Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/charlieviettq/awesome-agent-skillnpx agentmods add skills/charlieviettq/awesome-agent-skill/brand-reviewWrote 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/charlieviettq/awesome-agent-skill/brand-review)<a href="https://agentmods.dev/skills/charlieviettq/awesome-agent-skill/brand-review"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/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/charlieviettq/awesome-agent-skill/brand-review"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/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 | $0.02803 |
| Opus 5.5 | $0.00026 | $0.01121 |
| Sonnet 5.5 | $0.00013 | $0.00561 |
| Haiku 4.5 | $0.00006 | $0.00280 |
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 1mo 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
95% identical to brand-review — 7 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 — 278 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.
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?
Style Guide Compliance
- Grammar and punctuation per style guide (e.g., Oxford comma, title case vs. sentence case)
- Formatting conventions (headers, lists, emphasis)
- Number formatting, date formatting
- Acronym usage (defined on first use?)
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.
- 1mo ago First seen · 278 lines · 65 tokens per session scan A 2efcecfc0d6c
brand-review is a skill published in the GitHub repository charlieviettq/awesome-agent-skill (26 stars, last pushed 3mo ago), licensed MIT. It adds 65 tokens to every session and 2,803 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 95% identical to brand-review, differing in 7 lines, and is treated as a copy.
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