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 OpenClaudia/openclaudia-skills --skill brand-researchgit clone --depth 1 https://github.com/OpenClaudia/openclaudia-skillsWrote 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/openclaudia/openclaudia-skills/brand-research)<a href="https://agentmods.dev/skills/openclaudia/openclaudia-skills/brand-research"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/brand-research/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/openclaudia/openclaudia-skills/brand-research"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/brand-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 19 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00051 | $0.00703 |
| Opus 5 | $0.00026 | $0.00351 |
| Sonnet 5 | $0.00010 | $0.00141 |
| Haiku 4.5 | $0.00005 | $0.00070 |
Grade A, and why
brand-dev scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "https://api.brand.dev/v1/brand/retrieve?domain=${DOMAIN}" \ How it starts
The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand.dev Skill
Fetch brand data from the brand.dev API and save logos locally for serving.
Step 1: Get the Domain
Extract the target domain from the user's input. Strip protocol and trailing slashes (e.g., "https://example.com/" -> "example.com").
Step 2: Fetch Brand Info
# BRANDDEV_API_KEY must be set in your environment
curl -s "https://api.brand.dev/v1/brand/retrieve?domain=${DOMAIN}" \
-H "Authorization: Bearer ${BRANDDEV_API_KEY}" \
-H "Content-Type: application/json"
Extract from the response:
- Brand name (
.brand.titleor.brand.name) - Description (
.brand.description) - Logo URLs (from
.brand.logos[]) — prefer icon/square logos for card layouts, full logos for headers - Industry/category if available
Step 3: Download Logos Locally
ALWAYS download logos locally for serving. Never reference external media.brand.dev URLs in production code — they can change or go down.
Where to save
The save location depends on the project. Look for existing patterns:
- Next.js / static sites:
public/logos/<context>/(served as/logos/<context>/) - Other web projects: check for existing
static/,assets/,images/, orpublic/directories - If no convention exists: create a
logos/directory under the project's static asset root
Naming Convention
<brand-slug>.<ext>where:<brand-slug>is the lowercase brand name, spaces replaced by hyphens (e.g.,miss-anotmiss_a)<ext>matches the original file extension (png, webp, jpg, svg)
- Optionally group by context subdirectory (e.g.,
partners/,customers/) if the project has multiple logo collections
Download Command
mkdir -p <logo-dir>
curl -sL "<logo-url>" -o "<logo-dir>/<brand-slug>.<ext>"
Verify Download
ls -la <logo-dir>/<brand-slug>.<ext>
Step 4: Return Results
Provide the user with:
- Brand name
- Description
- Industry
- Local logo path — the path to use in code (relative to the project's static root)
- Original source URL (for reference only)
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.
- 13d ago First seen · 74 lines · 51 tokens per session scan A 08168c58910f
brand-dev is a skill published in the GitHub repository OpenClaudia/openclaudia-skills (689 stars, last pushed today), licensed MIT. It adds 51 tokens to every session and 703 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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