errc-grid

errc-grid is a skill for Claude Code, Codex from tupe12334/instinct. It costs 26 tokens per session (2,083 once invoked), scanned A, original, MIT.

A Blue Ocean Strategy planning grid with four actions: Eliminate, Reduce, Raise, and Create. Blue Ocean Strategy is a way to seek new market space instead of competing only on existing industry standards.

In plain words
What is it for?
Use it to redesign an offering by removing or reducing some industry factors while raising existing value and creating new value.
Why use it?
It helps teams question which features or services add cost, which deserve more attention, and which new sources of customer value could be introduced.

Skill for Claude CodeCodex

Part of the instinct plugin — 54 skills, 1 hook 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 skills/tupe12334/instinct/errc-grid
Any agent
npx skills add tupe12334/instinct --skill errc-grid
Clone the repo
git clone --depth 1 https://github.com/tupe12334/instinct

Made for: Claude Code, Codex.

Or install instinct, the plugin that ships this one along with the rest of its 54 skills, 1 hook.

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 errc-grid

README.md
[![agentmods](https://agentmods.dev/badge/skills/tupe12334/instinct/errc-grid.svg)](https://agentmods.dev/skills/tupe12334/instinct/errc-grid)
Your own site
<a href="https://agentmods.dev/skills/tupe12334/instinct/errc-grid"><img src="https://agentmods.dev/badge/skills/tupe12334/instinct/errc-grid.svg" alt="Measured on agentmods" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,083 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 $0.00026 $0.02083
Opus 5 $0.00013 $0.01042
Sonnet 5 $0.00005 $0.00417
Haiku 4.5 $0.00003 $0.00208

Measured 4d ago against content hash dba9aee91a84, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

errc-grid 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 4d 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.

skills/errc-grid/SKILL.md · 122 lines

How it starts

The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ERRC Grid

Overview

The ERRC Grid is the core action tool of Blue Ocean Strategy (Kim & Mauborgne). It forces explicit decisions across four quadrants — Eliminate, Reduce, Raise, Create — to simultaneously cut costs and lift buyer value, rather than trading one off against the other. The output is a new value curve that diverges from the industry standard instead of benchmarking against it.

┌─────────────────────────────┬─────────────────────────────┐
│         ELIMINATE           │           RAISE             │
│  Factors the industry takes │  Factors to push well above │
│  for granted that add cost  │  the industry standard      │
│  but deliver no real value  │                             │
├─────────────────────────────┼─────────────────────────────┤
│          REDUCE             │           CREATE            │
│  Factors to drop below the  │  Factors the industry has   │
│  industry standard without  │  never offered — new sources│
│  meaningfully hurting buyers│  of buyer value             │
└─────────────────────────────┴─────────────────────────────┘
         COST SIDE ◄──────────────────► VALUE SIDE

The Four Actions

Eliminate

Remove factors that incumbents compete on purely out of inertia. These are often costly to provide but buyers no longer value — or never valued in the first place. Elimination is the hardest action because it requires admitting that an industry practice is waste.

Reduce

Keep the factor but pull back to the minimum level that avoids buyer dissatisfaction. Use when a factor has real baseline value but the industry over-delivers on it, paying a cost premium buyers won't pay for in price.

Raise

Invest above the current industry ceiling on factors where buyers are underserved and willing to pay a premium. Raise only a small number of factors — raising everything is not a strategy, it is just spending more.

Create

Introduce factors that have never existed in this industry. These are the most defensible because competitors cannot copy what they have not yet conceived. Sources: look across substitute industries, buyer chains, or emotional vs functional appeal.

Read the full file on GitHub · 122 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. 4d ago First seen · 122 lines · 26 tokens per session scan A dba9aee91a84

Subscribe to this mod's changes

errc-grid is a skill published in the GitHub repository tupe12334/instinct (1 stars, last pushed 19d ago), licensed MIT. It adds 26 tokens to every session and 2,083 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.

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