html-to-markdown-extracting-tables

html-to-markdown-extracting-tables is a skill for Claude Code from xberg-io/html-to-markdown. It costs 36 tokens per session (848 once invoked), scanned A, original, MIT.

A guide for extracting tables from HTML into Markdown tables or structured rows and columns.

In plain words
What is it for?
It helps extract pricing tables, data grids, and specification tables, including their cell structure and rendered Markdown form.
Why use it?
It preserves tabular data in a form that people can read and programs can access exactly, rather than flattening it into ordinary text.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the html-to-markdown plugin — 6 skills, 3 commands, 1 MCP server shipped together

Good fit It helps extract pricing tables, data grids, and specification tables, including their cell structure and rendered Markdown form.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/xberg-io/html-to-markdown/html-to-markdown-extracting-tables
Install

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.

Any agent
npx skills add xberg-io/html-to-markdown --skill html-to-markdown-extracting-tables
Clone the repo
git clone --depth 1 https://github.com/xberg-io/html-to-markdown

Made for: Claude Code.

Or install html-to-markdown, the plugin that ships this one along with the rest of its 6 skills, 3 commands, 1 MCP server.

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.

agentmods badge for html-to-markdown-extracting-tables

README.md
[![agentmods](https://agentmods.dev/badge/skills/xberg-io/html-to-markdown/html-to-markdown-extracting-tables/github.svg)](https://agentmods.dev/skills/xberg-io/html-to-markdown/html-to-markdown-extracting-tables)
Your own site
<a href="https://agentmods.dev/skills/xberg-io/html-to-markdown/html-to-markdown-extracting-tables"><img src="https://agentmods.dev/badge/skills/xberg-io/html-to-markdown/html-to-markdown-extracting-tables/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.

agentmods 80×15 button for html-to-markdown-extracting-tables

Your own site · 80×15
<a href="https://agentmods.dev/skills/xberg-io/html-to-markdown/html-to-markdown-extracting-tables"><img src="https://agentmods.dev/badge/skills/xberg-io/html-to-markdown/html-to-markdown-extracting-tables.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 848 The whole file, excluding the scripts and references it only reads on demand.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00036 $0.00848
Opus 5.5 $0.00014 $0.00339
Sonnet 5.5 $0.00007 $0.00170
Haiku 4.5 $0.00004 $0.00085

Measured 4d ago against content hash c4f07815c7bd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

html-to-markdown-extracting-tables 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 4d 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.

plugin/.ai-rulez/skills/html-to-markdown-extracting-tables/SKILL.md · 101 lines

How it starts

The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Extracting tables

Use this when the user wants tabular data out of HTML — pricing tables, data grids, spec sheets. html-to-markdown parses <table> elements into two surfaces: inline GFM Markdown tables in the content stream, and a structured tables array when document structure extraction is enabled.

Two surfaces

# Inline GFM tables appear in the Markdown body
html-to-markdown input.html

# Structured table data appears under .tables in CLI JSON
html-to-markdown --json --include-structure input.html | jq '.tables'
  • Markdown tables in content — | col | col | blocks, good for LLM ingestion and human reading.
  • Structured tables array — each entry has a markdown field (pre-rendered) and a grid of structured cells (rows × cols). Use this when downstream code needs exact cell access.

Inline Markdown tables are rendered by default. Structured tables require --include-structure in the CLI, include_document_structure=True in Python, or includeDocumentStructure: true in Node.js.

Extraction-only

When you only care about tables (not the Markdown body):

html-to-markdown --json --include-structure --no-content input.html | jq '.tables'

Inspecting tables

# How many tables, and the row count of each
html-to-markdown --json --include-structure input.html \
  | jq '.tables | to_entries | map({index: .key, rows: .value.grid.rows, cols: .value.grid.cols})'

# Just the rendered markdown of the first table
html-to-markdown --json --include-structure input.html | jq -r '.tables[0].markdown'

Line breaks in cells

By default <br> inside a cell is converted to a space. Keep hard breaks:

html-to-markdown input.html --br-in-tables

Programmatic access

from html_to_markdown import convert, ConversionOptions

html = "<table><tr><th>A</th><th>B</th></tr><tr><td>1</td><td>2</td></tr></table>"
# result.tables is only populated when include_document_structure=True
result = convert(html, ConversionOptions(include_document_structure=True))
for table in result.tables:
    print(table.markdown)            # rendered GFM markdown
    print(table.grid.cells[0].content)  # first cell (grid is a TableGrid)

Read the full file on GitHub · 101 lines

Files

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.

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.

  1. 4d ago First seen · 101 lines · 36 tokens per session scan A c4f07815c7bd

Subscribe to this mod's changes

html-to-markdown-extracting-tables is a skill published in the GitHub repository xberg-io/html-to-markdown (881 stars, last pushed 4d ago), licensed MIT. It adds 36 tokens to every session and 848 once invoked, about $0.0001 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 2026-10-15.

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