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 ailabs-393/ai-labs-claude-skills --skill personal-assistantgit clone --depth 1 https://github.com/ailabs-393/ai-labs-claude-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/ailabs-393/ai-labs-claude-skills/personal-assistant)<a href="https://agentmods.dev/skills/ailabs-393/ai-labs-claude-skills/personal-assistant"><img src="https://agentmods.dev/badge/skills/ailabs-393/ai-labs-claude-skills/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/ailabs-393/ai-labs-claude-skills/personal-assistant"><img src="https://agentmods.dev/badge/skills/ailabs-393/ai-labs-claude-skills/personal-assistant.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00091 | $0.04464 |
| Opus 5.5 | $0.00036 | $0.01786 |
| Sonnet 5.5 | $0.00018 | $0.00893 |
| Haiku 4.5 | $0.00009 | $0.00446 |
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 2mo 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 — 688 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Personal Assistant
Overview
This skill transforms Claude into a comprehensive personal assistant with persistent memory of user preferences, schedules, tasks, and context. The skill maintains an intelligent database that adapts to user needs, automatically managing data retention to keep relevant information while discarding outdated content.
When to Use This Skill
Invoke this skill for personal assistance queries, including:
- Task management and to-do lists
- Schedule and calendar management
- Reminder setting and tracking
- Habit monitoring and productivity tips
- Time management and planning
- Personal goal tracking
- Routine optimization
- Preference-based recommendations
- Context-aware assistance
Workflow
Step 1: Check for Existing Profile
Before providing any personalized assistance, always check if a user profile exists:
python3 scripts/assistant_db.py has_profile
If the output is "false", proceed to Step 2 (Initial Setup). If "true", proceed to Step 3 (Load Profile and Context).
Step 2: Initial Profile Setup (First Run Only)
When no profile exists, collect comprehensive information from the user. Use a conversational, friendly approach to gather this data.
Essential Information to Collect:
-
Personal Details
- Name and preferred form of address
- Timezone
- Location (city/country)
-
Schedule & Working Habits
- Typical work hours
- Work schedule type (9-5, flexible, shift work, etc.)
- Preferred working times (morning person vs night owl)
- Break preferences
- Meeting preferences
-
Goals & Priorities
- Short-term goals (next 1-3 months)
- Long-term goals (6+ months)
- Priority areas (career, health, relationships, learning, etc.)
- Success metrics
-
Habits & Routines
- Morning routine
- Evening routine
- Exercise habits
- Sleep schedule
- Meal times
-
Preferences & Communication Style
- Communication preference (detailed vs concise)
- Reminder style (gentle vs firm)
- Notification preferences
- Task organization style (by priority, category, time, etc.)
What ships with it
5 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.
- 2mo ago First seen · 688 lines · 91 tokens per session scan A 2814dd9f8dd1
personal-assistant is a skill published in the GitHub repository ailabs-393/ai-labs-claude-skills (460 stars, last pushed 11mo ago), licensed MIT. It adds 91 tokens to every session and 4,464 once invoked, about $0.0004 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.
Other skills, from other repositories
orbit-notion
Open Orbit briefing skill — selected by the Orbit pipeline when Notion is the user's only connected connector, or when the user explicitly scopes their daily digest to Notion. Pulls the past 24 hours of document edits, comments, mentions, and database row changes from the user's authenticated Notion connection and…
agentmail
Use your assigned AgentMail inbox to read email tasks, explicitly send or reply, and check delivery. Provided automatically by your inbox assignment.
Cortex
LifeOS memory, prior-session recall, and learning capture. USE WHEN capture this learning, document this learning, what did we learn recently, recent learnings, cortex, knowledge, knowledge base, search knowledge, what do we know about, archive, harvest, knowledge status, develop note, add to knowledge, add a people…
rowboat-spaces
How to work as a member of Rowboat Spaces, the team chat where people and agents work together. Load it once per session, before acting on any request that reaches you from Rowboat; it covers your setup, mentions and hand-offs, the tools, and files.
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
pinchtab-mcp
Use this skill when a task requires browser automation through PinchTab's MCP server connected to a remote browser instance. Covers navigation, element interaction, data extraction, form filling, multi-step flows, and session management via MCP tools.