fetch-pyxll-docs

fetch-pyxll-docs is a skill for Claude Code from pyxll/pyxll-agent-skills. It costs 80 tokens per session (814 once invoked), scanned A, original, Apache-2.0.

A documentation lookup procedure for PyXLL, a tool for connecting Python with Microsoft Excel. It retrieves the live PyXLL documentation before work involving PyXLL.

In plain words
What is it for?
Finding relevant PyXLL documentation pages and using them as context for PyXLL code, release notes, changelogs, and version-history questions.
Why use it?
It avoids relying on incomplete or outdated built-in knowledge when writing, editing, reviewing, debugging, or checking PyXLL history.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Part of the pyxll-agent-skills plugin — 3 skills shipped together

Good fit Finding relevant PyXLL documentation pages and using them as context for PyXLL code, release notes, changelogs, and version-history questions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pyxll/pyxll-agent-skills/fetch-pyxll-docs
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 pyxll/pyxll-agent-skills --skill fetch-pyxll-docs
Clone the repo
git clone --depth 1 https://github.com/pyxll/pyxll-agent-skills

Made for: Claude Code.

Or install pyxll-agent-skills, the plugin that ships this one along with the rest of its 3 skills.

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 fetch-pyxll-docs

README.md
[![agentmods](https://agentmods.dev/badge/skills/pyxll/pyxll-agent-skills/fetch-pyxll-docs/github.svg)](https://agentmods.dev/skills/pyxll/pyxll-agent-skills/fetch-pyxll-docs)
Your own site
<a href="https://agentmods.dev/skills/pyxll/pyxll-agent-skills/fetch-pyxll-docs"><img src="https://agentmods.dev/badge/skills/pyxll/pyxll-agent-skills/fetch-pyxll-docs/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 fetch-pyxll-docs

Your own site · 80×15
<a href="https://agentmods.dev/skills/pyxll/pyxll-agent-skills/fetch-pyxll-docs"><img src="https://agentmods.dev/badge/skills/pyxll/pyxll-agent-skills/fetch-pyxll-docs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 814 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00080 $0.00814
Opus 5 $0.00040 $0.00407
Sonnet 5 $0.00016 $0.00163
Haiku 4.5 $0.00008 $0.00081

Measured 8d ago against content hash c37348b27261, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

fetch-pyxll-docs scanned grade A with 1 finding 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/search-pyxll-docs.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s https://www.pyxll.com/llms.txt
skills/fetch-pyxll-docs/SKILL.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Fetch the PyXLL documentation and use it as context for any PyXLL task. Training-data knowledge of PyXLL is incomplete and may be wrong — the live docs are the only authoritative source.

Steps

  1. Fetch the documentation index to find relevant pages:

    curl -s https://www.pyxll.com/llms.txt
    

    Read the entire output without truncating — the index contains a navigation guide mapping common tasks to sections, followed by page titles, descriptions, and URLs grouped by topic.

  2. Fetch the individual pages relevant to the task directly by their URL:

    curl -s <page-url>
    
  3. If the index does not surface what you need, use the search script to find pages by keyword.

    The search script is located at scripts/search-pyxll-docs.sh relative to this skill's base directory.

    <SKILL_BASE_DIR>/scripts/search-pyxll-docs.sh <keyword> [keyword2 ...]
    

    Important: Replace <SKILL_BASE_DIR> with the actual base directory path provided when this skill is loaded.

    The script outputs a list of matching page URLs (one per line). Fetch each returned URL individually using curl.

  4. If the task involves writing or modifying code that uses the Excel COM API — any code that calls pyxll.xl_app() or XLCell.to_range(), or that accesses COM objects such as Range, Worksheet, Workbook, Font, Interior, Borders, etc.:

    • Invoke the pywin32-excel-docs skill before writing any code. Its resources/ directory is the authoritative reference for all Excel COM classes — do not rely on training data for COM API details.
    • Fetch https://www.pyxll.com/docs/userguide/vba.md and read it in full — it documents critical differences between VBA and Python, including how COM properties that take arguments must be called as Get<PropertyName>(args) rather than Property(args) as in VBA.
  5. If the task involves writing or modifying a ribbon or context menu XML file (customUI XML, ribbon = in pyxll.cfg, or any onAction/getLabel/getEnabled ribbon callback):

    • Invoke the office-customui-xsd skill before writing any XML. It is the authoritative reference for which elements, attributes, and nesting are valid — training-data knowledge of the schema is incomplete and produces invalid XML.

Read the full file on GitHub · 72 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. 8d ago First seen · 72 lines · 80 tokens per session scan A c37348b27261

Subscribe to this mod's changes

fetch-pyxll-docs is a skill published in the GitHub repository pyxll/pyxll-agent-skills (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 80 tokens to every session and 814 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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