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 skills add parisgroup-ai/imersao-ia-setup --skill memory-bankgit clone --depth 1 https://github.com/parisgroup-ai/imersao-ia-setupWrote 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/skills/parisgroup-ai/imersao-ia-setup/memory-bank)<a href="https://agentmods.dev/skills/parisgroup-ai/imersao-ia-setup/memory-bank"><img src="https://agentmods.dev/badge/skills/parisgroup-ai/imersao-ia-setup/memory-bank/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/skills/parisgroup-ai/imersao-ia-setup/memory-bank"><img src="https://agentmods.dev/badge/skills/parisgroup-ai/imersao-ia-setup/memory-bank.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 | $0.00070 | $0.04436 |
| Opus 5 | $0.00035 | $0.02218 |
| Sonnet 5 | $0.00014 | $0.00887 |
| Haiku 4.5 | $0.00007 | $0.00444 |
Grade A, and why
memory-bank 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 11d 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 — 770 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Memory Bank Skill
This skill manages the project's memory-bank system - a structured set of files that preserve context between Claude Code sessions. The memory-bank ensures continuity, reduces repetitive explanations, and maintains project intelligence.
Core Philosophy
Claude's memory resets between sessions. The memory-bank serves as persistent project memory:
- Read memory-bank files at session start
- Use context throughout the session
- Update files before session ends or after significant changes
Memory Bank Structure
project-root/
├── CLAUDE.md # Primary entry point (required)
├── memory-bank/
│ ├── projectbrief.md # Foundation document
│ ├── productContext.md # Why and how
│ ├── activeContext.md # Current focus (update frequently)
│ ├── systemPatterns.md # Architecture patterns
│ ├── techContext.md # Technical details
│ ├── progress.md # What's done, what's next (keep slim!)
│ ├── errors.md # Known issues and solutions
│ └── archive/ # (Optional) Historical details
│ ├── index.md # Quick lookup for archived items
│ └── YYYY-MM.md # Monthly archives (e.g., 2025-12.md)
When to Archive
When progress.md exceeds ~500 lines, split it:
- Keep in progress.md: Current sprint, next up, milestone summary table, known issues
- Move to archive/: Detailed session logs, files created/modified, commits, lessons learned
This keeps progress.md scannable (<100 lines) while preserving full history.
File Hierarchy
┌─────────────────────────────────────────┐
│ CLAUDE.md │ ← Start here ALWAYS
│ (Entry Point) │
└─────────────────┬───────────────────────┘
│
▼
┌─────────────────────────────────────────┐
│ projectbrief.md │ ← Foundation
│ (Project Foundation) │
└─────────────────┬───────────────────────┘
│
┌─────────┴─────────┐
▼ ▼
┌───────────────┐ ┌───────────────┐
│ productContext│ │ techContext │ ← Core Context
│ (Why/How) │ │ (Stack/Tech) │
└───────┬───────┘ └───────┬───────┘
│ │
└─────────┬─────────┘
▼
┌─────────────────────────────────────────┐
│ systemPatterns.md │ ← Patterns
│ (Architecture Decisions) │
└─────────────────┬───────────────────────┘
│
▼
┌─────────────────────────────────────────┐
│ activeContext.md │ ← Current State
│ (Now + Next Actions) │
└─────────────────┬───────────────────────┘
│
▼
┌─────────────────────────────────────────┐
│ progress.md │ ← History
│ (Done + Remaining Work) │
└─────────────────────────────────────────┘
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.
- 11d ago First seen · 770 lines · 70 tokens per session scan A bc087931ebcb
memory-bank is a skill published in the GitHub repository parisgroup-ai/imersao-ia-setup (1 stars, last pushed 29d ago), licensed MIT. It adds 70 tokens to every session and 4,436 once invoked, about $0.0003 per session on Opus 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 skills, from other repositories
init-workspace-documentation
Skill "init-workspace-documentation" from griddynamics/rosetta, covering agent memory.md, agent memory, preventive rules, what worked and what failed.
forgetful-context-gather
Gather deep context before planning or implementing — one pass that turns a task description into a cited context pack: relevant decisions, patterns, constraints, code pointers, procedures, and explicit gaps. Runs recall from several angles, explores the graph around the strongest hits, and opens the linked material.
project-memory
Generate a project-specific context file from a brief so an AI assistant remembers your editorial constraints, voice, audience, and quality bar across sessions.
core
Use when knowledge base hub — PARA-structured company memory combining company-kb and kb for persistent context, project documentation, and agent recall across sessions. Use when working with knowledge base, company knowledge, or persistent memory.
berkahkarya-orchestrator
Use when orchestrate multi-skill workflows by routing tasks to the right agents and coordinating cross-platform operations.
langchain-patterns
Use when langChain/LangGraph patterns — chains, agents, tools, memory, retrieval, graph workflows. Use when working with langchain patterns.