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/kkonstvol-lab/obsidian-memory/agents-mdgit clone --depth 1 https://github.com/kkonstvol-lab/obsidian-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/kkonstvol-lab/obsidian-memory/agents-md)<a href="https://agentmods.dev/instructions/kkonstvol-lab/obsidian-memory/agents-md"><img src="https://agentmods.dev/badge/instructions/kkonstvol-lab/obsidian-memory/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 | $0.01155 | $0.01155 |
| Opus 5 | $0.00577 | $0.00577 |
| Sonnet 5 | $0.00231 | $0.00231 |
| Haiku 4.5 | $0.00115 | $0.00115 |
Grade A, and why
obsidian-memory 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 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.
How it starts
The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Instructions for AI agents maintaining this public skill repository.
Repository Purpose
This repository stores the public standalone obsidian-memory skill. Treat it as portable skill source, not as a runtime vault or private workspace.
Primary release target:
kkonstvol-lab/obsidian-memoryonmaster.
Secondary sync target after standalone is correct:
kkonstvol-lab/agents/agent-skills/obsidian-memoryonmain.
Public-Only Rule
Do not commit:
- private
12-codex,12-claude, or other runtime memory content; session-drafts,hook-runs, local reports, caches, sqlite files, or logs;- RAW PDF/DOCX/ZIP files;
- credentials, API keys, tokens, cookies, auth files, or local configs;
- machine-specific absolute paths;
- generated graph/retrieval reports that contain private vault content.
Use generic examples such as {YOUR_VAULT_PATH}, /path/to/vault, 12-{agent}, and ~/.agents/skills.
Maintenance Rules
- Update the standalone repo first.
- Sync the monorepo copy only after standalone docs, scripts, and tests are correct.
- The monorepo copy must match the standalone skill exactly except for ignored runtime artifacts such as
.git, caches, and platform junk. - Treat the README as the public showcase surface: major shipped capabilities must appear in the first-level narrative, not only in
references/. - Keep brand assets final-only: commit the finished image, not prompts, caches, alternate drafts, or generated intermediate files.
- Keep
SKILL.mdconcise; move long guidance toreferences/. - Keep scripts deterministic and dry-run/advisory by default.
- Separate shipped capabilities from recommended contracts and internal production lessons. Do not imply that a documented private/local runtime pattern is bundled as a ready engine.
- Any hook, graph, or operator script should have a syntax check, smoke test, or fixture test.
- Keep Control Tower / workflow discipline tools portable: use synthetic fixtures,
12-{agent}examples, and read-only defaults; never publish real12-codexdecision state or lesson content. - Do not add DB, vector, MCP, or job-runtime behavior without a separate approved plan.
- Do not add claims about bundled semantic storage, default dynamic context injection, direct canonical writes, all-agent memory access, or OpenViking as a dependency.
- ClaudSoul-style content here means practical bridges only, not full ontology/persona architecture.
- GBrain-inspired content here means runtime discipline only, not migration to GBrain.
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 · 93 lines · 1,155 tokens per session scan A c24aa2f98721
obsidian-memory AGENTS.md is an instructions file published in the GitHub repository kkonstvol-lab/obsidian-memory (2 stars, last pushed 3mo ago), licensed MIT. It adds 1,155 tokens to every session, about $0.0058 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 2026-08-31.
Other instructions, from other repositories
obsidian-llm-wiki CLAUDE.md
Claude Code instructions for green-dalii/obsidian-llm-wiki, a project described as: Karpathy's LLM Wiki implementation plugin for Obsidian - turns notes and PDFs into a linked, LLM-powered knowledge base with entity pages, concept pages, graph-powered Q&A, and local-first privacy.
Kompl AGENTS.md
AGENTS.md instructions for tuirk/Kompl, covering agents.md — kompl operator guide, what is kompl?, agent rules — wiki safety (read before any docker command), never without explicit user confirmation and if a destructive action is going to happen anyway.
memex AGENTS.md
Instructions for iamtouchskyer/memex, covering memex — agent working instructions, what is this, before you touch anything, how the code is layered and files you'll actually need.
llm-brain CLAUDE.md
Instructions for kimsanguine/llm-brain, covering llm-brain — claude code 운영 지침, 가드레일 (절대 위반 금지), 프라이버시 경계 (agent memory os), 명령어 and ingest.
context-canopy AGENTS.md
Instructions for YusenZhang0601/context-canopy, covering contextcanopy agent entry, route before acting, privacy and authority boundary, portability claims and completion evidence.
context-canopy CLAUDE.md
Instructions for YusenZhang0601/context-canopy, a project described as: Portable, local-first AI agent memory and personal context—switch agents without losing identity, goals, rules, or evidence.