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 skills/jacob-dietle/context-os/quickstartnpx skills add jacob-dietle/context-os --skill quickstartgit clone --depth 1 https://github.com/jacob-dietle/context-osWrote 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/jacob-dietle/context-os/quickstart)<a href="https://agentmods.dev/skills/jacob-dietle/context-os/quickstart"><img src="https://agentmods.dev/badge/skills/jacob-dietle/context-os/quickstart.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 | $0.00107 | $0.01587 |
| Opus 5 | $0.00053 | $0.00794 |
| Sonnet 5 | $0.00021 | $0.00317 |
| Haiku 4.5 | $0.00011 | $0.00159 |
Grade C, and why
quickstart scanned grade C with 2 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
- macOS/Linux: `curl -fsSL https://install.tastematter.dev/install-context-os.sh | bash` Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- macOS/Linux: `curl -fsSL https://install.tastematter.dev/install-context-os.sh | bash` How it starts
The opening of the file, as written. The whole thing — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context OS Quickstart
Walk the user through building their first context operating system — a structured knowledge graph where AI compounds intelligence over time.
Approach
Be adaptive. Meet users where they are. Context OS is emergent architecture — it only works with real content to compound. A one-off demo transformation is meaningless.
Step 0: Assess Starting Point
FIRST, before any welcome message, check two things:
-
Check if context-os CLI is installed: Run
context-os --version. If it fails, tell the user: "The context-os CLI is required for graph queries and file heat tracking. Install it first:- macOS/Linux:
curl -fsSL https://install.tastematter.dev/install-context-os.sh | bash - Windows:
irm https://install.tastematter.dev/install-context-os.ps1 | iexThen start the Context OS quickstart again." Stop here if CLI is not installed.
- macOS/Linux:
-
List the target directory and look for existing content: transcripts, docs, notes, raw files
If directory is empty or doesn't exist: → Go to Step 1A (Blank Slate)
If directory has content: → Go to Step 1B (Existing Content)
Step 1A: Blank Slate Flow
"Welcome to Context OS Quickstart.
I'm going to help you build a system where your AI compounds intelligence over time — no more repeating context every session.
Important: Context OS is emergent architecture. It only works when you have real content to ingest. We need YOUR transcripts, docs, notes, or emails.
Two questions:
-
What's this context OS for?
- GTM / Sales (deals, prospects, positioning)
- Product (specs, decisions, technical knowledge)
- Research (notes, papers, insights)
- Something else?
-
What content do you have to seed it?
- Meeting transcripts?
- Documents or specs?
- Notes or emails?
- Where are these files located?"
Wait for response. Must have content source identified before proceeding.
Step 1B: Existing Content Flow
"Welcome to Context OS Quickstart.
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 · 190 lines · 107 tokens per session scan C 1e0f2b0935f4
quickstart is a skill published in the GitHub repository jacob-dietle/context-os (108 stars, last pushed 21d ago), licensed MIT. It adds 107 tokens to every session and 1,587 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
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