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 tdimino/claude-code-minoan --skill user-model-buildergit clone --depth 1 https://github.com/tdimino/claude-code-minoanWrote 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/tdimino/claude-code-minoan/user-model-builder)<a href="https://agentmods.dev/skills/tdimino/claude-code-minoan/user-model-builder"><img src="https://agentmods.dev/badge/skills/tdimino/claude-code-minoan/user-model-builder.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 Rogue Agent · line 3 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Rogue Agent · line 64 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00055 | $0.01310 |
| Opus 5 | $0.00028 | $0.00655 |
| Sonnet 5 | $0.00011 | $0.00262 |
| Haiku 4.5 | $0.00006 | $0.00131 |
Grade A, and why
user-model-builder 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
User Model Builder
Build a complete userModel for $ARGUMENTS following the 7-phase workflow below. Each phase must complete before moving to the next. The output is a folder at ~/.claude/userModels/{name}/ containing a core persona, platform-specific dossiers, a content archive, and INDEX registration.
Phase 1: Discovery
Gather available information about the subject before creating any files.
Determine:
- Relationship to the user (collaborator, partner, observed figure)
- Publishing platforms (Substack, Twitter, blog, LinkedIn)
- Scrapeable content availability — dead domains require Wayback Machine CDX API
- Basic identity: full name, email (
~if unknown), phone (~if unknown), location, primary roles
Ask clarifying questions if the relationship or scope is ambiguous. Proceed autonomously once direction is clear.
Phase 2: Folder & Core Persona
Create the userModel directory and core persona file.
- Create
~/.claude/userModels/{name}/ - Write
{name}Model.mdfollowingreferences/persona-model-template.md - Frontmatter per
references/frontmatter-schema.md—type: user-model,category: persona - Required sections: Persona, Education (if known), Career Timeline, Worldview, Writing Voice (brief), Personal, Online Presence
- Adapt to subject — omit sections that don't apply, add domain-specific sections as needed
Phase 3: Content Scraping & Archive
Scrape all discoverable published content into archive/.
Per platform:
| Platform | Tool | Archive path |
|---|---|---|
| Substack | Firecrawl | archive/substack/YYYY-MM-DD-slug.md |
| Jina (Firecrawl blocks Twitter) | archive/tweets/ |
|
| Dead domains | Wayback CDX API → Firecrawl | archive/{platform}/ |
GDPR export via linkedin-export skill |
archive/linkedin/ |
Wayback discovery:
https://web.archive.org/cdx/search/cdx?url=DOMAIN&output=json&fl=timestamp,original&collapse=urlkey
Each archived file gets frontmatter:
---
title: "Post Title"
date: YYYY-MM-DD
source_url: "https://..."
archived_from: "{platform}"
archive_date: YYYY-MM-DD
---
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 134 lines · 55 tokens per session scan A e6ca60238017
user-model-builder is a skill published in the GitHub repository tdimino/claude-code-minoan (41 stars, last pushed today), licensed MIT. It adds 55 tokens to every session and 1,310 once invoked, about $0.0003 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 2026-08-30.
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