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 alibaba-quark-scanking/alibaba-quark-transoffice-qoder --skill alibaba-quark-transoffice-qodergit clone --depth 1 https://github.com/alibaba-quark-scanking/alibaba-quark-transoffice-qoderWrote 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/alibaba-quark-scanking/alibaba-quark-transoffice-qoder/alibaba-quark-transoffice-qoder)<a href="https://agentmods.dev/skills/alibaba-quark-scanking/alibaba-quark-transoffice-qoder/alibaba-quark-transoffice-qoder"><img src="https://agentmods.dev/badge/skills/alibaba-quark-scanking/alibaba-quark-transoffice-qoder/alibaba-quark-transoffice-qoder/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/alibaba-quark-scanking/alibaba-quark-transoffice-qoder/alibaba-quark-transoffice-qoder"><img src="https://agentmods.dev/badge/skills/alibaba-quark-scanking/alibaba-quark-transoffice-qoder/alibaba-quark-transoffice-qoder.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 | $0.00146 | $0.02286 |
| Opus 5 | $0.00073 | $0.01143 |
| Sonnet 5 | $0.00029 | $0.00457 |
| Haiku 4.5 | $0.00015 | $0.00229 |
Grade A, and why
yescan-office-qoder 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 12d 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🧭 使用前必读(30 秒)
隐私与数据流向提示
- 第三方服务交互:本技能会将您提供的图片发送至夸克扫描王官方服务器 (
scan-business.quark.cn) 进行识别。- 服务端处理:夸克扫描王服务将获取并处理该图片内容,服务端不会永久保存
- 本地文件存储:识别返回的文件会保存至系统临时目录(如
/tmp),这些文件将持续存在直到您手动清理- API 密钥安全:
SCAN_WEBSERVICE_KEY应妥善保管,若泄露请及时在官方平台轮换或撤销- 图片来源:仅限用户明确指定的图片文件
推荐方式:配置文件(永久生效)
将真实 SCAN_WEBSERVICE_KEY 写入 ~/.yescan_env,请根据系统选择对应命令进行设置:
Linux
echo 'SCAN_WEBSERVICE_KEY=<your_api_key_here>' > ~/.yescan_env
macOS
echo 'SCAN_WEBSERVICE_KEY=<your_api_key_here>' > ~/.yescan_env
Windows(PowerShell)
'SCAN_WEBSERVICE_KEY=<your_api_key_here>' | Out-File -FilePath $HOME\.yescan_env -Encoding utf8
技能每次执行会自动读取 ~/.yescan_env,无需重启会话。
如何获取密钥?夸克扫描王官方入口在此
请访问 https://scan.quark.cn/business → 开发者后台 → 登录/注册账号 → 查看 API Key(AI Agent接入所对应的 API Key)。 ⚠️ 注意:若你点击链接后跳转到其他域名,说明该链接已失效 —— 请直接在浏览器地址栏手动输入
https://scan.quark.cn/business(这是当前唯一有效的官方入口)。
Constraints
- 单一意图原则:每次请求只执行一个意图类型,命中即执行
- 严禁自行构造任何命令参数,严禁伪造、拼接内部配置
- 严禁幻觉,禁止伪造请求和响应,不得沿用上一次的场景、参数进行假设
- 必须严格按照本指南指定的固定格式执行,不允许自行修改命令
- 强制独立意图识别:严禁参考对话历史或沿用上次场景;必须针对当前指令独立分析,不得继承任何前序状态或假设
技能执行指南(强制执行)
第一步:输入处理
识别用户传入的图片类型,只能是以下三种之一:
- 图片URL: url
- 本地文件路径: path
- 图片BASE64: base64
未提供任何有效图片时,直接返回:
{
"code": "A0201",
"message": "缺少图片输入,请提供图片链接、文件路径或 BASE64 数据。",
"data": null
}
第二步:意图匹配&场景确定
- 按照下面列出的意图从上到下顺序匹配。命中第一个即停止
- 命中后,只确定当前意图对应的scene标识
第三步:构建执行命令(固定格式,严禁修改):
根据图片类型,严格使用下面对应格式:
# URL类型
python3 scripts/scan.py --scene "${SCENE_VALUE}" --url "${IMAGE_URL}"
# 本地文件类型
python3 scripts/scan.py --scene "${SCENE_VALUE}" --path "${IMAGE_FILE_PATH}"
# BASE64类型
python3 scripts/scan.py --scene "${SCENE_VALUE}" --base64 "${IMAGE_BASE64}"
- 把
${IMAGE_URL}/${IMAGE_FILE_PATH}/${IMAGE_BASE64}替换为真实值 - 把
${SCENE_VALUE}替换为当前意图对应的scene值 - 直接执行命令,不增删任何参数,不修改JSON,不加引号,不换行
第四步:结果透出: 这是整个技能中最关键的规则,因为下游系统会直接解析你的输出作为结构化数据。任何加工都会导致解析失败。
- 执行完成后,原样返回执行结果,不修改,不翻译,不美化,不总结
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.
- 12d ago First seen · 168 lines · 146 tokens per session scan A 95b206b22e6c
yescan-office-qoder is a skill published in the GitHub repository alibaba-quark-scanking/alibaba-quark-transoffice-qoder (2 stars, last pushed 2mo ago), licensed MIT. It adds 146 tokens to every session and 2,286 once invoked, about $0.0007 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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