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.
git clone --depth 1 https://github.com/linxule/memex-pluginWrote 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/linxule/memex-plugin/open)<a href="https://agentmods.dev/commands/linxule/memex-plugin/open"><img src="https://agentmods.dev/badge/commands/linxule/memex-plugin/open/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/linxule/memex-plugin/open"><img src="https://agentmods.dev/badge/commands/linxule/memex-plugin/open.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 | $0.00011 | $0.00357 |
| Opus 5.5 | $0.00004 | $0.00143 |
| Sonnet 5.5 | $0.00002 | $0.00071 |
| Haiku 4.5 | $0.00001 | $0.00036 |
Grade A, and why
open 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 1mo 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
Open Command
Open the memex vault in Finder or Obsidian for browsing.
Vault Path
cd $(memex path) before any uv run command.
Instructions
-
Parse argument to determine target:
finderorfor empty: Open in Finderobsidianoro: Open in Obsidian
-
Open the vault:
For Finder (macOS):
open $(memex path)For Obsidian:
open "obsidian://open?vault=memex" # Or if vault name is different: open -a Obsidian $(memex path) -
Confirm the action
Platform Notes
- macOS: Uses
opencommand - Linux: Use
xdg-openfor Finder equivalent - Windows: Use
explorerorstart
Output
📂 Opened memex vault in [Finder/Obsidian]
Path: <resolved vault path>
Quick links:
- projects/ - Your project memos
- topics/ - Cross-project concepts
- _views/ - Obsidian dashboards
Examples
/memex:open- Open in Finder/memex:open obsidian- Open in Obsidian/memex:open f- Open in Finder (shorthand)
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.
- 1mo ago First seen · 61 lines · 11 tokens per session scan A 1fce804835fa
open is a command published in the GitHub repository linxule/memex-plugin (7 stars, last pushed 3d ago), licensed MIT. It adds 11 tokens to every session and 357 once invoked, about $0.0000 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 2026-08-31.
Other commands, from other repositories
daily-okr
Run a daily knowledge compound loop (7 KR). Invoke with /daily-okr or "start my daily review".
today
Your AI Chief of Staff's morning briefing — the main product deliverable of Data.
continue
Resume incomplete work from continuation tasks, or find the highest-impact next action.
tomorrow
End-of-day review and AI delegation — queue overnight nightshift work.
process-inbox
Automated inbox processing — classify and route all entries from inbox.org.
nightshift-hook
Command "nightshift-hook" from datacore-one/datacore, covering research hook: nightshift integration, command context, when to reference research module, quick reference and agents this hook invokes.