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 TheMattBerman/landing-page-factory --skill brand-profilegit clone --depth 1 https://github.com/TheMattBerman/landing-page-factoryWrote 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/themattberman/landing-page-factory/brand-profile)<a href="https://agentmods.dev/skills/themattberman/landing-page-factory/brand-profile"><img src="https://agentmods.dev/badge/skills/themattberman/landing-page-factory/brand-profile/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/themattberman/landing-page-factory/brand-profile"><img src="https://agentmods.dev/badge/skills/themattberman/landing-page-factory/brand-profile.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 | $0.00033 | $0.00624 |
| Opus 5 | $0.00016 | $0.00312 |
| Sonnet 5 | $0.00007 | $0.00125 |
| Haiku 4.5 | $0.00003 | $0.00062 |
Grade A, and why
brand-profile 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 12d 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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Profile
This skill exists to normalize brand identity, not to write pretty summaries.
If the extract is weak, say the profile is low-confidence. Do not fake certainty.
Required inputs
workspace/brand/extract.mdworkspace/pages/[page-name]/strategy.jsonwhen available
Outputs
Write:
workspace/brand/profile.mdworkspace/brand/palette.json
Required profile format
# Brand Profile: [Brand]
Built:
Source confidence:
## Layer 1: Observed source evidence
### Exact phrases worth preserving
-
### Exact phrases to avoid or not overuse
-
### Claim inventory summary
-
### Objection inventory summary
-
### Mechanism language summary
-
### Proof / trust summary
-
### Visual motif summary
-
### Page pattern summary
-
## Layer 2: Synthesized operating profile
### Positioning
- one-line positioning
- key alternative it is beating
- buyer job
### Audience model
- primary buyer
- awareness stage
- sophistication
- pain priorities
- desire priorities
### Voice system
| Dimension | Position | Evidence |
|---|---|---|
| formal ↔ casual | | |
| reserved ↔ bold | | |
| technical ↔ accessible | | |
| practical ↔ aspirational | | |
### Language bank
- words they use
- category terms expected by buyers
- differentiator phrases
- words and tones to avoid
### Visual identity
- color system
- typography system
- photography / rendering style
- shape language
- spacing density
- trust-critical design conventions
### Confidence notes
- what is strongly grounded
- what is inferred
- what downstream should not overfit
Palette contract
palette.json must include:
- colors with exact hex values
- font families and fallback stacks
- default radius range
- background / surface treatment
- confidence notes if values were inferred
Rules
- Evidence block first. Synthesis second.
- Repeated source language is more valuable than abstract tone adjectives.
- If strategy says certain trust cues or phrases must be preserved, keep them explicit.
- Do not let anti-slop taste override category legitimacy.
- Label uncertainty.
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.
- 12d ago First seen · 135 lines · 33 tokens per session scan A f08c7399460b
brand-profile is a skill published in the GitHub repository TheMattBerman/landing-page-factory (40 stars, last pushed 5mo ago), licensed MIT. It adds 33 tokens to every session and 624 once invoked, about $0.0002 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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