Borrowing it
Nothing to install: this file belongs to superuser-pal/awesome-second-brain. 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/superuser-pal/awesome-second-brain/main/.claude/commands/qmd/context.mdgit clone --depth 1 https://github.com/superuser-pal/awesome-second-brainWrote 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/superuser-pal/awesome-second-brain/context)<a href="https://agentmods.dev/commands/superuser-pal/awesome-second-brain/context"><img src="https://agentmods.dev/badge/commands/superuser-pal/awesome-second-brain/context/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/commands/superuser-pal/awesome-second-brain/context"><img src="https://agentmods.dev/badge/commands/superuser-pal/awesome-second-brain/context.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 | $0.00016 | $0.00215 |
| Opus 5.5 | $0.00006 | $0.00086 |
| Sonnet 5.5 | $0.00003 | $0.00043 |
| Haiku 4.5 | $0.00002 | $0.00021 |
Grade A, and why
context 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.
What it actually says
QMD Context
Parameters
topic(required): The topic or entity to gather context on.
Prerequisites
- QMD CLI tool must be installed. (If QMD is completely unavailable, gracefully fallback to
obsidian search "[topic]"and warn the user, or use ripgrep if Obsidian is closed).
Steps
- Run
qmd vsearch "[topic]" --json -n 20to perform a broad vector search for related concepts across the vault. - Aggregate all the returned snippets.
- Categorize the findings logically (e.g., Decisions, People involved, Projects, Concepts).
- Provide a summarized "Context Brief" to the user, acting as a dashboard of what the brain knows about the topic. Include file links to all referenced documents.
Validation / Success Criteria
- A structured context brief is generated and presented to the user with categorized insights and file links.
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 · 21 lines · 16 tokens per session scan A 400ee49a835f
context is a command published in the GitHub repository superuser-pal/awesome-second-brain (16 stars, last pushed 6mo ago), licensed MIT. It adds 16 tokens to every session and 215 once invoked, about $0.0001 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 commands, from other repositories
onboard
An interview-based setup command for an LLM Wiki, a notes system designed for use with language models. It asks about your wiki, files, working mode, and personal context, then fills in the setup details.
refresh-context
Re-snapshot Core Context.md from (optional) mothership system files + key personal essays. Run when mothership files change, when new essays signal philosophy shift, or when snapshot is older than 30 days.
session-learn
Extract knowledge from the current session. Invoke with /session-learn or "extract this session".
status
Show memex statistics and status including projects, memos, and pending items.
curate
A command for maintaining a file-based knowledge wiki. It can review pages, shorten overlong material, manage page lifecycles, find possible contradictions, and rebuild weak connections between notes.
ingest
A command for adding information to a file-based knowledge wiki from web pages, files, or text notes. It classifies the material, updates or creates wiki pages, and adds links between related pages.