Python Cheatsheet is an interactive course that teaches Python through practical exercises covering core programming concepts and selected advanced features. It is for learners who want guided practice or a reference for building Python skills. The catalogue instructions support work with the course.
Borrowing it
Nothing to install: this file belongs to labex-labs/python-cheatsheet. 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/labex-labs/python-cheatsheet/master/.github/prompts/relevan-links.prompt.mdgit clone --depth 1 https://github.com/labex-labs/python-cheatsheetWrote 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/commands/labex-labs/python-cheatsheet/relevan-links)<a href="https://agentmods.dev/commands/labex-labs/python-cheatsheet/relevan-links"><img src="https://agentmods.dev/badge/commands/labex-labs/python-cheatsheet/relevan-links/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/commands/labex-labs/python-cheatsheet/relevan-links"><img src="https://agentmods.dev/badge/commands/labex-labs/python-cheatsheet/relevan-links.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 | $0.00000 | $0.00083 |
| Opus 5.5 | $0.00000 | $0.00033 |
| Sonnet 5.5 | $0.00000 | $0.00017 |
| Haiku 4.5 | $0.00000 | $0.00008 |
Grade A, and why
relevan-links 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 today.
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
Add relevant internal documentation links to this section by:
-
Cross-referencing the following documentation categories in the
/docsfolder:- Cheatsheets
- Blog posts
- Module documentation
- Built-in features/APIs
-
Format links using the router-link syntax
-
Ensure all links point to existing documentation pages
Relevant Links
[Insert links here using the structure above]
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.
- today First seen · 16 lines · 0 tokens per session scan A 357a21b35e84
relevan-links is a command published in the GitHub repository labex-labs/python-cheatsheet (4,964 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 83 tokens. 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 2026-10-15.
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