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 JordanCoin/ios-skills-collection --skill dpearson2699-natural-languagegit clone --depth 1 https://github.com/JordanCoin/ios-skills-collectionWrote 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/jordancoin/ios-skills-collection/dpearson2699-natural-language)<a href="https://agentmods.dev/skills/jordancoin/ios-skills-collection/dpearson2699-natural-language"><img src="https://agentmods.dev/badge/skills/jordancoin/ios-skills-collection/dpearson2699-natural-language/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/jordancoin/ios-skills-collection/dpearson2699-natural-language"><img src="https://agentmods.dev/badge/skills/jordancoin/ios-skills-collection/dpearson2699-natural-language.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 | $0.00063 | $0.03020 |
| Opus 5 | $0.00032 | $0.01510 |
| Sonnet 5 | $0.00013 | $0.00604 |
| Haiku 4.5 | $0.00006 | $0.00302 |
Grade A, and why
natural-language 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 9d 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 9d ago First seen · 413 lines · 63 tokens per session scan A 6f28f5103e9b
natural-language is a skill published in the GitHub repository JordanCoin/ios-skills-collection (5 stars, last pushed 2d ago), with no licence file. It adds 63 tokens to every session and 3,020 once invoked, about $0.0003 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.
Other skills, from other repositories
natural-language
On-device text intelligence for an iOS fintech app with Apple's NaturalLanguage + Translation frameworks — language ID (NLLanguageRecognizer, languageHints/constraints), tokenization (NLTokenizer word/sentence), linguistic tagging (NLTagger with .lexicalClass/.nameType/.lemma, enumerateTags, tagHypotheses…
natural-language
Tokenize, tag, and analyze natural language text using Apple's NaturalLanguage framework and translate between languages with the Translation framework. Use when adding language identification, sentiment analysis, named entity recognition, part-of-speech tagging, text embeddings, or in-app translation to…
localization
Route Apple-platform localization tasks to the correct Knowledge Contracts -- String Catalog (.xcstrings) mechanics, compiler-driven extraction and the string-literal requirement it depends on, translator comments, the New/Needs Review/Translated/Stale states, explicit keys vs. value-as-key, and manually-managed…
asc-whats-new-writer
Generate engaging, localized App Store release notes (What's New) from git log, bullet points, or free text using canonical metadata under ./metadata. Optionally pairs with promotional text updates.
xcode-build-fixer
Apply approved Xcode build optimization changes following best practices, then re-benchmark to verify improvement. Use when a developer has an approved optimization plan from xcode-build-orchestrator, wants to apply specific build fixes, needs help implementing build setting changes, script phase guards, source-level…
xcode-build-orchestrator
Orchestrate Xcode build optimization by benchmarking first, running the specialist analysis skills, prioritizing findings, requesting explicit approval, delegating approved fixes to xcode-build-fixer, and re-benchmarking after changes. Use when a developer wants an end-to-end build optimization workflow, asks to speed…