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 agentmods add skills/spinningrachel/career-engine/localizationnpx skills add spinningrachel/career-engine --skill localizationgit clone --depth 1 https://github.com/spinningrachel/career-engineWrote 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/spinningrachel/career-engine/localization)<a href="https://agentmods.dev/skills/spinningrachel/career-engine/localization"><img src="https://agentmods.dev/badge/skills/spinningrachel/career-engine/localization.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 | $0.00090 | $0.06008 |
| Opus 5 | $0.00045 | $0.03004 |
| Sonnet 5 | $0.00018 | $0.01202 |
| Haiku 4.5 | $0.00009 | $0.00601 |
Grade A, and why
localization scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 264 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Localization Skill
Registry: this pipeline is listed in the Pipeline Registry in
skills/career-engine/SKILL.md. Actions owned by another pipeline's registry row are out of scope here — route to that pipeline instead of improvising.
career-datadata root (R-37). The personal-data files —01-writing-rules.md,02-professional-background.md,03-framework.md,linkedin-profile.md,pipeline-preferences.json,delivered-letters/, and the user's.dotx— load from${CAREER_DATA}/references/, the path the orchestrator resolves in itscareer-datadiscovery preflight. Every other file (self-checks,REFERENCES.md, skill docs, default.dotxtemplates) stays on${CLAUDE_PLUGIN_ROOT}. If${CAREER_DATA}is not set (direct or standalone invocation outside the orchestrator), locate thecareer-dataskill yourself, confirmcareer-data-marker.json, and apply the orchestrator's healthy / damaged / absent outcomes before reading. A configured user's missingcareer-datais a hard stop — never silently fall back to blank templates.
Opening
What this skill governs
This skill defines how to localize a CV and cover letter from {{USER_DEFAULT_LANGUAGE}} into {{USER_SECOND_LANGUAGE}}. It is a reference, not a procedure — the procedure lives in agents/localization.md. Consult this skill for:
- Which terms to keep in the source language vs. render in the target language
- How to transliterate loanwords
- Seniority titles and gender agreement
- Date formats and section heading mappings
- Cultural and tonal register guidance
The hybrid register principle
The target reader operates in a hybrid professional register. They do not translate acronyms and SaaS-native English terms — those terms travel untouched into their native language because they are the lingua franca of global tech. Forcing a pure-language rendering of GTM, ARR, or ICP sounds like a government press release from a previous decade.
At the same time, leaving borrowed terms in English when a natural phonetic or native form exists signals the writer was uncertain how to express the concept in the target language — even if the word is technically intelligible.
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.
- 5d ago First seen · 264 lines · 90 tokens per session scan A 5646584d65ee
localization is a skill published in the GitHub repository spinningrachel/career-engine (4 stars, last pushed 23d ago), licensed MIT. It adds 90 tokens to every session and 6,008 once invoked, about $0.0005 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 2026-08-31.
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