personal_kb python.instructions.md

Project-specific guidance for a local file-search knowledge base used with Copilot CLI. It covers a Python-based document-ingestion process and searching with ripgrep, a fast command-line text search tool.

In plain words
What is it for?
Use it when maintaining or documenting this knowledge-base project. It helps choose the project’s virtual environment, keep scripts portable, and create isolated test files.
Why use it?
It keeps the project’s Python usage simple and consistent while avoiding assumptions about cloud services or vector databases, which are systems that store documents for similarity search.

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/haxudev/personal_kb/python
Clone the repo
git clone --depth 1 https://github.com/haxudev/personal_kb

Made for: GitHub Copilot.

Per session 73 This file is loaded in full into every session.
When invoked 73 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original 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 $0.00073 $0.00073
Opus 5 $0.00036 $0.00036
Sonnet 5 $0.00015 $0.00015
Haiku 4.5 $0.00007 $0.00007

Measured yesterday against content hash 0c9dc783e36a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

personal_kb 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 · 10 lines

What it actually says

  • Use the project's .venv when documenting or running Python commands.
  • Keep Python scripts dependency-light and readable.
  • Preserve cross-platform behavior where practical.
  • Do not assume cloud services or vector databases exist in this repository.
  • Tests must use self-created fixtures, not borrowed project documents.
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 · 10 lines · 73 tokens per session scan A 0c9dc783e36a

Subscribe to this mod's changes

personal_kb python.instructions.md is an instructions file published in the GitHub repository haxudev/personal_kb (2 stars, last pushed 4mo ago), licensed MIT. It adds 73 tokens to every session, about $0.0004 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.

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