agentmods.dev

grounded-knowledge-engine CLAUDE.md

Repository instructions for the grounded-knowledge-engine project. They point coding agents to shared guidance and explain how the project's local knowledge-base tools are configured.

In plain words
What is it for?
Use them when working on the grounded-knowledge-engine repository, especially its local MCP knowledge-base server.
Why use it?
They keep different coding assistants aligned and help them use the project's own source and knowledge tools correctly while debugging.

Instructions file

5 5d ago A scan 154 tokens original MIT
View the source file dimosgit/grounded-knowledge-engine
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 instructions/dimosgit/grounded-knowledge-engine/claude-md
Clone the repo
git clone --depth 1 https://github.com/dimosgit/grounded-knowledge-engine
Per session 154 This file is loaded in full into every session.
When invoked 154 The same file — it is already loaded in full.
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 $0.00154 $0.00154
Opus 5 $0.00077 $0.00077
Sonnet 5 $0.00031 $0.00031
Haiku 4.5 $0.00015 $0.00015

Measured yesterday against content hash 965440b859be, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

grounded-knowledge-engine CLAUDE.md 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 yesterday.

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.md · 17 lines

What it actually says

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

The canonical agent guidance is shared across Claude Code, Codex, and Gemini CLI in a single file to prevent drift:

@AGENTS.md

Claude Code specifics:

  • This repo's own kb MCP server is registered via a machine-local .mcp.json (generated by npm run setup:mcp, gitignored) plus local approval, so mcp__kb__* tools (search, get_record, answer_and_capture, resume_project) may be available in-session. Treat them as the product under test: prefer reading source files directly when debugging the server itself.
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. yesterday First seen · 17 lines · 154 tokens per session scan A 965440b859be

Subscribe to this mod's changes

grounded-knowledge-engine CLAUDE.md is an instructions file published in the GitHub repository dimosgit/grounded-knowledge-engine (5 stars, last pushed 5d ago), licensed MIT. It adds 154 tokens to every session, about $0.0008 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 2026-08-31.

Data and AIMemory and contextai-agentsgroundingknowledge-baselocal-firstmcpmodel-context-protocol
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