obsidian-diary-mcp python.instructions.md

Project instructions for an Obsidian diary tool that uses local AI. Obsidian is a note-taking app, and Ollama runs AI models on a local computer.

In plain words
What is it for?
The project is described as helping manage diary notes, create reflection prompts, find connections over time, and analyze patterns.
Why use it?
The provided details do not include the specific instructions or enough information to describe the exact problem they solve.

Instructions file for GitHub Copilot

Install

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.

agentmods
npx agentmods add instructions/madebygps/obsidian-diary-mcp/python
Clone the repo
git clone --depth 1 https://github.com/madebygps/obsidian-diary-mcp

Made for: GitHub Copilot.

Per session 51 This file is loaded in full into every session.
When invoked 51 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00051 $0.00051
Opus 5 $0.00026 $0.00026
Sonnet 5 $0.00010 $0.00010
Haiku 4.5 $0.00005 $0.00005

Measured yesterday against content hash 5c31da31a7ca, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

obsidian-diary-mcp python.instructions.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 yesterday.

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.

.github/instructions/python.instructions.md · 7 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. yesterday First seen · 7 lines · 51 tokens per session scan A 5c31da31a7ca

Subscribe to this mod's changes

obsidian-diary-mcp python.instructions.md is an instructions file published in the GitHub repository madebygps/obsidian-diary-mcp (4 stars, last pushed 10mo ago), with no licence file. It adds 51 tokens to every session, about $0.0003 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.