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 hartmut-ux/ai-marketing-team --skill brand-guardiangit clone --depth 1 https://github.com/hartmut-ux/ai-marketing-teamWrote 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/hartmut-ux/ai-marketing-team/brand-guardian)<a href="https://agentmods.dev/skills/hartmut-ux/ai-marketing-team/brand-guardian"><img src="https://agentmods.dev/badge/skills/hartmut-ux/ai-marketing-team/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/skills/hartmut-ux/ai-marketing-team/brand-guardian"><img src="https://agentmods.dev/badge/skills/hartmut-ux/ai-marketing-team/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 | $0.00078 | $0.00254 |
| Opus 5 | $0.00039 | $0.00127 |
| Sonnet 5 | $0.00016 | $0.00051 |
| Haiku 4.5 | $0.00008 | $0.00025 |
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 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.
What it actually says
Brand Guardian — Claude Code wrapper
This is the Claude Code wrapper for brand-guardian. The full skill definition lives in shared/SKILL-CORE.md in the same skill folder.
When to use
Use when the user asks for:
brand-guardian- "run brand-guardian"
- Any trigger described in the core skill
How to invoke
In Claude Code:
brand-guardian
Instructions
- Read
shared/SKILL-CORE.mdfor the platform-agnostic workflow, rules, and examples. - Execute the workflow using Claude Code tools.
- Load any referenced files from
shared/or subdirectories relative to this skill folder.
References
shared/SKILL-CORE.md— full skill definition
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 · 34 lines · 78 tokens per session scan A ec207b8b031c
brand-guardian is a skill published in the GitHub repository hartmut-ux/ai-marketing-team (11 stars, last pushed 2mo ago), licensed MIT. It adds 78 tokens to every session and 254 once invoked, about $0.0004 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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