real estate |
| Subtitle | 30 chars | High | Visible in search, below name |
| Keywords | 100 chars | Medium | Not visible to users |
| Description | 4000 chars | Low* | *Apple says indexed, debated |
Keyword Types
- Branded - Your app name, company name
- Category - Generic terms (e.g., "todo app", "weather")
- Feature - Specific functionality (e.g., "offline maps")
- Problem - User pain points (e.g., "forget tasks")
- Long-tail - Specific phrases (e.g., "minimalist habit tracker")
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.
- 10d ago First seen · 367 lines · 48 tokens per session scan A 13b493d44c36
keyword-optimizer is a skill published in the GitHub repository rshankras/claude-code-apple-skills (710 stars, last pushed 1mo ago), licensed MIT. It adds 48 tokens to every session and 2,317 once invoked, about $0.0002 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 2026-08-30.
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