Borrowing it
Nothing to install: this file belongs to LBT-AI/toolnet-memory. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/LBT-AI/toolnet-memory/main/CLAUDE.mdgit clone --depth 1 https://github.com/LBT-AI/toolnet-memoryWrote 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/lbt-ai/toolnet-memory/claude-md)<a href="https://agentmods.dev/instructions/lbt-ai/toolnet-memory/claude-md"><img src="https://agentmods.dev/badge/instructions/lbt-ai/toolnet-memory/claude-md/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/instructions/lbt-ai/toolnet-memory/claude-md"><img src="https://agentmods.dev/badge/instructions/lbt-ai/toolnet-memory/claude-md.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 | $0.00482 | $0.00482 |
| Opus 5.5 | $0.00193 | $0.00193 |
| Sonnet 5.5 | $0.00096 | $0.00096 |
| Haiku 4.5 | $0.00048 | $0.00048 |
Grade A, and why
toolnet-memory CLAUDE.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 2mo 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.
This is a copy
100% identical to toolnet-memory AGENTS.md — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
ToolNet Memory — Repository Instructions
This repository contains the ToolNet Memory CLI and runtime.
Working principles
- Read the current source before making changes.
- Keep ToolNet Memory project-agnostic. Never hardcode a specific user's project path.
- Fast startup context must remain local, small, and bounded.
- Do not automatically run deep recovery commands during agent startup.
- Do not inject raw transcripts into normal prompts.
- Durable memory must be filtered, deduplicated, sanitized, and selectively promoted.
- Never expose credentials, API keys, tokens, passwords, or .env values.
- Preserve project isolation through .toolnet/project.json.
- Storage providers must remain pluggable: R2, generic S3, local, and legacy Hugging Face S3.
- Changes to agent integrations must respect the native mechanism of each agent.
Agent integration model
- Agy / Antigravity: native hooks and fast context injection.
- Codex: MCP and project instructions.
- OpenCode: native integration/plugin mechanisms.
- Claude-compatible agents: repository instruction files where supported.
All adapters should use the same ToolNet context and memory core rather than duplicating project logic.
Context policy
Normal startup:
minimal context → project rules → current work → small token budget
Do not automatically run:
toolnet-memory session:agy-recover toolnet-memory session:codex-recover toolnet-memory session:opencode-recover toolnet-memory handoff:latest toolnet-memory brief
Those are manual/deep-recovery operations.
Session memory policy
Keep:
- project rules,
- technical decisions,
- architecture decisions,
- important files changed,
- confirmed fixes,
- blockers,
- deployment rules,
- next actions.
Discard or heavily filter:
- system messages,
- ephemeral messages,
- reasoning/tool logs,
- progress output,
- npm noise,
- repeated terminal output,
- duplicate facts,
- secrets.
Quality checks
Before committing code changes, run:
npm run lint npm run format:check npm run typecheck npm test npm run build:release
Do not claim completion if these checks fail.
Releases
Never republish an existing npm version.
Before publishing:
npm view toolnet-memory@latest version node -p "require('./package.json').version"
If the version already exists on npm, bump the package version first.
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.
- 2mo ago First seen · 92 lines · 482 tokens per session scan A e5325a84a4fe
toolnet-memory CLAUDE.md is an instructions file published in the GitHub repository LBT-AI/toolnet-memory (5 stars, last pushed 1mo ago), licensed MIT. It adds 482 tokens to every session, about $0.0019 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to toolnet-memory AGENTS.md, differing in 0 lines, and is treated as a copy.
toolnet-memory CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| toolnet-memory CLAUDE.mdLBT-AI/toolnet-memory | Instructions file | 5 | 1mo ago | MIT | A | 482 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |