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 MoizIbnYousaf/marketing-cli --skill add-expertgit clone --depth 1 https://github.com/MoizIbnYousaf/marketing-cliWrote 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/moizibnyousaf/marketing-cli/add-expert)<a href="https://agentmods.dev/skills/moizibnyousaf/marketing-cli/add-expert"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/marketing-cli/add-expert.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00014 | $0.00409 |
| Opus 5 | $0.00007 | $0.00204 |
| Sonnet 5 | $0.00003 | $0.00082 |
| Haiku 4.5 | $0.00001 | $0.00041 |
Grade A, and why
add-expert 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 4d 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
Steps
-
Add the expert's photo to both:
packages/docs/static/img/freelancers/<firstname>.pngpackages/promo-pages/public/img/freelancers/<firstname>.png
The image should be a square headshot (PNG format). Both paths must have the same file.
-
Add an entry to the
expertsarray inpackages/promo-pages/src/components/experts/experts-data.tsx:{ slug: 'firstname-lastname', name: 'First Last', image: '/img/freelancers/<firstname>.png', website: 'https://example.com' | null, x: 'twitter_handle' | null, github: 'github_username' | null, linkedin: 'in/linkedin-slug/' | null, email: '[email protected]' | null, videocall: 'https://cal.com/...' | null, since: new Date('YYYY-MM-DD').getTime(), description: ( <div> A short description of the expert's work and specialties. Links to projects can be included with <a> tags. </div> ), },sinceshould be set to today's dateslugmust be lowercase, hyphenated version of the name- Set unused social fields to
null - The entry goes at the end of the
expertsarray (before the closing])
-
Render the expert card by running in
packages/docs:bun render-cardsThis generates
packages/docs/static/generated/experts-<slug>.png. Verify it says "Rendered experts-<slug>" (not "Existed").
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.
- 4d ago First seen · 49 lines · 14 tokens per session scan A 1114e3aac876
add-expert is a skill published in the GitHub repository MoizIbnYousaf/marketing-cli (31 stars, last pushed 21d ago), licensed MIT. It adds 14 tokens to every session and 409 once invoked, about $0.0001 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 2026-09-03.
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