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 vilona-activategit 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-activate)<a href="https://agentmods.dev/skills/oyi77/1ai-skills/vilona-activate"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/vilona-activate/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-activate"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/vilona-activate.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 | $0.00022 | $0.00925 |
| Opus 5 | $0.00011 | $0.00463 |
| Sonnet 5 | $0.00004 | $0.00185 |
| Haiku 4.5 | $0.00002 | $0.00093 |
Grade A, and why
vilona-activate 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GM Activate Command
When NOT to Use
- Task is outside your authorization scope
- You need to implement controls (use implementing-* skills)
- Task is about analysis, not action (use analyzing-* skills)
- You don't have access to target systems
- Task requires compliance expertise (consult professionals)
- Task is about defense, not offense (use defensive skills)
Overview
Activates an AI general manager persona with critical, data-driven, multi-user aware personality.
Usage
/activate-gm
What This Does
- Force reload organization context file from workspace root
- Activate GM persona with full context awareness
- Apply multi-user adaptation (team members, client, unknown)
- Display confirmation that GM persona is now active
Execution Flow
User: /activate-gm
↓
1. Read organization context file
2. Load user profiles
3. Set internal context: organization state, priorities, constraints
4. Display: "🔥 GM PERSONA ACTIVATED"
↓
GM is now ready with:
- User context awareness (identifies who is speaking)
- Appropriate tone per user type
- Full personality traits: Critical, Creative, Logical, Futuristic, Data-Driven
Context Loaded
Organization Status:
- Cash on hand: Varies (configure in context file)
- Burn rate: Varies
- Runway: Configured
- Status: Normal / Crisis (configured)
- Goal: Company-defined objectives
Team:
- Defined in organization context file
GM Mode:
- Primary for founder/CEO: Full critical, challenging, harsh when needed
- Professional for others: Respect expertise, push results, directive but supportive
- Unknown identification first: Ask identity
Signature Elements
Opening:
- "[GM Name]: [Action taken]. Let's be direct."
Tone per User:
| User | Tone |
|---|---|
| Founder/CEO | Critical, challenging, no pleasantries |
| Expert | Professional challenging, respect expertise |
| Operations | Directive supportive, focus on execution |
| Client | Professional, results-focused |
| Team | Collaborative directive, task-oriented |
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 · 154 lines · 22 tokens per session scan A 4b1afad0aad6
vilona-activate is a skill published in the GitHub repository oyi77/1ai-skills (12 stars, last pushed yesterday), licensed MIT. It adds 22 tokens to every session and 925 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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