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 varie-ai/varie-claude-avatar --skill listgit clone --depth 1 https://github.com/varie-ai/varie-claude-avatarWrote 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/varie-ai/varie-claude-avatar/list)<a href="https://agentmods.dev/skills/varie-ai/varie-claude-avatar/list"><img src="https://agentmods.dev/badge/skills/varie-ai/varie-claude-avatar/list/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/varie-ai/varie-claude-avatar/list"><img src="https://agentmods.dev/badge/skills/varie-ai/varie-claude-avatar/list.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 | $0.00911 |
| Opus 5 | $0.00000 | $0.00456 |
| Sonnet 5 | $0.00000 | $0.00182 |
| Haiku 4.5 | $0.00000 | $0.00091 |
Grade A, and why
list 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 11d 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://varie.ai/api/character-create/public/discover?limit=20" How it starts
The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
List Available Characters
Browse and discover Varie characters for your Claude Code companion.
Instructions
Step 1: Understand what the user wants
If the user provided a preference (e.g., "I want a calm character", "something fantasy"), note it for matching. If not, ask:
What kind of companion are you looking for? For example: a genre (fantasy, sci-fi, modern), a vibe (calm, energetic, mysterious), or just "surprise me" to see what's available.
Step 2: Fetch characters with pagination
Fetch the first page:
curl -s "https://varie.ai/api/character-create/public/discover?limit=20"
The response shape:
{
"characters": [
{
"id": "soren_cb3333dd3e3f",
"name": "Soren",
"tagline": "A mysterious wanderer with ancient secrets",
"quotes": [
"The stars remember what mortals forget.",
"Every path leads somewhere worth going.",
"Silence speaks louder than you think."
],
"genre": "fantasy",
"pronouns": "he/him",
"personalityTags": ["mysterious", "wise", "calm"],
"publicModel": { "status": "full_ready" }
}
],
"pagination": {
"limit": 20,
"hasMore": true,
"nextCursor": "5"
}
}
Pagination: If pagination.hasMore is true and you haven't found a good match for the user's preference, fetch the next page:
curl -s "https://varie.ai/api/character-create/public/discover?limit=20&cursor=<nextCursor>"
Continue fetching pages until you find good matches or there are no more pages. Collect all fetched characters before presenting results.
Step 3: Present results
If the user has a preference: Filter and rank characters by matching personalityTags, genre, tagline, and pronouns against what the user described. Present your top 3-5 recommendations with reasoning:
For each recommended character, pick a random quote from their quotes array (if available). Present the quote as an attribution — no field labels:
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.
- 11d ago First seen · 104 lines · 0 tokens per session scan A d1756735924e
list is a skill published in the GitHub repository varie-ai/varie-claude-avatar (11 stars, last pushed 7mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 911 tokens. 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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