evaluate_positioning

evaluate_positioning is a skill for Claude Code from markmhendrickson/neotoma. It costs 9 tokens per session (13,645 once invoked), scanned A, original, MIT.

A framework for judging whether a product message clearly explains its value to the intended customers. It examines the strategy behind the message and how that strategy appears on a homepage, pitch, README, or other page.

In plain words
What is it for?
Use it to review product positioning, compare it with customer and evaluator feedback, check fit with an ideal customer profile, and assess the wording and presentation of the chosen page or asset.
Why use it?
It helps reveal when a message is unclear, unmemorable, aimed at the wrong audience, or unsupported by customer feedback.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions CLAUDE.md.

Good fit Use it to review product positioning, compare it with customer and evaluator feedback, check fit with an ideal customer profile, and assess the wording and presentation of the chosen page or asset.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/markmhendrickson/neotoma/evaluate_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 markmhendrickson/neotoma --skill evaluate_positioning
Clone the repo
git clone --depth 1 https://github.com/markmhendrickson/neotoma

Made for: Claude Code.

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 evaluate_positioning

README.md
[![agentmods](https://agentmods.dev/badge/skills/markmhendrickson/neotoma/evaluate_positioning/github.svg)](https://agentmods.dev/skills/markmhendrickson/neotoma/evaluate_positioning)
Your own site
<a href="https://agentmods.dev/skills/markmhendrickson/neotoma/evaluate_positioning"><img src="https://agentmods.dev/badge/skills/markmhendrickson/neotoma/evaluate_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 evaluate_positioning

Your own site · 80×15
<a href="https://agentmods.dev/skills/markmhendrickson/neotoma/evaluate_positioning"><img src="https://agentmods.dev/badge/skills/markmhendrickson/neotoma/evaluate_positioning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 9 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 13,645 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Agent Snooping · line 6
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 $0.00009 $0.13645
Opus 5.5 $0.00004 $0.05458
Sonnet 5.5 $0.00002 $0.02729
Haiku 4.5 $0.00001 $0.01364

Measured 2mo ago against content hash dc77bc6d6513, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

evaluate_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 2mo 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.

.claude/skills/evaluate_positioning/SKILL.md · 942 lines

How it starts

The opening of the file, as written. The whole thing — 942 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Product Positioning Evaluation Framework

This skill evaluates whether a positioning surface (homepage, subpage, pitch, README, or other asset) effectively communicates to a target ICP. It combines strategic positioning assessment with surface expression evaluation — because positioning only exists as experienced by the audience.

Five complementary lenses:

  1. Obviously Awesome (April Dunford) — The 5-step positioning process: competitive alternatives, unique attributes, value mapping, best-fit customers, market category.
  2. Made to Stick (Chip & Dan Heath) — The SUCCESs framework for evaluating whether positioning is memorable and actionable: Simple, Unexpected, Concrete, Credible, Emotional, Stories.
  3. Neotoma Evaluator Feedback — Ground-truth validation against all evaluator feedback stored in Neotoma, surfacing whether positioning claims match what real evaluators said, felt, and objected to.
  4. ICP Alignment — Structural fit against docs/icp/primary_icp.md: pain triggers, operational modes, vocabulary bridge, qualification criteria, adoption funnel, and competitor migration paths.
  5. Surface Expression — Whether the page or asset presenting the positioning supports comprehension, demonstrates the product, and follows the audience's natural decision flow.

Lenses 1-4 produce the weighted Combined Positioning Score. Lens 5 (Surface Expression) functions as a gate: if it scores below 6, the combined score carries an asterisk.

Core Principle

Positioning is not messaging. Positioning is context.

Positioning defines the context within which customers evaluate your product. It determines what category customers place you in, what alternatives they compare you against, which features they pay attention to, and how they judge your value. Get positioning right, and everything downstream — messaging, sales pitches, marketing campaigns, pricing — becomes dramatically easier. Get it wrong, and no amount of clever copywriting or advertising spend will save you. Customers who don't understand what you are will never understand why you matter.

Read the full file on GitHub · 942 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. 2mo ago First seen · 942 lines · 9 tokens per session scan A dc77bc6d6513

Subscribe to this mod's changes

evaluate_positioning is a skill published in the GitHub repository markmhendrickson/neotoma (36 stars, last pushed yesterday), licensed MIT. It adds 9 tokens to every session and 13,645 once invoked, about $0.0000 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.

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