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 commands/404-not-found/mindlink/summarygit clone --depth 1 https://github.com/404-not-found/mindlinkWhat 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 | $0.00000 | $0.00449 |
| Opus 5 | $0.00000 | $0.00225 |
| Sonnet 5 | $0.00000 | $0.00090 |
| Haiku 4.5 | $0.00000 | $0.00045 |
Grade A, and why
summary 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 2d 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
mindlink summary
Show a full briefing of everything MindLink knows about this project.
Synopsis
mindlink summary [--json]
Description
Reads all four .brain/ files and surfaces everything in one view: project identity, architecture, decisions, current session state, what other sessions have shared, and recent history.
Your AI agent can run this itself — just tell it mindlink summary and it reads the output directly. This is the cleanest way to brief a mid-session agent without copying files around.
Output
◉ MindLink — Full Briefing
Project Overview
────────────────
A todo app built with Next.js and Postgres.
Current Session
───────────────
Task: Build the login page
In progress: Auth form, JWT middleware
Blockers: None
Up next: Password reset flow
Shared Context
──────────────
Session A found: use Postgres over SQLite — better for concurrent writes.
Recent History (last 3 sessions)
─────────────────────────────────
[Apr 9] Scaffolded auth module. Decided: JWT over sessions.
[Apr 8] Set up database schema. Added migrations.
[Apr 7] Project started. Chose Next.js + Postgres stack.
Powered by MindLink — github.com/404-not-found/mindlink
Options
| Flag | Description |
|---|---|
--json |
Output as JSON with keys: project, session, log, shared |
Examples
mindlink summary
mindlink summary --json
Ask your AI agent to run it:
Run mindlink summary and brief me on where we left off.
Error: Not Initialized
✗ No .brain/ found in this directory.
Run mindlink init to get started.
Related Commands
mindlink status— lighter-weight last-session viewmindlink log— full session historymindlink init— set up memory for this project
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.
- 2d ago First seen · 90 lines · 0 tokens per session scan A c1964016ccc3
summary is a command published in the GitHub repository 404-not-found/mindlink (11 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 449 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
git
Git operations with intelligent commit messages and workflow optimization.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
constitution
Create or update the project constitution from interactive or provided principle inputs.