MARVIN is a personal AI assistant built to remember conversations, track goals, organize work, and connect to external applications. People use it as a chief-of-staff-style extension for Claude Code or GitHub Copilot CLI, with integrations including Google Workspace, Microsoft 365, Slack, Linear, Notion, and Telegram. The catalogue entries provide commands, agents, skills, and instructions that define MARVIN's workflows.
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 agentmods add commands/sterlingchin/marvin-template/updategit clone --depth 1 https://github.com/SterlingChin/marvin-templateWrote 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/commands/sterlingchin/marvin-template/update)<a href="https://agentmods.dev/commands/sterlingchin/marvin-template/update"><img src="https://agentmods.dev/badge/commands/sterlingchin/marvin-template/update.svg" alt="Measured on agentmods" 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 | $0.00005 | $0.00437 |
| Opus 5 | $0.00003 | $0.00218 |
| Sonnet 5 | $0.00001 | $0.00087 |
| Haiku 4.5 | $0.00001 | $0.00044 |
Grade A, and why
update 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 5d 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
/update - Quick Context Checkpoint
Lightweight save without ending the session. Use frequently to preserve context.
Instructions
1. Identify What Changed
Quickly scan the recent conversation (since last checkpoint or session start) for:
- Topics worked on
- Decisions made
- Files created or modified
- Any state changes needed
Keep it brief. No full summary needed.
2. Append to Session Log
Get today's date: date +%Y-%m-%d
Append to sessions/{TODAY}.md:
## Update: {TIME}
- {what was worked on, 1-3 bullets}
If file doesn't exist, create with header: # Session Log: {TODAY}
3. Log Decisions (if any)
If decisions were made since the last checkpoint, append each to state/decisions.md:
### {TODAY} - {Decision Title}
**Decision:** {What was decided}
**Context:** {Why}
**Status:** Active
Create the file with header # Decision Log if it doesn't exist.
4. Targeted State Update
Read state/current.md and scan for items related to the current work:
- Mark completed items as done or remove them
- Add new open threads discovered during work
- Shift priorities if something became more or less urgent
- Update "Last updated: {TODAY}" if the file is touched
Only update what's relevant to the current work. Don't rewrite the whole file.
5. Staleness Check
Check the "Last updated" date in state/current.md:
- If 3+ days old: flag it and ask: "State is {N} days stale. Want me to do a full refresh now or at /end?"
- If recent: proceed without comment
6. Confirm (minimal)
One line: "Checkpointed: {brief description}"
No summary. No "next actions" list. Just confirm the save.
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.
- 5d ago First seen · 60 lines · 5 tokens per session scan A 47c84172c200
update is a command published in the GitHub repository SterlingChin/marvin-template (1,017 stars, last pushed 17d ago), licensed MIT. It adds 5 tokens to every session and 437 once invoked, about $0.0000 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 2026-08-30.
Other commands, from other repositories
minutes-ideas
Surface recent voice memos and ideas captured from any device. Use when the user asks "what ideas did I have?", "what were my recent memos?", "what did I record while walking?", or wants to recall a captured thought.
learn
Force claude-smart to extract learnings from this session now.
session-end
I'll summarize this coding session and update the memory system with our accomplishments.
memory-store
Store an insight, decision, or pattern to memory.
cc-memory
Configure persistent memory that survives across sessions using a layered approach: split rule files for always-loaded context, auto-memory for organic learning, and optional MCP-backed long-term memory for large codebases.
analyze-context
USE WHEN you want to analyze project context before starting work on a task. Calls context + recall, then synthesizes goals, decisions, gotchas, and relevant memories into a pre-task brief.