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 xyva-yuangui/XyvaClaw --skill document-qagit clone --depth 1 https://github.com/xyva-yuangui/XyvaClawWrote 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/xyva-yuangui/xyvaclaw/document-qa)<a href="https://agentmods.dev/skills/xyva-yuangui/xyvaclaw/document-qa"><img src="https://agentmods.dev/badge/skills/xyva-yuangui/xyvaclaw/document-qa/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/xyva-yuangui/xyvaclaw/document-qa"><img src="https://agentmods.dev/badge/skills/xyva-yuangui/xyvaclaw/document-qa.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 | $0.00053 | $0.00348 |
| Opus 5 | $0.00026 | $0.00174 |
| Sonnet 5 | $0.00011 | $0.00070 |
| Haiku 4.5 | $0.00005 | $0.00035 |
Grade A, and why
document-qa 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.
What it actually says
Document QA — 文档问答
触发场景: 快速从合同/报告/文档中找答案，问"这份合同违约金多少"、"Q3销售目标是什么"。
用法
# 问单个文件
python3 {baseDir}/scripts/doc_qa.py ask --file contract.pdf "违约金条款是什么？"
# 问整个目录（会搜索所有文档）
python3 {baseDir}/scripts/doc_qa.py ask --dir ./docs "公司的退货政策是什么？"
# 扩大检索块数
python3 {baseDir}/scripts/doc_qa.py ask --file report.pdf --top-k 8 "Q3 销售目标完成情况"
# 健康检查
python3 {baseDir}/scripts/doc_qa.py --check
支持格式
.pdf .docx .doc .txt .md .csv .xlsx
注意
- 首次使用大文档（>50页）需要约 10-60 秒提取时间
- 问答历史自动保存至
~/.openclaw/output/doc_qa/qa_history.jsonl
What ships with it
2 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.
- 11d ago First seen · 38 lines · 53 tokens per session scan A 9a12672c8aa3
document-qa is a skill published in the GitHub repository xyva-yuangui/XyvaClaw (21 stars, last pushed 1mo ago), licensed MIT. It adds 53 tokens to every session and 348 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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