Borrowing it
Nothing to install: this file belongs to jacob-dietle/context-os. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/jacob-dietle/context-os/main/CLAUDE.mdgit 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/instructions/jacob-dietle/context-os/claude-md)<a href="https://agentmods.dev/instructions/jacob-dietle/context-os/claude-md"><img src="https://agentmods.dev/badge/instructions/jacob-dietle/context-os/claude-md/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/instructions/jacob-dietle/context-os/claude-md"><img src="https://agentmods.dev/badge/instructions/jacob-dietle/context-os/claude-md.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00675 | $0.00675 |
| Opus 5.5 | $0.00270 | $0.00270 |
| Sonnet 5.5 | $0.00135 | $0.00135 |
| Haiku 4.5 | $0.00068 | $0.00068 |
Grade A, and why
context-os CLAUDE.md 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GTM Context OS Quickstart
Purpose: Help users build their first context operating system in 10 minutes.
What This Plugin Does
Provides guided setup for creating a Context OS — a structured knowledge graph where AI compounds intelligence over time. The system uses stigmergic coordination: agents read and modify the shared environment, knowledge compounds through use.
Skills
Claude Code discovers and fires these based on intent — no slash commands needed.
| Skill | When it fires |
|---|---|
quickstart |
User wants 10-minute guided setup of a new Context OS |
ingest |
User wants raw content (transcripts, docs, notes) turned into knowledge nodes |
context-os-basics |
Foundation patterns for Context OS |
context-os-cli |
Query work context, file activity, heat metrics, and graph structure |
context-gap-analysis |
Check what already exists before building |
epistemic-context-grounding |
Ground decisions in domain knowledge before designing |
eval-loop |
Iterate systematically toward a quality target with automated backpressure |
coordinated-agent-teams |
Decompose a spec into a multi-agent implementation plan |
Quick Start
Say "run the quickstart" to begin — the quickstart skill fires. The guide will:
- Ask what your context OS is for (GTM, Product, Research)
- Create the two-layer directory structure (knowledge graph + operational docs)
- Generate CLAUDE.md navigation guide with context-os CLI commands
- Process your first piece of content into a structured knowledge node
- Verify it works
Total time: ~10 minutes
How Context OS Works
Two-Layer Architecture
Knowledge Graph (knowledge_base/)
- Atomic, reusable concepts with frontmatter metadata
- Linked via [[wiki-links]] — the graph has structure
- Lifecycle:
emergent→validated(2+ citations) →canonical
Operational Docs (00_foundation/)
- Strategic documents that compose from the graph
- They reference atomic concepts, they don't redefine them
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 · 89 lines · 675 tokens per session scan A 4b7aa7c4f45f
context-os CLAUDE.md is an instructions file published in the GitHub repository jacob-dietle/context-os (115 stars, last pushed 2mo ago), licensed MIT. It adds 675 tokens to every session, about $0.0027 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.
context-os CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| context-os CLAUDE.mdjacob-dietle/context-os | Instructions file | 115 | 2mo ago | MIT | A | 675 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |