claude-tap is a local proxy and trace viewer for AI coding agents, recording and displaying their API requests, prompts, tool calls, responses, context, and token usage. It helps developers inspect and compare agent runs from tools such as Claude Code, Codex CLI, Gemini CLI, Cursor CLI, and others, while the catalogue skills and instruction support work with the project.
Borrowing it
Nothing to install: this file belongs to liaohch3/claude-tap. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/liaohch3/claude-tap/main/.agents/skills/translate-i18n/SKILL.mdgit clone --depth 1 https://github.com/liaohch3/claude-tapWrote 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/liaohch3/claude-tap/translate-i18n)<a href="https://agentmods.dev/skills/liaohch3/claude-tap/translate-i18n"><img src="https://agentmods.dev/badge/skills/liaohch3/claude-tap/translate-i18n/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/liaohch3/claude-tap/translate-i18n"><img src="https://agentmods.dev/badge/skills/liaohch3/claude-tap/translate-i18n.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00060 | $0.00675 |
| Opus 5 | $0.00030 | $0.00338 |
| Sonnet 5 | $0.00012 | $0.00135 |
| Haiku 4.5 | $0.00006 | $0.00068 |
Grade A, and why
translate-i18n 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 11d 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Translate i18n
Automatically fill missing translations for the viewer's claude_tap/viewer_i18n.json source file. The script uses English and Chinese as source languages and translates to Japanese, Korean, French, Arabic, German, and Russian.
Prerequisites
OPENROUTER_API_KEYmust be set in the environment (it is in the user's.zshrc)- Default model:
google/gemini-2.5-flash
Workflow
1. Check what's missing (dry run)
Always preview first to confirm which keys need translation:
uv run python scripts/translate_i18n.py --dry-run
This parses claude_tap/viewer_i18n.json, finds keys present in both en and zh-CN but missing in other languages, and lists them without modifying the file.
2. Run the translation
uv run python scripts/translate_i18n.py
The script calls OpenRouter once per target language, then writes the translations back into viewer_i18n.json in-place.
3. Verify the result
After translation, run the formatter and tests to make sure nothing broke:
uv run python -m json.tool claude_tap/viewer_i18n.json >/dev/null
uv run pytest tests/test_translate_i18n.py -v
Options
| Flag | Purpose |
|---|---|
--dry-run |
Show missing keys only, no file changes |
--model MODEL |
Override the OpenRouter model (default: google/gemini-2.5-flash) |
--target {viewer,cli} |
Translation target preset (default: viewer) |
--file PATH |
Override target file path |
--object-name NAME |
Override the legacy JS/Python i18n object name |
How it works
The script:
- Loads the viewer i18n JSON source file
- Validates that every language block is a string-to-string map
- Identifies keys present in
en+zh-CNbut missing in target languages - Sends a structured prompt to OpenRouter with existing translations for consistency
- Normalizes fullwidth punctuation for CJK languages (matching zh-CN style)
- Inserts new entries after the existing keys in each target language
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.
- 11d ago First seen · 70 lines · 60 tokens per session scan A 0fbece0947fd
translate-i18n is a skill published in the GitHub repository liaohch3/claude-tap (3,189 stars, last pushed 16d ago), licensed MIT. It adds 60 tokens to every session and 675 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 2026-08-30.
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prompt-optimization
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recipe-eval-prompt
Compares original and optimized prompts through repeated blind paired execution in git worktrees. Use when evaluating prompt improvement effects or learning prompt engineering through concrete examples.
knowledge-base
Retrieves and updates project-specific prompt knowledge from comparison evidence and user feedback. Use only for prompt analysis or post-comparison learning within a Rashomon evaluation.
interview-me
Deep-dive spec interviewer. Reads a file, GitHub issue, or requirement, analyzes it against the codebase, then conducts a rigorous 1-on-1 interview using AskUserQuestion to produce a comprehensive, opinionated specification document. Acts as a collaborative architect with active pushback. Also runs --verify to detect…
worktree-execution
Creates, pins, and cleans isolated Git worktree pairs for comparison trials. Use only when a Rashomon prompt or skill evaluation needs paired execution environments or orphan recovery.