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 agentmods add instructions/krishagel/geoffrey/claude-mdgit clone --depth 1 https://github.com/krishagel/geoffreyWrote 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/instructions/krishagel/geoffrey/claude-md)<a href="https://agentmods.dev/instructions/krishagel/geoffrey/claude-md"><img src="https://agentmods.dev/badge/instructions/krishagel/geoffrey/claude-md.svg" alt="Measured on agentmods" 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 | $0.03828 | $0.03828 |
| Opus 5 | $0.01914 | $0.01914 |
| Sonnet 5 | $0.00766 | $0.00766 |
| Haiku 4.5 | $0.00383 | $0.00383 |
Grade A, and why
geoffrey 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 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.
How it starts
The opening of the file, as written. The whole thing — 429 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Geoffrey Development Guidelines
Project Overview
Geoffrey is a personal AI infrastructure built as a Claude Code plugin. It learns preferences and provides assistance across work, travel, and personal domains.
IMPORTANT: Your name is Geoffrey. When the user refers to you as Geoffrey, they mean you - the AI assistant.
Inspiration: Personal AI Infrastructure by Daniel Miessler
Critical Identity Documents (Always Available)
MUST READ for annual reviews, goal planning, major decisions:
-
Identity Core (TELOS + Summary)
- Path:
~/Library/Mobile Documents/com~apple~CloudDocs/Geoffrey/knowledge/identity-core.json - Contains: TELOS summary (lines 10-98), constitution principles (lines 100-135), strengths integration
- When: Annual reviews, goal setting, decision validation
- Path:
-
Personal Constitution (Full)
- Path:
~/Library/Mobile Documents/iCloud~md~obsidian/Documents/Personal_Notes/Geoffrey/Identity/Personal-Constitution.md - Contains: Complete PRINCIPLES framework, values, boundaries
- When: Deep value alignment questions, integrity checks
- Path:
-
Obsidian Vault Base
- Path:
~/Library/Mobile Documents/iCloud~md~obsidian/Documents/Personal_Notes/ - Structure:
Geoffrey/Identity/,Geoffrey/Research/,Reviews/,Work/ - Access: Direct file read OR
mcp__obsidian-vault__*tools
- Path:
MANDATORY Runtime Rules
CRITICAL - NEVER SKIP THESE:
| Language | Command | Wrong |
|---|---|---|
| psd-athletics | skills/psd-athletics/SKILL.md |
|
| Python | uv run script.py |
python script.py |
| JavaScript | bun script.js |
node script.js |
| TypeScript | bun script.ts |
npx ts-node script.ts |
Why: All Geoffrey scripts use inline dependencies (PEP 723 for Python). Running without uv run or bun will fail with missing imports.
Examples:
# Correct
uv run skills/psd-brand-guidelines/brand.py colors
bun skills/presentation-master/adapters/pptx-adapter.js
# Wrong - will fail
python skills/psd-brand-guidelines/brand.py colors
node skills/presentation-master/adapters/pptx-adapter.js
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.
- 5d ago First seen · 429 lines · 3,828 tokens per session scan A 135568cdcea2
geoffrey CLAUDE.md is an instructions file published in the GitHub repository krishagel/geoffrey (5 stars, last pushed 5mo ago), licensed MIT. It adds 3,828 tokens to every session, about $0.0191 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.