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 cenconq25/claude-code-app-studio --skill localizegit clone --depth 1 https://github.com/cenconq25/claude-code-app-studioWrote 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/cenconq25/claude-code-app-studio/localize)<a href="https://agentmods.dev/skills/cenconq25/claude-code-app-studio/localize"><img src="https://agentmods.dev/badge/skills/cenconq25/claude-code-app-studio/localize/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/cenconq25/claude-code-app-studio/localize"><img src="https://agentmods.dev/badge/skills/cenconq25/claude-code-app-studio/localize.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 | $0.00040 | $0.02135 |
| Opus 5.5 | $0.00016 | $0.00854 |
| Sonnet 5.5 | $0.00008 | $0.00427 |
| Haiku 4.5 | $0.00004 | $0.00214 |
Grade A, and why
localize 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 — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Localize
Localization is treated as a recurring pipeline, not a one-time chore. This skill has five modes, each runnable independently. Together they take an app from "English-only with hardcoded strings" through to "fully translated, frozen for release, and verified on device".
Phase 1: Pick the Mode
Parse the argument:
--scan(default if omitted) — find hardcoded user-facing strings.--extract— move identified strings into the string table.--validate— verify completeness and quality of existing translations.--freeze— enforce the string-freeze policy ahead of release.--report— generate a coverage report.
Read project context:
.claude/docs/technical-preferences.md— framework, target locales.- Existing string tables — locations vary by stack:
- RN:
src/locales/[lang].json(typical fori18next,react-intl,expo-localization). - Flutter:
lib/l10n/intl_[lang].arb,app_localizations.dart. - iOS native:
*.lproj/Localizable.strings,Localizable.stringsdict. - Android native:
res/values-[lang]/strings.xml.
- RN:
If target locales are unset, prompt the user: which markets is the app launching in?
Phase 2: Scan Mode
Find every user-facing string that is not pulled from the table.
Per stack, the grep patterns are different:
- RN (i18next): match
>{[^{]*[A-Za-z][^}]*}<outsidet()calls. Also match raw string literals passed as<Text>children. - Flutter: match
Text('...')andText("...")outside of test files. - iOS Swift: match
Text("..."),Label("..."), plain string literals passed tosetTitle,setText. Cross-reference withNSLocalizedString. - Android Kotlin: match
Text("...")(Compose),setText("..."), hardcoded strings infindViewById. Cross-referencegetString(R.string.*)calls.
Filter false positives:
- Logging calls (
console.log,print,os_log,Log.d). - Test files (
tests/,__tests__,_test.dart,*Tests.swift). - Constants for keys, identifiers, URLs, deep-link routes.
- Developer-facing diagnostic messages.
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 · 269 lines · 40 tokens per session scan A 487b787b44f9
localize is a skill published in the GitHub repository cenconq25/claude-code-app-studio (42 stars, last pushed 5mo ago), licensed MIT. It adds 40 tokens to every session and 2,135 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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