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.
npx skills add markmhendrickson/neotoma --skill neversight-learn-skills.dev-obviously-awesomegit clone --depth 1 https://github.com/markmhendrickson/neotomaWrote 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.
[](https://agentmods.dev/skills/markmhendrickson/neotoma/neversight-learn-skills.dev-obviously-awesome)<a href="https://agentmods.dev/skills/markmhendrickson/neotoma/neversight-learn-skills.dev-obviously-awesome"><img src="https://agentmods.dev/badge/skills/markmhendrickson/neotoma/neversight-learn-skills.dev-obviously-awesome/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.
<a href="https://agentmods.dev/skills/markmhendrickson/neotoma/neversight-learn-skills.dev-obviously-awesome"><img src="https://agentmods.dev/badge/skills/markmhendrickson/neotoma/neversight-learn-skills.dev-obviously-awesome.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00094 | $0.04810 |
| Opus 5 | $0.00047 | $0.02405 |
| Sonnet 5 | $0.00019 | $0.00962 |
| Haiku 4.5 | $0.00009 | $0.00481 |
Grade A, and why
obviously-awesome 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 7d 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.
This is a copy
95% identical to neversight_learn_skills.dev_obviously_awesome — 11 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 305 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Positioning Framework
This skill implements the product positioning methodology from April Dunford's "Obviously Awesome." It provides a structured, repeatable process for defining how your product is the best in the world at delivering something a well-defined set of customers cares a lot about. Positioning is the foundational strategic exercise that determines how customers perceive your product, what they compare it to, and ultimately whether they buy it.
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.
The foundation of great positioning is understanding that customers always evaluate products relative to alternatives. There is no such thing as absolute product perception. A product that seems expensive in one context seems cheap in another. A feature that seems innovative against one set of competitors seems table-stakes against another. Your job is to deliberately choose the context that makes your unique strengths obvious.
Scoring
Goal: 10/10 — Rate the positioning quality of any product on a 0-10 scale based on the following criteria:
| Score | Description |
|---|---|
| 0-2 | No clear positioning. Customers can't explain what the product is or who it's for. |
| 3-4 | Vague positioning. Category is unclear, differentiation is weak, target customer is "everyone." |
| 5-6 | Partial positioning. Some components are clear but others are missing or inconsistent. Team members describe the product differently. |
| 7-8 | Strong positioning. All five components are defined. Team is aligned. Customers generally understand the value. |
| 9-10 | Exceptional positioning. Every component reinforces the others. Customers immediately understand the product, why it's different, and why they should care. The positioning creates an "aha" moment. |
What ships with it
11 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.
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.
- 7d ago First seen · 305 lines · 94 tokens per session scan A 018294a6755e
obviously-awesome is a skill published in the GitHub repository markmhendrickson/neotoma (32 stars, last pushed today), licensed MIT. It adds 94 tokens to every session and 4,810 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to neversight_learn_skills.dev_obviously_awesome, differing in 11 lines, and is treated as a copy.
Other skills, from other repositories
akf-trust-metadata
The AI native file format. EXIF for AI — stamps every file with trust scores, source provenance, and compliance metadata. Embeds into 20+ formats (DOCX, PDF, images, code). EU AI Act, SOX, HIPAA auditing.
bilibili_search
Search for videos on Bilibili using keyword queries generated from user interests.
bernstein-approve
Review and approve/reject pending tasks or plans in Bernstein. Use when the user asks about approvals, wants to review agent work, or needs to approve/reject a plan before execution begins.
bernstein-quality
Show quality metrics for Bernstein runs - success rates per model, lint/test pass rates, completion time distributions. Use when the user asks about quality, reliability, which model performs best, or pass rates.
manager
Planning - decompose goals, create tasks via task server.
Supply Chain Security
Software supply chain security — SBOM generation and analysis, dependency confusion and typosquatting detection, malicious package indicators, CI/CD pipeline hardening, and artifact provenance/signing (SLSA, Sigstore).