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 matteotitta/genesys-skills --skill positioninggit clone --depth 1 https://github.com/matteotitta/genesys-skillsWrote 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/matteotitta/genesys-skills/positioning)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/positioning"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/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.
<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/positioning"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/positioning.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 | $0.00021 | $0.02371 |
| Opus 5 | $0.00010 | $0.01185 |
| Sonnet 5 | $0.00004 | $0.00474 |
| Haiku 4.5 | $0.00002 | $0.00237 |
Grade A, and why
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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
B2B positioning strategy
Develop clear, defensible positioning for B2B SaaS products. Synthesizes ICP + competitor + brand context into a binary strategy choice (category vs problem), primary/secondary anchors, defensible differentiators, and a positioning statement that survives the 5-second clarity test.
When to run
Invoke when the user says:
- "Help me position [product/company]" / "Positioning strategy for [company]"
- "What category should we be in?" / "How do I differentiate from [competitor]?"
- "Our homepage isn't converting" / "Our messaging is confusing"
- "Should we niche down or go broad?" / "How do I explain what we do?"
- "Multi-product positioning help"
- "Give me positioning options / scenarios" / "What are the decisions to make on positioning?" → scenarios mode (N fully-worked bets + canvas + recommended pick)
Do NOT invoke when:
- User wants landing page copy directly →
landing-page-copy - User wants full messaging library →
product-messaging(run after positioning) - User wants competitor research only →
competitor-research - User wants ICP research only →
icp-behavioural
Workflow sequences:
- Greenfield:
positioning → product-messaging → landing-page-copy - Research-informed:
icp-behavioural → competitor-research → positioning → product-messaging - Audit fix:
website-pm-score → win-loss-analysis → positioning → landing-page-copy - Decisions to make:
competitor-research → positioning --scenarios → (client picks) → product-messaging
Inputs
Required:
- Company/product name and basic description
- Website URL (accessible, fetchable)
Recommended (improve quality):
icp-behaviouraloutput → sharpens persona + problem anchorscompetitor-researchoutput → enables competitive alternative mappingwin-loss-analysisoutput → real decision criteria, objections- Sales feedback → what's working in conversations
website-pm-scoreoutput → clarity gaps to fix
If inputs missing: Ask for website URL. Offer to run website-pm-score first to assess current clarity. Identify founder type early (customer-focused / technology-focused / competition-focused) — drives the approach sequence.
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.
- 9d ago First seen · 146 lines · 167 tokens per session scan A 344951eb7d34
positioning is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 21 tokens to every session and 2,371 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 2026-09-03.
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