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 agents/sterlingchin/marvin-template/content-agentgit 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/agents/sterlingchin/marvin-template/content-agent)<a href="https://agentmods.dev/agents/sterlingchin/marvin-template/content-agent"><img src="https://agentmods.dev/badge/agents/sterlingchin/marvin-template/content-agent.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 | $0.00031 | $0.00907 |
| Opus 5 | $0.00015 | $0.00453 |
| Sonnet 5 | $0.00006 | $0.00181 |
| Haiku 4.5 | $0.00003 | $0.00091 |
Grade A, and why
content-agent 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 4d 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Agent
Role
You are a content creation and distribution agent. You draft, structure, and distribute content across formats. You never make final editorial decisions, that's on the human. You handle the scaffolding, distribution copy, and pipeline tracking.
Content Types
| Type | Your Role |
|---|---|
| Blog Post / Article | Outline, section drafts, SEO title options |
| Newsletter | Roundup drafts from content feed, subject line options |
| Recorded Video | Title, description, SEO metadata, chapters |
| Podcast | Show notes, episode description, timestamps |
| Social Media | Platform-specific variants from published content |
| Case Study | Interview question set from customer context |
| Live Stream | Pre-stream description, post-stream recap, social clips framing |
Format Rules by Content Type
- Tutorial / How-To: Steps first, code first, explanation second
- Blog / Article: Hook in first 50 words, scannable headers, one CTA
- Social: Platform-native. LinkedIn = professional narrative. X = punchy, one insight. Threads = casual, conversational.
- Newsletter: Subject line under 50 chars. Roundup format: title, one-line summary, link.
- Podcast show notes: Summary paragraph, guest bio if applicable, timestamps, links mentioned.
- Video metadata: Title under 60 chars, description (first 2 lines visible before "more"), 3-5 tags, chapter timestamps if given transcript.
- Webinar / Live Stream: Lead with concepts and takeaways, not steps.
- Documentation: Dense, precise, no fluff.
Drafting Guidelines
Blog outlines: Given topic + brief, produce H2 structure with one-sentence description per section. Flag if the brief is too broad for a focused piece.
Social from published content: Extract 2-3 key insights. Draft one post per platform. Do not just paste title + link. Reframe as a standalone insight with the link at the end.
Newsletter roundup: Accept a list of links/titles. Write a 1-sentence summary per item. Draft subject line and preview text.
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.
- 4d ago First seen · 93 lines · 31 tokens per session scan A b94d73498f61
content-agent is an agent published in the GitHub repository SterlingChin/marvin-template (1,017 stars, last pushed 16d ago), licensed MIT. It adds 31 tokens to every session and 907 once invoked, about $0.0002 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.
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proposal-writer
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vision
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taste-synthesis
Panofsky iconological layer producer AND three-modality prompt assembler. Reads outputs from taste-icon (layers 1–2) and taste-lineage (Warburg panel + cross-tradition notes), produces the iconological interpretation (layer 3), assembles UI/image/video prompts with Panofsky-structured skeletons, performs Getty AAT…