ground

ground is a skill for Claude Code, Codex from Mburdo/knowledge_and_vibes. It costs 47 tokens per session (2,031 once invoked), scanned A, original, MIT.

A documentation-checking skill for external libraries, APIs, and frameworks. It verifies current usage, syntax, and version compatibility before code is written.

In plain words
What is it for?
Checking library imports, API methods, framework patterns, security practices, new major versions, and current documentation or code examples.
Why use it?
It reduces the risk of relying on outdated examples or incorrect API details, especially in authentication and security code.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/mburdo/knowledge_and_vibes/ground
Any agent
npx skills add Mburdo/knowledge_and_vibes --skill ground
Clone the repo
git clone --depth 1 https://github.com/Mburdo/knowledge_and_vibes

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 ground

README.md
[![agentmods](https://agentmods.dev/badge/skills/mburdo/knowledge_and_vibes/ground.svg)](https://agentmods.dev/skills/mburdo/knowledge_and_vibes/ground)
Your own site
<a href="https://agentmods.dev/skills/mburdo/knowledge_and_vibes/ground"><img src="https://agentmods.dev/badge/skills/mburdo/knowledge_and_vibes/ground.svg" alt="Measured on agentmods" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,031 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00047 $0.02031
Opus 5 $0.00023 $0.01015
Sonnet 5 $0.00009 $0.00406
Haiku 4.5 $0.00005 $0.00203

Measured 5d ago against content hash 7505c3637506, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ground 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 5d 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.

.claude/skills/ground/SKILL.md · 326 lines

How it starts

The opening of the file, as written. The whole thing — 326 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ground — External Documentation

Verify external dependencies against current documentation before implementation. Direct execution.

Design rationale: This skill executes directly rather than spawning subagents because grounding is a simple query + verification sequence (~300 tokens), not substantial analytical work. Per Lita research: "Simple agents achieve 97% of complex system performance with 15x less code."

When This Applies

Signal Action
About to write import for external lib Ground first
Using API/SDK methods Verify current syntax
Framework-specific patterns Check version compatibility
Auth/security code Always verify current best practices
User says "ground" or "verify" Run full grounding check
New library or major version Deep grounding

Default: When uncertain about external APIs, ground.


Tool Reference

Exa MCP Tools

Tool Purpose
web_search_exa(query) General documentation search
get_code_context_exa(query) Code examples from GitHub/tutorials
crawling(url) Extract content from specific URLs

Decision Tree

Where does truth live?

EXTERNAL DOCS ──► /ground (this skill)
                 "What's the current API for X?"

CODEBASE ───────► /explore (warp-grep)
                 "How does X work in our code?"

HISTORY ────────► /recall (cm + cass)
                 "How did we do this before?"

TASKS ──────────► bv --robot-*
                 "What should I work on?"

Execution Flow

Execute these steps directly. No subagents needed.

Step 1: Identify What Needs Grounding

Categories that need verification:

Category Why Risk
Imports/Initialization Syntax changes between versions High
API Methods Methods get renamed/deprecated High
Configuration Options/flags evolve Medium
Async Patterns Async APIs vary significantly Medium
Auth/Security Security best practices change Critical
Data Validation Validators/schemas evolve Medium

Read the full file on GitHub · 326 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. 5d ago First seen · 326 lines · 47 tokens per session scan A 7505c3637506

Subscribe to this mod's changes

ground is a skill published in the GitHub repository Mburdo/knowledge_and_vibes (44 stars, last pushed 8mo ago), licensed MIT. It adds 47 tokens to every session and 2,031 once invoked, about $0.0002 per session on Opus 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 2026-08-30.

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