position-wedge

position-wedge is a skill for Claude Code, Codex from Lab2A/metalworks. It costs 98 tokens per session (872 once invoked), scanned A, original, MIT.

A process for turning a completed demand report into a focused market-positioning hypothesis. It uses a Dunford statement, which explains the alternative, distinctive attribute, value, target first market, and category.

In plain words
What is it for?
Selecting a competitive positioning wedge and price hypothesis, with every part linked to a real Reddit quote or web finding from the existing report.
Why use it?
It connects each positioning choice to verified customer or market evidence instead of relying on unsupported messaging ideas.

Skill for Claude CodeCodex

Part of the metalworks plugin — 22 skills, 1 hook, 1 MCP server 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/lab2a/metalworks/position-wedge
Any agent
npx skills add Lab2A/metalworks --skill position-wedge
Clone the repo
git clone --depth 1 https://github.com/Lab2A/metalworks

Made for: Claude Code, Codex.

Or install metalworks, the plugin that ships this one along with the rest of its 22 skills, 1 hook, 1 MCP server.

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 position-wedge

README.md
[![agentmods](https://agentmods.dev/badge/skills/lab2a/metalworks/position-wedge.svg)](https://agentmods.dev/skills/lab2a/metalworks/position-wedge)
Your own site
<a href="https://agentmods.dev/skills/lab2a/metalworks/position-wedge"><img src="https://agentmods.dev/badge/skills/lab2a/metalworks/position-wedge.svg" alt="Measured on agentmods" height="20"></a>
Per session 98 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 872 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 5.1 $0.00098 $0.00872
Opus 5 $0.00049 $0.00436
Sonnet 5 $0.00020 $0.00174
Haiku 4.5 $0.00010 $0.00087

Measured 5d ago against content hash f4127b0a1807, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

position-wedge 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.

plugin/skills/position-wedge/SKILL.md · 64 lines

How it starts

The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Preamble (run first)

Before any other tool, run the preflight MCP tool (or metalworks preflight on the CLI). If it reports setup issues or that an update is available, surface that to the user in one line and help them resolve it (install the missing extra/key, or pip install -U metalworks) before continuing. Skip only if the user has already passed preflight this session.

Read the reference; never reverse-engineer the source. The moment you need to know how metalworks behaves — provider/model resolution, which source/reader runs, config precedence, an error you hit, or the async run loop — STOP and read docs/operating-metalworks.md (bundled with this plugin) before opening any file under src/. It is the source of truth; do not derive behavior from source. (Full docs: https://metalworks.lab2a.ai/docs.) For a long-running run, poll status with the Monitor tool or a bounded loop — never a blind sleep.

You are turning one demand report into a defensible positioning hypothesis — a Dunford wedge whose every claim points back to evidence the report already verified. You are NOT brainstorming taglines; the wedge is selected from real demand signal, not invented.

Steps

  1. Get the report_id. If the user hasn't run a report yet, point them at /demand-report first — positioning needs a finished report to stand on.

  2. Call the positioning_from_report MCP tool with the report_id (or, on the CLI, run metalworks position <report_id>). It does one LLM call and returns a PositioningBrief.

  3. Read the brief honestly:

    • If wedge is present, present the Dunford statement, then each slot: competitive alternative (what they use today), unique attribute (the white space competitors miss), value, beachhead (the narrow first audience), market category.
    • Show the price hypothesis band when present (and say "insufficient price signal" when the report had none — never invent a number).
    • For each wedge claim, surface the backing evidence: resolve its EvidenceRefs against the report's evidence and show the permalink(s). A claim with no resolvable evidence does not ship.

Read the full file on GitHub · 64 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. 5d ago First seen · 64 lines · 98 tokens per session scan A f4127b0a1807

Subscribe to this mod's changes

position-wedge is a skill published in the GitHub repository Lab2A/metalworks (6 stars, last pushed 2mo ago), licensed MIT. It adds 98 tokens to every session and 872 once invoked, about $0.0005 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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