guides

guides is a skill for Claude Code, Codex from khill1269/servalsheets-v2. It costs 18 tokens per session (4,328 once invoked), scanned A, a copy of guides, MIT.

A guide for using ServalSheets, an MCP server that provides tools for working with Google Sheets, Google's online spreadsheets. It explains how to send requests, read results, use spreadsheet resources, and handle safety annotations.

In plain words
What is it for?
It is for reading and changing spreadsheet data, resolving ranges, using formulas and templates, and following ServalSheets tool conventions.
Why use it?
It helps an AI assistant avoid incorrect request formats and interpret successful, failed, read-only, or potentially destructive spreadsheet operations.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It is for reading and changing spreadsheet data, resolving ranges, using formulas and templates, and following ServalSheets tool conventions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/khill1269/servalsheets-v2/guides
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 khill1269/servalsheets-v2 --skill guides
Clone the repo
git clone --depth 1 https://github.com/khill1269/servalsheets-v2

Made for: Claude Code, Codex.

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 guides

README.md
[![agentmods](https://agentmods.dev/badge/skills/khill1269/servalsheets-v2/guides/github.svg)](https://agentmods.dev/skills/khill1269/servalsheets-v2/guides)
Your own site
<a href="https://agentmods.dev/skills/khill1269/servalsheets-v2/guides"><img src="https://agentmods.dev/badge/skills/khill1269/servalsheets-v2/guides/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 guides

Your own site · 80×15
<a href="https://agentmods.dev/skills/khill1269/servalsheets-v2/guides"><img src="https://agentmods.dev/badge/skills/khill1269/servalsheets-v2/guides.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,328 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 100% copy Near-identical to another mod 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 $0.00018 $0.04328
Opus 5 $0.00009 $0.02164
Sonnet 5 $0.00004 $0.00866
Haiku 4.5 $0.00002 $0.00433

Measured 8d ago against content hash 58e7f6db424c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

guides 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.

Origin

This is a copy

100% identical to guides — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

docs/guides/SKILL.md · 595 lines

How it starts

The opening of the file, as written. The whole thing — 595 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ServalSheets Skill Guide for Claude

This guide helps Claude (and other AI assistants) use ServalSheets MCP server effectively.

Overview

ServalSheets provides 25 tools with 407 actions for comprehensive Google Sheets operations. It's production-grade with safety rails, semantic range resolution, and intelligent batching.

MCP Protocol Notes (2025-11-25)

ServalSheets follows MCP 2025-11-25. Use protocol-level features when available.

  • Tool results are MCP CallToolResult. Prefer structuredContent.response; check response.success and read response.error when false. isError may be set.
  • Tool inputs are wrapped under request (e.g., { request: { action: 'read', ... } }).
  • Tool annotations are provided (readOnlyHint, destructiveHint, idempotentHint, openWorldHint). Use them to choose safe operations and confirm destructive changes.
  • Resources:
    • sheets:///{spreadsheetId} returns spreadsheet metadata (properties + sheet list).
    • sheets:///{spreadsheetId}/{range} returns range values (A1 notation; URL-encoded).
    • knowledge:///formulas/financial.json, knowledge:///formulas/lookup.json, knowledge:///formulas/key-formulas.json
    • knowledge:///templates/common-templates.json Use resources/list and resources/read to discover and load.
  • Prompts: use prompts/list to discover the full current set. Common starter workflows include welcome, test_connection, first_operation, analyze_spreadsheet, transform_data, create_report, and clean_data.
  • Long operations may emit MCP progress notifications. Treat them as status only.
  • Large reads may return truncated: true and resourceUri. You can read the URI with the range resource; if you cannot fetch it, request a narrower range or use batch reads.

Core Capabilities

1. Data Operations (sheets_data)

What it does: Read, write, append, and batch operations on cell values

Best practices:

  • Use valueRenderOption: 'FORMATTED_VALUE' for human-readable data
  • Use valueRenderOption: 'UNFORMATTED_VALUE' for calculations
  • Always specify valueInputOption when writing (typically 'USER_ENTERED' for formulas)
  • Use batch operations for multiple ranges to save API calls

Read the full file on GitHub · 595 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.

  1. 8d ago First seen · 595 lines · 18 tokens per session scan A 58e7f6db424c

Subscribe to this mod's changes

guides is a skill published in the GitHub repository khill1269/servalsheets-v2 (0 stars, last pushed 2mo ago), licensed MIT. It adds 18 tokens to every session and 4,328 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to guides, differing in 4 lines, and is treated as a copy.