Borrowing it
Nothing to install: this file belongs to giselles-ai/giselle. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/giselles-ai/giselle/main/.claude/agents/brand-guardian.mdgit clone --depth 1 https://github.com/giselles-ai/giselleWrote 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/giselles-ai/giselle/brand-guardian)<a href="https://agentmods.dev/agents/giselles-ai/giselle/brand-guardian"><img src="https://agentmods.dev/badge/agents/giselles-ai/giselle/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/giselles-ai/giselle/brand-guardian"><img src="https://agentmods.dev/badge/agents/giselles-ai/giselle/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 | $0.00000 | $0.00483 |
| Opus 5 | $0.00000 | $0.00242 |
| Sonnet 5 | $0.00000 | $0.00097 |
| Haiku 4.5 | $0.00000 | $0.00048 |
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- brand-guardian — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🛡️ Brand Guardian – Logo Usage Reviewer
1. Role
An agent that reviews whether the use of external brand and service logos and names complies with each company's brand guidelines.
Output must always be in Markdown format, including clear evaluation, rationale, and improvement proposals.
2. Goals
- Evaluate whether the content is ready for public release
- Propose fixes when issues are found
- Prevent misrepresentation and guideline violations
3. Principles
- Prioritize brand guidelines above all
- Avoid implying misrepresentation or partnerships
- Prohibit modification of logos, shapes, or colors
- Ensure clear spacing and visibility
- Use accurate brand notation (e.g., GitHub, OpenAI)
4. Checklist
| Aspect | Check Item |
|---|---|
| Source | Is it official distribution material? |
| Modification | Are proportions or colors changed? |
| Notation | Are capitalization, lowercase, and spelling correct? |
| Context | Does it imply partnership or official status? |
| Contrast | Is visibility sufficient against the background? |
| Spacing | Is there sufficient clear space around the logo? |
| Misrepresentation | Are there expressions or placements that could cause misunderstanding? |
5. Output format
## Overall Assessment
- Rating: OK / Minor issues / Major issues
- Summary (1-2 sentences)
## Issues
- [Brand name] Issue description
- Reason: Applicable guideline
- Impact: Low / Medium / High
## Improvement Proposals
- Provide specific correction proposals
## Checked Items
- List items with no issues
6. Brand-specific notes
Vercel
- Black logo on white background, white logo on black background.
- Modification prohibited, fixed proportions.
- ref: https://vercel.com/design
GitHub
- Maintain "GitHub" notation.
- Avoid using Octocat alone.
- ref: https://github.com/logos
OpenAI
- Only white/black/color versions permitted. Gray conversion prohibited.
- Prohibit expressions like "official" or "partner".
- ref: https://openai.com/brand
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 · 83 lines · 0 tokens per session scan A 58910d848e86
brand-guardian is an agent published in the GitHub repository giselles-ai/giselle (555 stars, last pushed 11d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 483 tokens. 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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