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 zai-org/GLM-skills --skill glmocr-tablegit clone --depth 1 https://github.com/zai-org/GLM-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/zai-org/glm-skills/glmocr-table)<a href="https://agentmods.dev/skills/zai-org/glm-skills/glmocr-table"><img src="https://agentmods.dev/badge/skills/zai-org/glm-skills/glmocr-table.svg" alt="Measured on agentmods" 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 | $0.00062 | $0.01853 |
| Opus 5 | $0.00031 | $0.00927 |
| Sonnet 5 | $0.00012 | $0.00371 |
| Haiku 4.5 | $0.00006 | $0.00185 |
Grade A, and why
glmocr-table 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 8d 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 — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GLM-OCR Table Recognition Skill / GLM-OCR 表格识别技能
Extract tables from images and PDFs and convert them to Markdown format using the ZhiPu GLM-OCR layout parsing API.
When to Use / 使用场景
- Extract tables from images or scanned documents / 从图片或扫描件中提取表格
- Convert table images to Markdown or Excel format / 将表格图片转为 Markdown 或可编辑格式
- Recognize complex tables with merged cells / 识别含合并单元格的复杂表格
- Parse financial statements, invoices, reports with tables / 解析财务报表、发票、带表格的报告
- User mentions "extract table", "recognize table", "表格识别", "提取表格", "表格OCR", "表格转文字"
Key Features / 核心特性
- Complex table support: Handles merged cells, nested tables, multi-row headers
- Markdown output: Tables are output in clean Markdown format, easy to edit and convert
- Multi-page PDF: Supports batch extraction from multi-page PDF documents
- Local file & URL: Supports both local files and remote URLs
Resource Links / 资源链接
| Resource | Link |
|---|---|
| Get API Key | 智谱开放平台 API Keys |
| API Docs | Layout Parsing / 版面解析 |
Prerequisites / 前置条件
API Key Setup / API Key 配置（Required / 必需）
脚本通过 ZHIPU_API_KEY 环境变量获取密钥，可与其他智谱技能复用同一个 key。
This script reads the key from the ZHIPU_API_KEY environment variable. Reusing the same key across Zhipu skills is optional.
Get Key / 获取 Key： Visit 智谱开放平台 API Keys to create or copy your key.
Setup options / 配置方式（任选一种）：
-
Global config (recommended) / 全局配置（推荐）： Set once in
openclaw.jsonunderenv.vars, all Zhipu skills will share it:{ "env": { "vars": { "ZHIPU_API_KEY": "你的密钥" } } }
What ships with it
1 file 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.
- 8d ago First seen · 195 lines · 62 tokens per session scan A b9456cfa8b41
glmocr-table is a skill published in the GitHub repository zai-org/GLM-skills (474 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 62 tokens to every session and 1,853 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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