from-rentseeking-perspective

from-rentseeking-perspective is a skill for Claude Code, Codex from OutlineDriven/odin-claude-plugin. It costs 40 tokens per session (569 once invoked), scanned A, original, Apache-2.0.

A read-only method for examining a subject from the viewpoint of value extraction without building something new. It considers who captures value, where rents collect, and what barriers protect them.

In plain words
What is it for?
Use it to study how value is extracted from a business, market, project, or proposal without mixing in other perspectives.
Why use it?
It prevents the analysis from drifting into product rebuilding or a blended review using several viewpoints. The subject must be supplied by the user.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the odin-critique plugin — 21 skills shipped together

Good fit Use it to study how value is extracted from a business, market, project, or proposal without mixing in other perspectives.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/outlinedriven/odin-claude-plugin/from-rentseeking-perspective
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 OutlineDriven/odin-claude-plugin --skill from-rentseeking-perspective
Clone the repo
git clone --depth 1 https://github.com/OutlineDriven/odin-claude-plugin

Made for: Claude Code, Codex.

Or install odin-critique, the plugin that ships this one along with the rest of its 21 skills.

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 from-rentseeking-perspective

README.md
[![agentmods](https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/from-rentseeking-perspective/github.svg)](https://agentmods.dev/skills/outlinedriven/odin-claude-plugin/from-rentseeking-perspective)
Your own site
<a href="https://agentmods.dev/skills/outlinedriven/odin-claude-plugin/from-rentseeking-perspective"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/from-rentseeking-perspective/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 from-rentseeking-perspective

Your own site · 80×15
<a href="https://agentmods.dev/skills/outlinedriven/odin-claude-plugin/from-rentseeking-perspective"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/from-rentseeking-perspective.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 569 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00040 $0.00569
Opus 5 $0.00020 $0.00284
Sonnet 5 $0.00008 $0.00114
Haiku 4.5 $0.00004 $0.00057

Measured 6d ago against content hash a2d795026f0b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

from-rentseeking-perspective 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 6d 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.

plugins/odin-critique/skills/from-rentseeking-perspective/SKILL.md · 44 lines

How it starts

The opening of the file, as written. The whole thing — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.

From rentseeking perspective

Contract

Field Bound contract
Trigger User wants an answer only from the rent-seeking seat (extraction without building).
Authority Read-only. No file, VCS, credential, paid, published, deployed, or remote mutation.
Side effect A rent-seeking-perspective analysis emitted as chat output only.
Done A rent-seeking-perspective answer is emitted without blending.

Not for

  • Rebuilding a design from primitives: use from-first-principle.
  • Blended multi-seat analysis: run each from-*-perspective seat independently and compare after.
  • Source or remote mutation: this skill is read-only.

Inputs

The subject to analyze must be supplied by the user. Optional: the specific question to answer about that subject; if omitted, answer the most direct rent-seeking question the subject raises.

Procedure

  1. Confirm the subject is supplied. If it is absent, ask for it and stop; emit no analysis. Done when: the subject is stated.
  2. Adopt only the rent-seeking seat: judge everything as extraction without building, who captures value without creating it, where rents accrue, and what barriers protect them. Done when: the analysis is framed through extraction-without-building.
  3. Answer the question solely from that seat. Do not blend other perspectives (breaking, business, codebase, impact, career, innovation, stability, moat, human, skeptic) into the answer mid-answer. Done when: no other seat's reasoning appears in the answer.
  4. Keep the output self-contained as one perspective. Comparison with other lenses happens after this output, not inside it. Done when: the answer stands alone without cross-lens synthesis.
  5. Emit the analysis as chat output. Make no file, VCS, credential, paid, published, deployed, or remote change. Done when: the analysis is emitted and no mutation occurred.

Failure and recovery

  • Blending failure: if the answer begins to mix seats, restart from step 2 and keep only rent-seeking reasoning.
  • Missing subject: if no subject is supplied, ask for one and stop; emit no partial analysis.
  • Non-mutation: this skill never mutates anything, so no rollback is needed. A blocked result is an explicit "subject required" message, never a fabricated analysis.

Read the full file on GitHub · 44 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 6d ago First seen · 44 lines · 40 tokens per session scan A a2d795026f0b

Subscribe to this mod's changes

from-rentseeking-perspective is a skill published in the GitHub repository OutlineDriven/odin-claude-plugin (36 stars, last pushed 3d ago), licensed Apache-2.0. It adds 40 tokens to every session and 569 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 2026-09-06.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens