LaPis: Instructions file for Claude Code

AGENTS.md

LaPis AGENTS.md is an instructions file for Claude Code, Codex, OpenCode from GeneGulanesJr/LaPis. It costs 1,887 tokens per session, scanned A, original, MIT.

A project rule file for LaPis, a code and documentation memory system. It explains which memory tools to use for finding code or documents and how to retrieve information safely.

In plain words
What is it for?
Use it when tracing code relationships, checking dependencies, finding documentation, or indexing a repository. It also covers automatic storage and formatting of persistent project memory.
Why use it?
It keeps agents from scanning indexed repositories in unsuitable ways and helps them use the project’s structured lookup system.

Instructions file for Claude CodeCodexOpenCode

Written for Claude Code and Codex and OpenCode: PreToolUse hook event, but also the file is AGENTS.md. Also seen: mentions Claude Code.

This is GeneGulanesJr/LaPis's own configuration. It tells Claude Code, Codex and OpenCode how to work on LaPis itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything LaPis configures →

Reuse

Borrowing it

Nothing to install: this file belongs to GeneGulanesJr/LaPis. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/GeneGulanesJr/LaPis/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/GeneGulanesJr/LaPis

Made for: Claude Code, Codex, OpenCode.

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.

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README.md
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Per session 1,887 This file is loaded in full into every session.
When invoked 1,887 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01887 $0.01887
Opus 5.5 $0.00755 $0.00755
Sonnet 5.5 $0.00377 $0.00377
Haiku 4.5 $0.00189 $0.00189

Measured 2d ago against content hash e1b5af8e12d5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

LaPis AGENTS.md 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.

AGENTS.md · 111 lines

How it starts

The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Protocols

1. Code & Doc Retrieval — Use memory-code / memory-doc

LaPis is the canonical Pi memory stack. For any code/doc lookup, prefer LaPis tools first.

The memory-layer extension enforces structured retrieval over raw file reads:

  • Code → memory-code tool
    • Modes: search, callers, callees, blast-radius, dead-code, complexity, deps, outline, churn, hotspots, cycles, importance, coupling, extractable, hierarchy, signal-chains, layer-violations, coding-context, preflight, agent-pack, health, dupes, audit-diff, enrich-symbols, index-repo, reindex-repo
  • Docs → memory-doc tool
    • Modes: search, outline, backlinks, broken-links, glossary, tutorial-path, code-examples, orphans, coverage, stale-pages, duplicates, index-docs, reindex-docs

If a repo isn't indexed yet, the tool will tell you exactly how to index it.

Enforcement rules:

  • read on a code file in an indexed repo without offset/limit → BLOCKED. Use memory-code outline first.
  • read on a code file with offset/limit → ALLOWED (editing targeted lines).
  • bash grep/rg for browsing or scanning source code in an indexed repo → BLOCKED. Use memory-code instead.
  • bash grep/rg for targeted single-symbol lookup (e.g., grep -rn "rankObservations" src/) → ALLOWED when faster than memory-code for exact-name searches.
  • bash find for file discovery in an indexed repo → BLOCKED. Use memory-code search instead.
  • After calling memory-code outline on a file, subsequent reads are allowed.
  • Prefer memory-code search for semantic queries (e.g., "how does context injection work"). Prefer bash grep for exact symbol queries (e.g., "where is rankObservations defined").
  • If a lookup seems to need raw source browsing, stop and use memory-code / memory-doc instead.

2. Persistent Memory — Automatic

Memory is handled automatically by the memory-layer extension. It:

  • Injects context at session start (decisions, preferences, recent memories)
  • Re-injects context after compaction — /compact no longer destroys memory awareness
  • Auto-detects decisions — pattern-matches assistant messages for decisions, bugfixes, discoveries, and auto-saves them
  • Periodic progress checkpoints — every 10 turns, saves an auto-checkpoint with files edited
  • Persistent memory reminder — every 5th LLM call, injects a lightweight reminder if no memory tool was used recently
  • Git-triggered trust sync — after git pull/checkout/merge/rebase, auto-syncs code trust scores
  • Auto-saves session summaries on shutdown with topics, files, and turn count
  • Auto-recovers incomplete sessions
  • Detects stale indexes and warns when code indexes are out of date
  • Hard-blocks reads of code files in indexed repos — must use memory-code outline first; partial reads (offset/limit) allowed for editing
  • Auto-dreams at turn 50 of each active session — runs the Dream Cycle to clean stale memories (not just old). Targets superseded, zero-recall auto-saved, stale corrections, and replaced configs. Age alone is NOT a signal.

Read the full file on GitHub · 111 lines

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.

  1. 2d ago Changed · +1 lines · +70 tokens per session e1b5af8e12d5
  2. 24d ago Changed · +26 tokens per session e896d849d534
  3. 1mo ago Changed · +2 lines · +80 tokens per session 07b829694385
  4. 2mo ago First seen · 108 lines · 1,711 tokens per session scan A 0748970fa4fb

Subscribe to this mod's changes

LaPis AGENTS.md is an instructions file published in the GitHub repository GeneGulanesJr/LaPis (56 stars, last pushed yesterday), licensed MIT. It adds 1,887 tokens to every session, about $0.0075 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 2026-08-30.

Related

LaPis AGENTS.md compared with instructions from other repositories

LaPis AGENTS.md next to 6 instructions from other repositories
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vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode