value-prop-and-positioning

value-prop-and-positioning is a skill for Codex from nthnclrk/enablement-skills. It costs 60 tokens per session (799 once invoked), scanned A, original, MIT.

A framework for explaining why a product is a good choice for a specific buyer and job. It compares the product with alternatives, including keeping the current manual process.

In plain words
What is it for?
Use it to develop positioning, value propositions, differentiation, alternatives framing, proof points, and a reason the buyer should act now.
Why use it?
It prevents vague slogans and unsupported promises by focusing on the buyer’s real problem, competing options, differences, and evidence.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to develop positioning, value propositions, differentiation, alternatives framing, proof points, and a reason the buyer should act now.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nthnclrk/enablement-skills/value-prop-and-positioning
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 nthnclrk/enablement-skills --skill value-prop-and-positioning
Clone the repo
git clone --depth 1 https://github.com/nthnclrk/enablement-skills

Made for: Codex.

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 value-prop-and-positioning

README.md
[![agentmods](https://agentmods.dev/badge/skills/nthnclrk/enablement-skills/value-prop-and-positioning/github.svg)](https://agentmods.dev/skills/nthnclrk/enablement-skills/value-prop-and-positioning)
Your own site
<a href="https://agentmods.dev/skills/nthnclrk/enablement-skills/value-prop-and-positioning"><img src="https://agentmods.dev/badge/skills/nthnclrk/enablement-skills/value-prop-and-positioning/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 value-prop-and-positioning

Your own site · 80×15
<a href="https://agentmods.dev/skills/nthnclrk/enablement-skills/value-prop-and-positioning"><img src="https://agentmods.dev/badge/skills/nthnclrk/enablement-skills/value-prop-and-positioning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 799 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.
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 $0.00060 $0.00799
Opus 5.5 $0.00024 $0.00320
Sonnet 5.5 $0.00012 $0.00160
Haiku 4.5 $0.00006 $0.00080

Measured 24d ago against content hash 04190e08daef, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

value-prop-and-positioning 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 24d 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/value-prop-and-positioning/SKILL.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Value prop and positioning

Explain why a defined buyer would choose this offer over a credible alternative, using differences the evidence supports.

The alternative that matters most is often no change: the spreadsheet, the manual workaround, the in-house tool they already paid for.

Alternative. "Ops VPs keep the spreadsheet because it is already in the Friday review. We win when missed handoffs have a named cost and a named owner. We lose when the pain is 'it would be nicer to have a system.'"

Slogan. "The AI-powered platform of record for modern operations teams."

If you cannot name what the buyer would do instead, you do not have positioning yet.

Inputs

Reuse supplied context first. If a missing company fact would change the result, check the relevant sections of .enablement/context.md when available. Preserve source dates and approval limits.

Ask only for what changes the thesis:

  1. Who is buying, and what job they are trying to finish
  2. What they use or consider instead, including no change
  3. The capability that is actually different, and how it produces an outcome
  4. Approved proof and claim limits

Do not turn an unverified hypothesis into an external outcome claim.

Supporting material

Read references/positioning-canvas.md for thesis modes, the alternatives map, and the differentiation chain. Skip it if the user already has a canvas and only wants a rewrite.

Procedure

  1. Name the buyer task. Trigger, progress sought, current approach, decision criteria, cost of staying put. Done when you can say why this is a decision, not a feature launch.
  2. Map real alternatives. Only options there is evidence for. Include no change. Do not invent a competitor set to fill a table.
  3. Build the differentiation chain. Capability, mechanism, buyer outcome, proof. Drop claims that are only different in wording. "AI-powered" and "easy" are not chains.
  4. Choose a thesis mode. Evidence-backed, product-demonstrable without an outcome claim, or internal hypothesis with no external use. Write only the pillars that mode can support.
  5. Translate by decision role. Change the task, criterion, outcome, proof, and risk, not just the vocabulary.
  6. Add why-now only when a real trigger, cost of delay, or decision window exists.
  7. State who this is not for, and which claims you cannot support.

Read the full file on GitHub · 75 lines

Files

What ships with it

2 files 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. 24d ago Changed · +6 lines 04190e08daef
  2. 2mo ago First seen · 69 lines · 60 tokens per session scan A 425aa549e329

Subscribe to this mod's changes

value-prop-and-positioning is a skill published in the GitHub repository nthnclrk/enablement-skills (16 stars, last pushed 25d ago), licensed MIT. It adds 60 tokens to every session and 799 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.

Related

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