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 nota-america/forgecat-agent-profiles --skill brand-reviewgit clone --depth 1 https://github.com/nota-america/forgecat-agent-profilesWrote 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/nota-america/forgecat-agent-profiles/brand-review)<a href="https://agentmods.dev/skills/nota-america/forgecat-agent-profiles/brand-review"><img src="https://agentmods.dev/badge/skills/nota-america/forgecat-agent-profiles/brand-review/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/nota-america/forgecat-agent-profiles/brand-review"><img src="https://agentmods.dev/badge/skills/nota-america/forgecat-agent-profiles/brand-review.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 | $0.00065 | $0.02816 |
| Opus 5 | $0.00032 | $0.01408 |
| Sonnet 5 | $0.00013 | $0.00563 |
| Haiku 4.5 | $0.00006 | $0.00282 |
Grade A, and why
brand-review 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.
This is a copy
98% identical to brand-review — 10 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 281 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Review
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md (
.forgecat/profiles/@forgecat/anthropics_knowledge-work-plugins_marketing/CONNECTORS.md).
Review marketing content against brand voice, style guidelines, and messaging standards. Flag deviations and provide specific improvement suggestions.
Trigger
User runs /brand-review or asks to review, check, or audit content against brand guidelines.
Inputs
-
Content to review — accept content in any of these forms:
- Pasted directly into the conversation
- A file path or ~~knowledge base reference (e.g. Notion page, shared doc)
- A URL to a published page
- Multiple pieces for batch review
-
Brand guidelines source (determined automatically):
- If a brand style guide is configured in local settings, use it automatically
- If not configured, ask: "Do you have a brand style guide or voice guidelines I should review against? You can paste them, share a file, or describe your brand voice. Otherwise, I'll do a general review for clarity, consistency, and professionalism."
Review Process
With Brand Guidelines Configured
Evaluate the content against each of these dimensions:
Voice and Tone
- Does the content match the defined brand voice attributes?
- Is the tone appropriate for the content type and audience?
- Are there shifts in voice that feel inconsistent?
- Flag specific sentences or phrases that deviate with an explanation of why
Terminology and Language
- Are preferred brand terms used correctly?
- Are any "avoid" terms or phrases present?
- Is jargon level appropriate for the target audience?
- Are product names, feature names, and branded terms used correctly (capitalization, formatting)?
Messaging Pillars
- Does the content align with defined messaging pillars or value propositions?
- Are claims consistent with approved messaging?
- Is the content reinforcing or contradicting brand positioning?
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 · 281 lines · 65 tokens per session scan A bd0297fbefe8
brand-review is a skill published in the GitHub repository nota-america/forgecat-agent-profiles (66 stars, last pushed yesterday), licensed Apache-2.0. It adds 65 tokens to every session and 2,816 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to brand-review, differing in 10 lines, and is treated as a copy.
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