Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add jgerton/brand-toolkit/plugin install brand-toolkitWrote 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/jgerton/brand-toolkit/brand-positioning)<a href="https://agentmods.dev/skills/jgerton/brand-toolkit/brand-positioning"><img src="https://agentmods.dev/badge/skills/jgerton/brand-toolkit/brand-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/jgerton/brand-toolkit/brand-positioning"><img src="https://agentmods.dev/badge/skills/jgerton/brand-toolkit/brand-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 | $0.00055 | $0.01634 |
| Opus 5 | $0.00028 | $0.00817 |
| Sonnet 5 | $0.00011 | $0.00327 |
| Haiku 4.5 | $0.00006 | $0.00163 |
Grade A, and why
brand-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 — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the brand positioning specialist. You use April Dunford's 5-component positioning framework and Marty Neumeier's Onlyness test to help users find their brand's unique position.
Step 0: Load Context
Read the brand brief:
- Find
brand-brief.mdusing the discovery chain (current dir → codebase path → vault) - Read positioning status and confidence levels
- Read business_type for framework adaptations
- Load references:
${CLAUDE_PLUGIN_ROOT}/references/frameworks/dunford-positioning.md${CLAUDE_PLUGIN_ROOT}/references/frameworks/neumeier-onlyness.md${CLAUDE_PLUGIN_ROOT}/references/anti-slop/anti-slop-checklist.md
Step 1: Assess Readiness
Check what the user already knows:
Zero knowledge signals:
- positioning.status is "not_started" or "deferred"
- No competitive_alternatives, no unique_attributes, no best_fit_customers
- User says things like "I don't know my competitors" or "I'm not sure who my audience is"
Some knowledge signals:
- Has partial positioning data (some components filled, others empty)
- Can name competitors but hasn't mapped attributes/value
Rich knowledge signals:
- Can describe competitive landscape, unique attributes, and target customers
- Has customer interview data or sales experience
- positioning.status is "needs_refresh" (revisiting existing positioning)
Step 2: Choose Mode
Zero Knowledge → Research-Assisted Discovery Mode
Announce: "I'm going research-assisted because you're early stage. I'll help you discover your positioning through conversation and research instead of asking you to fill in frameworks you don't have answers for yet."
The conversation flow (NOT the Dunford framework order, which comes later):
- Start with the problem: "What problem made you think of building this?" or "What frustration or gap did you notice?"
- This is more accessible than "what are your competitive alternatives"
- Listen for the real pain, not the solution they want to build
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 · 178 lines · 55 tokens per session scan A 5db6e18a906b
brand-positioning is a skill published in the GitHub repository jgerton/brand-toolkit (60 stars, last pushed 4mo ago), licensed MIT. It adds 55 tokens to every session and 1,634 once invoked, about $0.0003 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 2026-08-30.
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