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/404-not-found/mindlinkWrote 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/404-not-found/mindlink/profile)<a href="https://agentmods.dev/commands/404-not-found/mindlink/profile"><img src="https://agentmods.dev/badge/commands/404-not-found/mindlink/profile/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/404-not-found/mindlink/profile"><img src="https://agentmods.dev/badge/commands/404-not-found/mindlink/profile.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 | $0.00000 | $0.00674 |
| Opus 5.5 | $0.00000 | $0.00270 |
| Sonnet 5.5 | $0.00000 | $0.00135 |
| Haiku 4.5 | $0.00000 | $0.00067 |
Grade A, and why
profile 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.
How it starts
The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
mindlink profile
Manage your global user profile — imported into every new project automatically.
Synopsis
mindlink profile [--show] [--path]
Description
Your global user profile lives at ~/.mindlink/USER.md. It stores personal facts about you — role, experience, preferences, communication style — that are true regardless of which project you're working in.
When you run mindlink init on a new project, your profile is automatically imported into the ## User Profile section of .brain/MEMORY.md. Your AI starts the first session already knowing who you are.
When you run mindlink update, the profile is synced to all registered projects — any changes you make are propagated everywhere.
Commands
Open profile in your $EDITOR:
mindlink profile
Print profile to stdout:
mindlink profile --show
Print profile file path:
mindlink profile --path
Profile Format
# MindLink — Global User Profile
> This file is imported into every new project's MEMORY.md on `mindlink init`.
> Edit it with `mindlink profile`. Run `mindlink update` to sync changes to all projects.
Senior full-stack engineer, 8 years. Primary: TypeScript, Python.
Prefers functional patterns, minimal abstraction.
Direct communication — skip preamble, lead with the answer.
macOS + zsh. Editor: VS Code + Claude Code.
<!-- added: 2026-04-13 -->
Write anything your AI should know about you in plain Markdown. The more specific, the better — role, experience level, communication preferences, tools, and how you like problems explained.
How It Works
- On
mindlink init: if~/.mindlink/USER.mdexists with real content, it is injected into the## User Profilesection of the new project'sMEMORY.md. - On
mindlink update: the current profile replaces the## User Profilesection in all registered projects — keeping them in sync as your profile evolves.
Options
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 · 105 lines · 0 tokens per session scan A 3e24222db04f
profile is a command published in the GitHub repository 404-not-found/mindlink (10 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 674 tokens. 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
minutes-ideas
Surface recent voice memos and ideas captured from any device. Use when the user asks "what ideas did I have?", "what were my recent memos?", "what did I record while walking?", or wants to recall a captured thought.
learn
Force claude-smart to extract learnings from this session now.
memory-store
Store an insight, decision, or pattern to memory.
analyze-context
USE WHEN you want to analyze project context before starting work on a task. Calls context + recall, then synthesizes goals, decisions, gotchas, and relevant memories into a pre-task brief.
cc-memory
Configure persistent memory that survives across sessions using a layered approach: split rule files for always-loaded context, auto-memory for organic learning, and optional MCP-backed long-term memory for large codebases.
lians-recall
Recall current (non-stale) facts from Lians memory, optionally as-of a past date.