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 omnigentx/jarvis --skill personal-assistantgit clone --depth 1 https://github.com/omnigentx/jarvisWrote 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/omnigentx/jarvis/personal-assistant)<a href="https://agentmods.dev/skills/omnigentx/jarvis/personal-assistant"><img src="https://agentmods.dev/badge/skills/omnigentx/jarvis/personal-assistant/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/omnigentx/jarvis/personal-assistant"><img src="https://agentmods.dev/badge/skills/omnigentx/jarvis/personal-assistant.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 | $0.00043 | $0.00455 |
| Opus 5.5 | $0.00017 | $0.00182 |
| Sonnet 5.5 | $0.00009 | $0.00091 |
| Haiku 4.5 | $0.00004 | $0.00046 |
Grade A, and why
personal-assistant 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 1mo 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.
What it actually says
CALENDAR & EMAIL MANAGEMENT
Decision Tree
What does the user want?
├── View calendar → calendar_list_events(timeMin, timeMax)
├── Create event/meeting → calendar_create_event(summary, start, end)
│ └── Need Meet link? → Auto-created with event
├── Delete event → (1) list_events → (2) get eid → (3) delete_event(eid)
├── Send email → gmail_send(to, subject, body)
├── Read email → gmail_list() → gmail_read(id)
└── Reminder → use cron_create (see the cron-management skill)
└── cron_create with exec_mode="reminder"
└── DO NOT use Google Calendar for reminders. Use the cron scheduler.
Delete Event — Workflow
calendar_list_events→ find the event- Get
eidfrom URL (part aftereid=) calendar_delete_event(eid)- Call list_events ONLY ONCE → DELETE immediately
✅ Correct Examples
- "Created meeting 'Sprint Review' at 2pm Monday March 17."
- "Deleted event 'Team Meeting' tomorrow."
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.
- 1mo ago First seen · 52 lines · 43 tokens per session scan A 06361e97231b
personal-assistant is a skill published in the GitHub repository omnigentx/jarvis (39 stars, last pushed 11d ago), licensed MIT. It adds 43 tokens to every session and 455 once invoked, about $0.0002 per session on Opus 5.5. 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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