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 instructions/genegulanesjr/lapis/agents-mdgit clone --depth 1 https://github.com/GeneGulanesJr/LaPisWrote 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/instructions/genegulanesjr/lapis/agents-md)<a href="https://agentmods.dev/instructions/genegulanesjr/lapis/agents-md"><img src="https://agentmods.dev/badge/instructions/genegulanesjr/lapis/agents-md.svg" alt="Measured on agentmods" 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 | $0.01711 | $0.01711 |
| Opus 5 | $0.00856 | $0.00856 |
| Sonnet 5 | $0.00342 | $0.00342 |
| Haiku 4.5 | $0.00171 | $0.00171 |
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 6d 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 — 108 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-codetool- Modes: callers, callees, blast-radius, dead-code, complexity, deps, outline, churn, hotspots, cycles, importance, coupling, extractable, hierarchy, signal-chains, layer-violations, index-repo, reindex-repo
- Docs →
memory-doctool- 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:
readon a code file in an indexed repo without offset/limit → BLOCKED. Usememory-code outlinefirst.readon a code file with offset/limit → ALLOWED (editing targeted lines).bash grep/rgfor browsing or scanning source code in an indexed repo → BLOCKED. Usememory-codeinstead.bash grep/rgfor targeted single-symbol lookup (e.g.,grep -rn "rankObservations" src/) → ALLOWED when faster than memory-code for exact-name searches.bash findfor file discovery in an indexed repo → BLOCKED. Usememory-code searchinstead.- After calling
memory-code outlineon a file, subsequent reads are allowed. - Prefer
memory-code searchfor semantic queries (e.g., "how does context injection work"). Preferbash grepfor exact symbol queries (e.g., "where is rankObservations defined"). - If a lookup seems to need raw source browsing, stop and use
memory-code/memory-docinstead.
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 —
/compactno 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 outlinefirst; 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.
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.
- 6d ago First seen · 108 lines · 1,711 tokens per session scan A 0748970fa4fb
LaPis AGENTS.md is an instructions file published in the GitHub repository GeneGulanesJr/LaPis (43 stars, last pushed 3d ago), licensed MIT. It adds 1,711 tokens to every session, about $0.0086 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 2026-08-30.
Other instructions, from other repositories
MemOS AGENTS.md
AGENTS.md instructions for MemTensor/MemOS, covering agents.md, project overview, repository layout, command cheatsheet and core api.
my-pi AGENTS.md
AGENTS.md instructions for spences10/my-pi, covering agents.md, orientation, repository-specific skills, source of truth order and commit and changeset ownership.
pi-ask AGENTS.md
Instructions for eko24ive/pi-ask, covering agents.md, project scope, project goals, tech stack and commands.
palaia AGENTS.md
AGENTS.md instructions for byte5ai/palaia, covering agent instructions, git workflow, pull requests, project and pre-push hook.
claude-memory-mcp AGENTS.md
Instructions for WhenMoon-afk/claude-memory-mcp, covering mooncite repository contract, product boundary, fixed architecture, sources of truth and change discipline.
gingugu AGENTS.md
AGENTS.md instructions for gingugu/gingugu, covering agents.md, memory protocol, session start, during the session and credentials.