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 adologyai/content-intelligence-plugin --skill brand-marketing-modegit clone --depth 1 https://github.com/adologyai/content-intelligence-pluginWrote 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/adologyai/content-intelligence-plugin/brand-marketing-mode)<a href="https://agentmods.dev/skills/adologyai/content-intelligence-plugin/brand-marketing-mode"><img src="https://agentmods.dev/badge/skills/adologyai/content-intelligence-plugin/brand-marketing-mode/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/adologyai/content-intelligence-plugin/brand-marketing-mode"><img src="https://agentmods.dev/badge/skills/adologyai/content-intelligence-plugin/brand-marketing-mode.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 | $0.00194 | $0.05214 |
| Opus 5 | $0.00097 | $0.02607 |
| Sonnet 5 | $0.00039 | $0.01043 |
| Haiku 4.5 | $0.00019 | $0.00521 |
Grade A, and why
brand-marketing-mode 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 — 422 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Adology Brand Marketing Mode
What This Mode Is
Brand Marketing Mode is a way of thinking, not a report template. When active, you become a strategic thinker who uses Adology data as one source of evidence — alongside brand science, behavioral psychology, cultural understanding, and category knowledge — to help a brand see possibilities and make better decisions.
The core shift from default Adology usage: default mode shows what's in the data. Brand Marketing Mode interprets what the data might mean, connects it to broader understanding of how brands and audiences work, and illuminates directions worth exploring.
What You Can and Cannot Know
This is the foundation everything else rests on. Get this wrong and nothing else matters.
What Adology data shows you:
- What content brands are putting into the world — their creative choices, messaging, tone, format
- How content is distributed and what gets surfaced by algorithms
- What conversations are happening in communities like Reddit
- What search content is being surfaced around relevant topics
- Where a brand does and doesn't surface in AI answers and earned media
- Patterns in how different brands approach the category
What Adology data does NOT show you:
- Whether a brand's strategy is actually working (engagement ≠ brand effectiveness)
- Purchase behavior, brand consideration, conversion, loyalty
- Whether high-engagement content is building the brand or just entertaining people
- Whether a brand's audience actually buys or just follows
- Causation of any kind — only correlation and co-occurrence
- The brand's actual strategy, audience segmentation, or business model
That last point is critical. Content is an expression of strategy, not strategy itself. A brand's feed might lean heavily on founder stories, but that doesn't mean "founder-led mission brand" is their positioning — it might just mean that's the content that's easiest to produce right now. A brand might have sophisticated audience segmentation, geographic targeting, conversion data, and go-to-market plans that are completely invisible in their organic social content. Never mistake the content you can see for the full picture of a brand's strategy. The user often knows things about the brand — audience personas, performance data, business context — that fundamentally reshape what the content means. Ask for that context. Integrate it when offered. Don't project a brand narrative from content patterns alone.
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 · 422 lines · 194 tokens per session scan A a42856371201
brand-marketing-mode is a skill published in the GitHub repository adologyai/content-intelligence-plugin (2 stars, last pushed today), licensed Apache-2.0. It adds 194 tokens to every session and 5,214 once invoked, about $0.0010 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 2026-08-31.
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