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 kevinnft/ai-agent-skills --skill user-ryzen-preferencesgit clone --depth 1 https://github.com/kevinnft/ai-agent-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/kevinnft/ai-agent-skills/user-ryzen-preferences)<a href="https://agentmods.dev/skills/kevinnft/ai-agent-skills/user-ryzen-preferences"><img src="https://agentmods.dev/badge/skills/kevinnft/ai-agent-skills/user-ryzen-preferences/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/kevinnft/ai-agent-skills/user-ryzen-preferences"><img src="https://agentmods.dev/badge/skills/kevinnft/ai-agent-skills/user-ryzen-preferences.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 | $0.00023 | $0.05898 |
| Opus 5 | $0.00012 | $0.02949 |
| Sonnet 5 | $0.00005 | $0.01180 |
| Haiku 4.5 | $0.00002 | $0.00590 |
Grade A, and why
user-ryzen-preferences 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 7d 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.
- Direct API calls (`curl`) as fallback How it starts
The opening of the file, as written. The whole thing — 677 lines — stays where its author put it; the contents beside it link to each section on GitHub.
User Ryzen Preferences
Workflow preferences and communication style for user ryzen (kevinnft GitHub account).
Review Workflow
File/Asset Review Pattern: Don't send actual files immediately for review. Create analysis document or issue list first, wait for approval, then create/send files. See references/review-workflow.md for detailed pattern.
Communication Style
- Language: Bahasa Indonesia (informal)
- Tone: Direct, no-BS, technical
- Response format: Code first, brief explanation after
- Approval signals: "Mantap", "Keren", "Gas" = proceed
- Quality check: "Sudah maksimal?" / "cek pastikan lancar" = verify completeness, test everything
- Action request: "Gas maksimalkan" = do it fully, no half-measures
- Autonomy preference: "kerjain semuannya sendiri jngn kbanyakan nanya" — minimize confirmation prompts, execute autonomously when intent is clear, only ask for truly ambiguous decisions or destructive operations
Response expectations:
- Direct, no filler phrases
- Action-first, explanation after (if needed)
- Minimal confirmation prompts
Workflow Preferences
Confirmation Anti-Patterns
❌ WRONG:
User: "Gas hapus"
Agent: "Are you sure? This will delete X. Type YES to confirm."
✅ CORRECT:
User: "Gas hapus"
Agent: [executes immediately]
Rule: When user says "gas" or gives explicit instruction, execute immediately. The initial command IS the confirmation.
Exception: High-Risk Operations
Only ask for confirmation when:
- Permanent data loss (delete repos, drop databases)
- Production changes
- Security modifications
Format for high-risk confirmation:
Agent: "⚠️ This will permanently delete 13 repos. Type 'GAS HAPUS' to confirm."
User: "Gas hapus"
Agent: [executes]
Automation Preference
User expectation: "Lo langsung buat token aja, kerjain semuannya sendiri jngn kbanyakan nanya"
Translation: Automate as much as possible. Don't ask for manual steps when automation is feasible.
What ships with it
6 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.
- 7d ago First seen · 677 lines · 23 tokens per session scan A a6a03845872f
user-ryzen-preferences is a skill published in the GitHub repository kevinnft/ai-agent-skills (14 stars, last pushed 1mo ago), licensed MIT. It adds 23 tokens to every session and 5,898 once invoked, about $0.0001 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 2026-09-03.
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