Documentation for a persistent memory layer: a local database that stores project observations and indexes code and documents for later lookup.

Use it to save and search notes, inspect code symbols and relationships, analyze documentation, and connect related project knowledge.

It helps a coding agent retain decisions, discoveries, and project knowledge between sessions instead of starting with no history.

docs — Skill for Claude Code and Codex by GeneGulanesJr/LaPis

Install

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.

Any agent

npx skills add GeneGulanesJr/LaPis --skill docs

Clone the repo

git clone --depth 1 https://github.com/GeneGulanesJr/LaPis

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/genegulanesjr/lapis/docs/github.svg)](https://agentmods.dev/skills/genegulanesjr/lapis/docs)

Your own site

<a href="https://agentmods.dev/skills/genegulanesjr/lapis/docs"><img src="https://agentmods.dev/badge/skills/genegulanesjr/lapis/docs/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/genegulanesjr/lapis/docs"><img src="https://agentmods.dev/badge/skills/genegulanesjr/lapis/docs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 554 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

medium Agent Snooping · line 3
Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.

Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
medium Agent Snooping · line 27
Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.

Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

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	$0.00554
Opus 5.5	$0.00000	$0.00222
Sonnet 5.5	$0.00000	$0.00111
Haiku 4.5	$0.00000	$0.00055

Measured 1mo ago against content hash e3911b3c7733, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

docs 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.

docs/SKILL.md · 32 lines

How it starts

The opening of the file, as written. The whole thing — 32 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Memory Layer Skill

This is the companion skill doc for the skills/memory-layer/SKILL.md extension registration. For the authoritative and complete skill reference, see ../skills/memory-layer/SKILL.md.

Overview

The memory layer provides persistent memory capabilities for the Pi coding agent. It runs as a Pi extension with a local SQLite backend, providing observation CRUD, code indexing, code analysis, doc indexing, trust scoring, and session lifecycle management — all without cloud dependencies or API keys.

The same backend also powers a Claude Code CLI integration (lapis claude-code install) that wires MCP tools plus lifecycle hooks for context injection, guardrails, passive capture, and session tracking. See CLAUDE_CODE.md.

Key Capabilities

Declarative memory — save, search, update, and delete observations (decisions, bugfixes, patterns, discoveries).
Code indexing — web-tree-sitter (WASM) parses JS/TS/TSX/Go/Python/Rust/SQL for semantic symbol lookup.
Code analysis — import graphs, call hierarchies, blast radius, dead code, complexity, hotspots, cycles, importance, coupling, signal chains, layer violations, AST patterns, provenance, untested detection, PR risk, and unified coding context.
Doc indexing — Markdown sections, links, glossary terms, code examples, broken link detection, tutorial path reconstruction.
Trust scoring — memories linked to changed code lose confidence; stable linked code recovers trust.
HTTP server — optional REST API for programmatic access to the Aurex domain model and code analysis.
Auto-detection — the extension automatically captures decisions, bugfixes, and discoveries from assistant messages.
Claude Code bridge — first-class CLI integration via MCP + hooks (lapis claude-code install).

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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 · 32 lines · 0 tokens per session scan A e3911b3c7733

Subscribe to this mod's changes

docs is a skill published in the GitHub repository GeneGulanesJr/LaPis (55 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 554 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.

Memory Management Memory and context coding-agent lapis pi sqlite

memory-compounding

Review and sharpen persistent memory so it compounds instead of accumulating. Use when pruning pi-hermes-memory entries, doing monthly memory hygiene, or when the same lesson has been recorded multiple times.

romiluz13/auto-pi · 41 tokens

session-handoff

Hand off work to another Pi session — write a handoff doc, save key decisions to memory, and notify the target session via intercom. Use when a session is getting long, when you need to continue work in a fresh context, or when transferring work between projects/sessions. Composes handoff.ts (doc writer) + memory…

romiluz13/auto-pi · 83 tokens

agent-state-bar

A design guide for an agent status bar: a short, automatically updated summary of progress, remaining tasks, tool counts, errors, and system state placed near the latest model input.

bojieli/ai-agent-book · 105 tokens

knowledge-org

A guide to organising large bodies of knowledge so an AI system can navigate relationships, summaries, and layers instead of searching only flat text chunks. It covers tree indexes, knowledge graphs, file-like structures, incremental updates, and long-term memory layouts.

bojieli/ai-agent-book · 96 tokens

context-compression

A guide to shortening the information an agent carries between steps. It explains how to replace large tool outputs and old conversation details with compact, useful summaries while preserving important decisions and constraints.

bojieli/ai-agent-book · 92 tokens

memory-system

A guide to giving an AI agent persistent, user-specific memory across conversations. It covers what to remember, how to store it, how to update or compress it, and when to use memory instead of a shared knowledge base.

bojieli/ai-agent-book · 95 tokens

docs