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/mithunyc/obsidian-agent-memory/claude-mdgit clone --depth 1 https://github.com/mithunyc/obsidian-agent-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/mithunyc/obsidian-agent-memory/claude-md)<a href="https://agentmods.dev/instructions/mithunyc/obsidian-agent-memory/claude-md"><img src="https://agentmods.dev/badge/instructions/mithunyc/obsidian-agent-memory/claude-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 | $0.00151 | $0.00151 |
| Opus 5 | $0.00076 | $0.00076 |
| Sonnet 5 | $0.00030 | $0.00030 |
| Haiku 4.5 | $0.00015 | $0.00015 |
Grade A, and why
obsidian-agent-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 5d 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
86% identical to obsidian-agent-memory AGENTS.md — 10 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
Claude Code — Vault Adapter
Read the canonical rules file before taking any action in this vault.
Then follow the retrieval protocol:
→ 00_System/AI/RETRIEVAL_PROTOCOL.md
Constraints:
- Do not modify
.obsidian/unless explicitly asked. - Treat any
raw/folder as immutable — read only. - Create only
.mdand.basefiles. - Use the property schema defined in
00_System/Templates/. - Log significant vault changes in
00_System/Logs/Vault-Changes.md.
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.
- 5d ago First seen · 17 lines · 151 tokens per session scan A 7b810b81227e
obsidian-agent-memory CLAUDE.md is an instructions file published in the GitHub repository mithunyc/obsidian-agent-memory (3 stars, last pushed 4mo ago), licensed MIT. It adds 151 tokens to every session, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to obsidian-agent-memory AGENTS.md, differing in 10 lines, and is treated as a copy.
Other instructions, from other repositories
memorix CLAUDE.md
Claude Code instructions for AVIDS2/memorix, covering memorix - agent instructions for claude code, using memorix memory tools, when to search memory, when to store memory and when to resolve memory.
memorix GEMINI.md
Gemini CLI instructions for AVIDS2/memorix, covering memorix - cross-agent memory rules, session start - bind project, then load context, during session - capture important context, architecture & decisions and bug fixes & problem solving.
Mem-Forever copilot-instructions.md
Instructions for ilang-ai/Mem-Forever, covering mem-forever, session start, onboarding (soul.md empty), soul.md format and memory update.
hivelore copilot-instructions.md
Copilot instructions for Doucs91/hivelore, covering hivelore — mandatory rules for ai agents, session rules, safety rules — never violate these and hard rules — hivelore block sensors.
hivelore AGENTS.md
AGENTS.md instructions for Doucs91/hivelore, covering working through hivelore, safety and hard rules — hivelore block sensors.
Iron-mem CLAUDE.md
Instructions for BMC-INC/Iron-mem, a project described as: Agent-native memory infrastructure for AI coding assistants. Governed session capture, LLM compression, hybrid retrieval (FTS + vector + RRF), temporal knowledge graph, content-addressed storage, compliance-grade classification. Single Rust binary, MCP server.…