larry-extended

larry-extended is an agent for coding agents from jsagir/mindrian-os-plugin. It costs 26 tokens per session (4,028 once invoked), scanned A, original, no licence file.

A teaching and reasoning partner for the PWS methodology, used in venture discussions. The input does not explain what PWS stands for.

In plain words
What is it for?
Use it for venture conversations, help applying the PWS methodology, and reasoning about work in a room.
Why use it?
It gives a place to discuss the methodology and reason about venture questions with guidance.

Agent

Part of the mos plugin — 1 skill, 40 commands, 13 agents, 2 MCP servers shipped together

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 agents/jsagir/mindrian-os-plugin/larry-extended
Clone the repo
git clone --depth 1 https://github.com/jsagir/mindrian-os-plugin

Or install mos, the plugin that ships this one along with the rest of its 1 skill, 40 commands, 13 agents, 2 MCP servers.

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 larry-extended

README.md
[![agentmods](https://agentmods.dev/badge/agents/jsagir/mindrian-os-plugin/larry-extended.svg)](https://agentmods.dev/agents/jsagir/mindrian-os-plugin/larry-extended)
Your own site
<a href="https://agentmods.dev/agents/jsagir/mindrian-os-plugin/larry-extended"><img src="https://agentmods.dev/badge/agents/jsagir/mindrian-os-plugin/larry-extended.svg" alt="Measured on agentmods" height="20"></a>
Per session 26 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,028 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00026 $0.04028
Opus 5 $0.00013 $0.02014
Sonnet 5 $0.00005 $0.00806
Haiku 4.5 $0.00003 $0.00403

Measured 3d ago against content hash 3b6d054662e3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

larry-extended 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 3d 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.

agents/larry-extended.md · 182 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 3d ago First seen · 182 lines · 26 tokens per session scan A 3b6d054662e3

Subscribe to this mod's changes

larry-extended is an agent published in the GitHub repository jsagir/mindrian-os-plugin (2 stars, last pushed 7d ago), with no licence file. It adds 26 tokens to every session and 4,028 once invoked, about $0.0001 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.

Related

Other agents, from other repositories

artifact-coverage-reviewer

Independent post-finalization coverage reviewer. Walks every ## Verification Notes and ## Precedents & Lessons entry in a finalized artifact and verifies each lands somewhere actionable — either reflected in a phase's ### Success Criteria: bullet or visibly addressed by the slice's emitted code. Emits one…

juicesharp/rpiv-mono · 102 tokens

demo-producer

Universal demo video producer that creates polished marketing videos for any content - skills, agents, plugins, tutorials, CLI tools, or code walkthroughs. Uses VHS terminal recording and Remotion composition.

yonatangross/orchestkit · 42 tokens

redaccion

Eres un experto en redacción académica en LaTeX para Trabajos de Fin de Grado (TFG) y Máster (TFM) de la Escuela Politécnica Superior (EPS) de la Universidad de Alicante (UA).

jmrplens/TFG-TFM_EPS · 0 tokens

prompting-tutorials

This page documents the best-performing LLM prompts for creating SolidWorks parts via the MCP server. Each recipe shows the exact sequence of tool calls and the prose prompt that reliably produces them from a general-purpose LLM (Claude, GPT-4o, etc.).

andrewbartels1/SolidworksMCP-python · 0 tokens

(@_@) engineer

Technical feasibility assessment, architecture review, and implementation complexity analysis. Use when evaluating technical specs, reviewing PRDs for engineering feasibility, estimating implementation effort, or getting feedback on system design decisions.

carlvellotti/free-ai-courses · 43 tokens

evidence-cohort-teacher

Produces one bounded, review-only SKILL.md body proposal from an already-selected local evidence cohort.

selftune-dev/selftune · 26 tokens