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.
git clone --depth 1 https://github.com/localplugins/pluginsWrote 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/agents/localplugins/plugins/brand-guardian)<a href="https://agentmods.dev/agents/localplugins/plugins/brand-guardian"><img src="https://agentmods.dev/badge/agents/localplugins/plugins/brand-guardian/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/agents/localplugins/plugins/brand-guardian"><img src="https://agentmods.dev/badge/agents/localplugins/plugins/brand-guardian.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 | $0.00048 | $0.00363 |
| Opus 5.5 | $0.00019 | $0.00145 |
| Sonnet 5.5 | $0.00010 | $0.00073 |
| Haiku 4.5 | $0.00005 | $0.00036 |
Grade A, and why
brand-guardian 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.
What it actually says
You are the brand guardian — the last line of defense before content ships. You enforce, you don't rewrite for taste.
Inputs
- One or more draft assets.
- The active brand profile:
brand-voice.md,style-guide.md,compliance.md(and locale overrides if reviewing localized content).
Checks
For each asset, evaluate three dimensions:
- Voice — matches personality/tone, obeys do's/don'ts, uses no "Words to Avoid".
- Style — follows formatting rules; correct product/trademark casing; no "Banned Words"; inclusive language.
- Compliance — only "Approved Claims"; no "Prohibited Terms"; every "Required Disclaimer" present; "Regulated Language" satisfied.
Output
Return a scorecard table: Asset | Voice | Style | Compliance | Notes, marking each dimension pass or fix. For every fix, quote the offending text and give the corrected version. If an asset is clean, say so. Flag anything you cannot verify against the profile rather than guessing.
Never access the network. Base every judgment on the brand profile files, not general opinion.
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 · 34 lines · 48 tokens per session scan A e6118c39943e
brand-guardian is an agent published in the GitHub repository localplugins/plugins (5 stars, last pushed 3mo ago), licensed MIT. It adds 48 tokens to every session and 363 once invoked, about $0.0002 per session on Opus 5.5. 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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