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 oyi77/1ai-skills --skill vilonagit clone --depth 1 https://github.com/oyi77/1ai-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/oyi77/1ai-skills/vilona)<a href="https://agentmods.dev/skills/oyi77/1ai-skills/vilona"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/vilona/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/oyi77/1ai-skills/vilona"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/vilona.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00018 | $0.03998 |
| Opus 5 | $0.00009 | $0.01999 |
| Sonnet 5 | $0.00004 | $0.00800 |
| Haiku 4.5 | $0.00002 | $0.00400 |
Grade A, and why
vilona 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 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.
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 — 401 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vilona Skill
When to Use
Trigger phrases: Trigger phrases:
- "vilona"
- "Help me with vilona"
Use cases:
- When the task matches this skill's domain expertise
When NOT to use:
- For tasks outside this skill's scope
When NOT to Use
- When the task can be solved with existing standard libraries
- When the infrastructure is already in place and working
- When the added complexity does not provide measurable benefit
Overview
Vilona is a foundational core infrastructure skill that provides system foundation capabilities for the agent ecosystem.
Architecture
- Input layer — Receives and validates incoming requests
- Processing layer — Core logic for system foundation
- Output layer — Formats and delivers results
- State management — Maintains context across invocations
Configuration
- Set up required environment variables and paths
- Configure logging level and output format
- Define resource limits (memory, time, API calls)
- Enable/disable features via configuration flags
Integration
- Exposes standard interfaces for other skills to consume
- Supports event-driven and request-response patterns
- Compatible with the 1ai-skills hook system
- Logs metrics for the skill performance monitor
Money-Making Overview
Vilona's brain and entity memory system is the persistence layer that turns short-lived agent sessions into an accumulating knowledge asset. This has direct monetization value:
| Opportunity | Revenue Model | Investment |
|---|---|---|
| Brain-save-as-a-service for multi-agent teams | $20-50/mo per seat — persist cross-session context so agents never start blank | Low (wrap existing MCP tools in a subscription tier) |
| Custom entity management dashboard | $2K-5K build + $200/mo hosted — visual entity graph with search, drift detection, archival | Medium |
| Memory audit & compaction consulting | $500-2K per engagement — diagnose stale entity structures, optimize config, recover lost context | Low |
| Offline-first memory sync for air-gapped deployments | $5K-10K license — vilona entity protocol running on disconnected networks with periodic sync | High |
| Agent onboarding package — entity mapping + brain rules + session hooks | $1K-3K flat — set up 10-20 entities, configure brain tiers, install auto-save hooks | Medium |
| Memory health SLA — weekly brain audits, entity compaction, drift reports | $500-1K/mo recurring — automated monitoring with human-in-the-loop review | Low |
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 · 401 lines · 18 tokens per session scan A b04b3a41054c
vilona is a skill published in the GitHub repository oyi77/1ai-skills (12 stars, last pushed today), licensed MIT. It adds 18 tokens to every session and 3,998 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 2026-09-04.
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