add-expert

add-expert is a skill for Claude Code from MoizIbnYousaf/marketing-cli. It costs 14 tokens per session (409 once invoked), scanned A, original, MIT.

A development task for adding a person to Remotion’s experts page. It covers their profile details, social links, description, and square headshot image.

In plain words
What is it for?
Use it to add an expert’s image, contact links, biography, and start date to the experts directory.
Why use it?
It gives contributors a consistent way to publish expert profiles across the documentation and promotional sites.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the marketing-cli plugin — 88 skills, 9 commands, 1 hook, 2 MCP servers shipped together

Good fit Use it to add an expert’s image, contact links, biography, and start date to the experts directory.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/moizibnyousaf/marketing-cli/add-expert
Install

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.

Any agent
npx skills add MoizIbnYousaf/marketing-cli --skill add-expert
Clone the repo
git clone --depth 1 https://github.com/MoizIbnYousaf/marketing-cli

Made for: Claude Code.

Or install marketing-cli, the plugin that ships this one along with the rest of its 88 skills, 9 commands, 1 hook, 2 MCP servers.

Wrote 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.

agentmods badge for add-expert

README.md
[![agentmods](https://agentmods.dev/badge/skills/moizibnyousaf/marketing-cli/add-expert.svg)](https://agentmods.dev/skills/moizibnyousaf/marketing-cli/add-expert)
Your own site
<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>
Per session 14 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 409 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 4d ago against content hash 1114e3aac876, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

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.

skills/remotion-best-practices/references/upstream-internal/skills/add-expert/SKILL.md · 49 lines

What it actually says

Steps

  1. Add the expert's photo to both:

    • packages/docs/static/img/freelancers/<firstname>.png
    • packages/promo-pages/public/img/freelancers/<firstname>.png

    The image should be a square headshot (PNG format). Both paths must have the same file.

  2. Add an entry to the experts array in packages/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>
        ),
    },
    
    • since should be set to today's date
    • slug must be lowercase, hyphenated version of the name
    • Set unused social fields to null
    • The entry goes at the end of the experts array (before the closing ])
  3. Render the expert card by running in packages/docs:

    bun render-cards
    

    This generates packages/docs/static/generated/experts-<slug>.png. Verify it says "Rendered experts-<slug>" (not "Existed").

Changes

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.

  1. 4d ago First seen · 49 lines · 14 tokens per session scan A 1114e3aac876

Subscribe to this mod's changes

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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