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 sd0xdev/sd0x-harness --skill zh-twgit clone --depth 1 https://github.com/sd0xdev/sd0x-harnessWrote 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/sd0xdev/sd0x-harness/zh-tw)<a href="https://agentmods.dev/skills/sd0xdev/sd0x-harness/zh-tw"><img src="https://agentmods.dev/badge/skills/sd0xdev/sd0x-harness/zh-tw/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/sd0xdev/sd0x-harness/zh-tw"><img src="https://agentmods.dev/badge/skills/sd0xdev/sd0x-harness/zh-tw.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 | $0.00011 | $0.00275 |
| Opus 5.5 | $0.00004 | $0.00110 |
| Sonnet 5.5 | $0.00002 | $0.00055 |
| Haiku 4.5 | $0.00001 | $0.00028 |
Grade A, and why
zh-tw 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.
What it actually says
繁體中文翻譯
Trigger
- Keywords: 翻譯, zh-tw, 繁體中文, traditional chinese, rewrite in chinese
When NOT to Use
- Translating code comments only (do inline)
- Translating to other languages (not zh-TW)
Task
Rewrite English or Simplified Chinese content from the conversation into Traditional Chinese.
Arguments
$ARGUMENTS
Target Selection
| Parameter | Translation Target |
|---|---|
| No parameter | Previous reply |
| Has description (e.g. "the report above") | Content in conversation matching description |
Requirements
| Item | Description |
|---|---|
| Language | Traditional Chinese (Taiwan usage) |
| Terms | Keep technical terms, code, and filenames in original language |
| Format | Preserve original markdown format (tables, code blocks, lists, etc) |
| Content | Full rewrite, do not omit any part |
Conversion Rules
- Simplified Chinese -> Traditional Chinese (vocabulary conversion, not just font)
- English descriptions -> Traditional Chinese
- Maintain technical term consistency
Execution
Output the fully rewritten content directly, no additional explanation needed.
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 · 52 lines · 11 tokens per session scan A 453e42b87d16
zh-tw is a skill published in the GitHub repository sd0xdev/sd0x-harness (194 stars, last pushed 17d ago), licensed MIT. It adds 11 tokens to every session and 275 once invoked, about $0.0000 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.
Other skills, from other repositories
comet-bilingual-docs
A workflow for keeping Comet documentation in Chinese and English aligned across READMEs, skills, release notes, and website pages. It preserves confirmed wording, repository structure, examples, commands, links, and configuration names.
building
Use when writing production code test-first: the RED-GREEN-REFACTOR cycle, false-RED detection, vertical slicing, scope escalation, test process discipline, and code generation patterns.
diff-driven-docs
Use when a BUILD phase completes, a commit is staged, or a PR is about to be created, and the diff has not yet been reflected in documentation. Also use when the user says "update docs", "sync docs", "document this", or asks whether documentation is up to date.
exploration
Two-mode exploration skill: (1) design dialogue — turn rough ideas into validated designs through collaborative interview before planning; (2) spike — throwaway code answering ONE design question, deleted or absorbed, never shipped. Router invokes mode via dispatch context.
memory-and-handoff
Two-mode skill: (1) session memory — load/persist durable workflow state under .cc10x/ (activeContext, patterns, progress) so context survives compaction; (2) handoff package — portable, secrets-redacted export for a coworker, different tool, or fresh non-cc10x session.
agent-common
Use when a cc10x agent starts a task: the shared preamble for the memory protocol, the contract format, and the output rules.