What is tablepack AGENTS.md?

Repository instructions for TablePack, a tool that turns tables in PDF files into Excel packages using MinerU, a document-processing tool. They define setup options, required checks, file locations, and when visual review is needed.

Use them when converting PDF tables to Excel, installing or locating MinerU, repairing sheets, or checking the visual accuracy of the generated package.

They prevent operators from skipping MinerU setup or claiming a visual quality check that was not actually performed. They also clarify how to find input files, outputs, caches, and the MinerU executable.

How kujiangmudao/tablepack configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to kujiangmudao/tablepack. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/kujiangmudao/tablepack/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/kujiangmudao/tablepack

Made for: Codex, OpenCode.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/kujiangmudao/tablepack/agents-md/github.svg)](https://agentmods.dev/instructions/kujiangmudao/tablepack/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/kujiangmudao/tablepack/agents-md"><img src="https://agentmods.dev/badge/instructions/kujiangmudao/tablepack/agents-md/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/kujiangmudao/tablepack/agents-md"><img src="https://agentmods.dev/badge/instructions/kujiangmudao/tablepack/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 1,238 This file is loaded in full into every session.

When invoked 1,238 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.01238	$0.01238
Opus 5.5	$0.00495	$0.00495
Sonnet 5.5	$0.00248	$0.00248
Haiku 4.5	$0.00124	$0.00124

Measured 25d ago against content hash d87d7b58266f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

tablepack AGENTS.md 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 25d 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.

AGENTS.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TablePack (pdf-excel) — Agent / operator rules (must follow)

Product name: TablePack. Turns PDF tables → Excel packages using MinerU.
When the user asks to convert PDFs, always follow this file + skills/pdf-table-to-excel/SKILL.md.

Two user paths

User	What to do
Already has MinerU	Use this repo + skill; ensure `mineru` on PATH or `config.yaml` → `mineru_bin`
No MinerU yet	Run `scripts/install_mineru.ps1` (Windows) or `scripts/install_mineru.sh` (Unix), activate `.venv-mineru`, then same skill/CLI. See `docs/INSTALL.md`

Multimodal requirement

Auto pipeline (python -m pdf_excel): text/CLI is enough.
Quality control / sheet repair: requires a vision-capable model that can open 原始表格/ screenshots (or PDF pages).
Text-only models: may run packaging, but must not claim visual QC was done.

Optional LLM smart layer (headers)

--smart / smart_enabled: true (plus llm_base_url, llm_model, env PDF_EXCEL_LLM_API_KEY): normalizes merged / multi-level headers into one flat header row via any OpenAI-compatible model.
Additive and off by default; any failure falls back to the raw grid. It does not replace visual QC — still check 原始表格/ screenshots.

Environment

Resolve paths via (in order): CLI flags → env vars → config.yaml → defaults.

Item	Default / note
Source PDFs	`pdf/`
Output packages	`output/`
MinerU cache	`work/mineru_raw/`
MinerU CLI	`MINERU_BIN` or `config.yaml` → `mineru_bin` (auto-discover if on PATH)
Backend	`pipeline` by default; tables on (`-t true`); language `ch` unless configured
Code entry	`python -m pdf_excel` or `convert_pipeline.py`

Local machine tip: Path B writes config.yaml; or copy config.example.yaml (gitignored).

Hard requirements (never skip)

MinerU is the primary parser (helpers OK for repair only).
One PDF → one Excel, same basename.
All tables of one PDF in one workbook as different sheets.
Package structure:

Read the full file on GitHub · 93 lines

Changes

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.

25d ago Changed · +7 lines · +165 tokens per session d87d7b58266f
1mo ago Changed · +2 lines · +47 tokens per session 66557b833351
2mo ago First seen · 84 lines · 1,026 tokens per session scan A 30fd9a1311a3

Subscribe to this mod's changes

tablepack AGENTS.md is an instructions file published in the GitHub repository kujiangmudao/tablepack (6 stars, last pushed 23d ago), licensed MIT. It adds 1,238 tokens to every session, about $0.0050 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 2026-08-31.

Documents PDF Spreadsheets agent-skill document-ai excel mineru ocr opencode

tablepack AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
tablepack AGENTS.mdkujiangmudao/tablepack	Instructions file	6	23d ago	MIT	A	1,238	Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	yesterday	MIT	A	7,461	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	5,649	GitHub Copilot
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	today	MIT	A	4,680	Codex, OpenCode
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	3,093	GitHub Copilot
vscode ai-customization.instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	1,907	GitHub Copilot

tablepack: Instructions file for Codex