Borrowing it
Nothing to install: this file belongs to modeled-information-format/mnemonic. 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/modeled-information-format/mnemonic/main/.github/instructions/python.instructions.mdgit clone --depth 1 https://github.com/modeled-information-format/mnemonicWrote 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/modeled-information-format/mnemonic/python)<a href="https://agentmods.dev/instructions/modeled-information-format/mnemonic/python"><img src="https://agentmods.dev/badge/instructions/modeled-information-format/mnemonic/python/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/modeled-information-format/mnemonic/python"><img src="https://agentmods.dev/badge/instructions/modeled-information-format/mnemonic/python.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 | $0.00178 | $0.00178 |
| Opus 5.5 | $0.00071 | $0.00071 |
| Sonnet 5.5 | $0.00036 | $0.00036 |
| Haiku 4.5 | $0.00018 | $0.00018 |
Grade A, and why
mnemonic 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 1mo 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.
What it actually says
Python Code Guidelines
Style
- Use ruff for linting and formatting
- Line length: 120 characters
- Target: Python 3.8+
- Use double quotes for strings
Imports
- Follow isort ordering (handled by ruff)
- Group: stdlib, third-party, local
Type Hints
- Prefer type hints for function signatures
- Use
from __future__ import annotationsfor forward references
Error Handling
- Use specific exception types
- Log errors before re-raising
- Avoid bare
except:clauses
Hook Files (hooks/*.py)
- Must be executable Python scripts
- Should handle
--testflag for validation - Use JSON output for structured data
- Exit with appropriate codes (0=success, 1=error)
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.
- 1mo ago First seen · 31 lines · 178 tokens per session scan A 2b81592d1dc7
mnemonic python.instructions.md is an instructions file published in the GitHub repository modeled-information-format/mnemonic (23 stars, last pushed 3d ago), licensed MIT. It adds 178 tokens to every session, about $0.0007 per session on Opus 5.5. 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 2026-08-30.
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