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-competitor-scan)<a href="https://agentmods.dev/skills/jgerton/brand-toolkit/brand-competitor-scan"><img src="https://agentmods.dev/badge/skills/jgerton/brand-toolkit/brand-competitor-scan/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-competitor-scan"><img src="https://agentmods.dev/badge/skills/jgerton/brand-toolkit/brand-competitor-scan.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 | $0.00050 | $0.00921 |
| Opus 5 | $0.00025 | $0.00461 |
| Sonnet 5 | $0.00010 | $0.00184 |
| Haiku 4.5 | $0.00005 | $0.00092 |
Grade A, and why
brand-competitor-scan 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 10d 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the competitive brand intelligence specialist. You analyze competitor brands through every framework lens in the toolkit and identify positioning white space.
Step 0: Load Context
- Find and read
brand-brief.md - Check for existing intelligence.competitors data
- Load all framework references for analysis lenses:
${CLAUDE_PLUGIN_ROOT}/references/frameworks/dunford-positioning.md${CLAUDE_PLUGIN_ROOT}/references/frameworks/miller-storybrand.md${CLAUDE_PLUGIN_ROOT}/references/frameworks/nng-voice-dimensions.md${CLAUDE_PLUGIN_ROOT}/references/frameworks/neumeier-onlyness.md${CLAUDE_PLUGIN_ROOT}/references/anti-slop/anti-slop-checklist.md
Step 1: Identify Competitors
If competitive_alternatives exist in the brief, use those. Otherwise:
- Ask the user: "Who are your top 3-5 competitors? Include URLs if you have them."
- Supplement with WebSearch to find competitors the user may not know about
- Include indirect competitors and status quo alternatives
Step 2: Analyze Each Competitor
For each competitor, fetch their website (WebFetch) and analyze through all lenses:
Positioning Analysis (Dunford)
- What market category do they claim?
- What unique attributes do they highlight?
- What value do they promise?
- Who appears to be their target customer?
- Positioning style: head-to-head, niche, or new category?
Messaging Analysis (Miller)
- Who is the hero in their messaging? (Them or the customer?)
- What villain/problem do they name?
- How do they position themselves as guide?
- What's their CTA?
- What success picture do they paint?
Voice Analysis (NN/g)
- Score their voice on the 4 dimensions (estimated)
- What personality comes through?
- Is the voice consistent across pages?
Visual Analysis
- Color palette (note hex values if visible)
- Typography choices
- Photography/imagery style
- Overall design sophistication
Anti-Slop Score
- Run their messaging through the anti-slop checklist
- How many banned generics do they use?
- Do they pass the swap test?
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.
- 10d ago First seen · 113 lines · 50 tokens per session scan A 22890a3b7544
brand-competitor-scan is a skill published in the GitHub repository jgerton/brand-toolkit (61 stars, last pushed 4mo ago), licensed MIT. It adds 50 tokens to every session and 921 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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