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 pyxll/pyxll-agent-skills --skill fetch-pyxll-docsgit clone --depth 1 https://github.com/pyxll/pyxll-agent-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/pyxll/pyxll-agent-skills/fetch-pyxll-docs)<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.
<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>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 | $0.00080 | $0.00814 |
| Opus 5 | $0.00040 | $0.00407 |
| Sonnet 5 | $0.00016 | $0.00163 |
| Haiku 4.5 | $0.00008 | $0.00081 |
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.
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 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
-
Fetch the documentation index to find relevant pages:
curl -s https://www.pyxll.com/llms.txtRead 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.
-
Fetch the individual pages relevant to the task directly by their URL:
curl -s <page-url> -
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.shrelative 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.
-
If the task involves writing or modifying code that uses the Excel COM API — any code that calls
pyxll.xl_app()orXLCell.to_range(), or that accesses COM objects such asRange,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 thanProperty(args)as in VBA.
- Invoke the pywin32-excel-docs skill before writing any code. Its
-
If the task involves writing or modifying a ribbon or context menu XML file (customUI XML,
ribbon =inpyxll.cfg, or anyonAction/getLabel/getEnabledribbon 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.
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 · 72 lines · 80 tokens per session scan A c37348b27261
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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