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 iflytek/iFly-Skills --skill iflytek-translategit clone --depth 1 https://github.com/iflytek/iFly-SkillsWrote 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/iflytek/ifly-skills/iflytek-translate)<a href="https://agentmods.dev/skills/iflytek/ifly-skills/iflytek-translate"><img src="https://agentmods.dev/badge/skills/iflytek/ifly-skills/iflytek-translate/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/iflytek/ifly-skills/iflytek-translate"><img src="https://agentmods.dev/badge/skills/iflytek/ifly-skills/iflytek-translate.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 | $0.00065 | $0.02387 |
| Opus 5.5 | $0.00026 | $0.00955 |
| Sonnet 5.5 | $0.00013 | $0.00477 |
| Haiku 4.5 | $0.00006 | $0.00239 |
Grade A, and why
iflytek-translate scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **No pip deps**: Uses only Python stdlib (`urllib`, `hmac`, `hashlib`, `json`, etc.) How it starts
The opening of the file, as written. The whole thing — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ifly-translate
Translate text using iFlytek's Machine Translation API (机器翻译). Supports 70+ language pairs.
Setup
- Create an app at 讯飞控制台 with 机器翻译 service enabled
- Set environment variables:
export IFLY_APP_ID="your_app_id" export IFLY_API_KEY="your_api_key" export IFLY_API_SECRET="your_api_secret"
兼容说明：设置任意
IFLY_*凭证变量（包括空值）后，仅使用该组，缺项报错；未设置标准组时，依次尝试XFYUN_*、XFEI_*，不跨组拼接。旧前缀会在 stderr 输出一次不含凭证值的迁移提示。
Usage
Basic translation (Chinese → English by default)
python3 scripts/translate.py "你好世界"
Specify source and target language
python3 scripts/translate.py -s en -t cn "Hello world"
Read from stdin
echo "こんにちは" | python3 scripts/translate.py - -s ja -t cn
Read from file
python3 scripts/translate.py -f document.txt -s cn -t en
Options
| Flag | Short | Description |
|---|---|---|
text |
Text to translate (use - for stdin) |
|
--file |
-f |
Read text from a file |
--from |
-s |
Source language code (default: cn) |
--to |
-t |
Target language code (default: en) |
--verbose |
-v |
Show source/target language labels |
--raw |
Output raw JSON response |
Common language codes
| Code | Language | Code | Language |
|---|---|---|---|
cn |
中文 | en |
English |
ja |
日语 | ko |
韩语 |
fr |
法语 | de |
德语 |
es |
西班牙语 | ru |
俄语 |
ar |
阿拉伯语 | th |
泰语 |
vi |
越南语 | pt |
葡萄牙语 |
it |
意大利语 | tr |
土耳其语 |
Aliases are supported: zh→cn, chinese→cn, english→en, japanese→ja, etc.
Full language list: https://www.xfyun.cn/doc/nlp/xftrans/API.html
Examples
# Chinese to English
python3 scripts/translate.py "人工智能改变世界"
# English to Chinese
python3 scripts/translate.py -s en -t cn "Artificial intelligence changes the world"
# Japanese to Chinese
python3 scripts/translate.py -s ja -t cn "おはようございます"
# Verbose output with language labels
python3 scripts/translate.py -v "你好"
# Raw JSON for debugging
python3 scripts/translate.py --raw "测试翻译"
What ships with it
3 files 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.
- 1mo ago Changed · +2 lines f2083f066e77
- 1mo ago First seen · 242 lines · 65 tokens per session scan A 0d5b4e1d85c8
iflytek-translate is a skill published in the GitHub repository iflytek/iFly-Skills (212 stars, last pushed 5d ago), licensed Apache-2.0. It adds 65 tokens to every session and 2,387 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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