Basic Memory is a local-first knowledge system that stores notes as Markdown files and connects them into a searchable knowledge graph for AI conversations. People and AI assistants use it to preserve project context across Claude, Codex, Cursor, ChatGPT, and other MCP-compatible clients. The catalogue add-ons provide Basic Memory skills, commands, instructions, MCP integrations, hooks, settings, and a plugin.
Borrowing it
Nothing to install: this file belongs to basicmachines-co/basic-memory. 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/basicmachines-co/basic-memory/main/.agents/skills/pythonic-code/SKILL.mdgit clone --depth 1 https://github.com/basicmachines-co/basic-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/skills/basicmachines-co/basic-memory/pythonic-code)<a href="https://agentmods.dev/skills/basicmachines-co/basic-memory/pythonic-code"><img src="https://agentmods.dev/badge/skills/basicmachines-co/basic-memory/pythonic-code/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/skills/basicmachines-co/basic-memory/pythonic-code"><img src="https://agentmods.dev/badge/skills/basicmachines-co/basic-memory/pythonic-code.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00072 | $0.01634 |
| Opus 5.5 | $0.00029 | $0.00654 |
| Sonnet 5.5 | $0.00014 | $0.00327 |
| Haiku 4.5 | $0.00007 | $0.00163 |
Grade A, and why
pythonic-code 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 230 B
- evals/context/AGENTS.md 387 B
- evals/context/pyproject.toml 294 B
- evals/evals.json 5.5 KB
- evals/files/accepted_preparation.py 4.3 KB runs code
- evals/files/accepted_snapshot.py 3.1 KB runs code
- evals/files/shared_runtime_ownership.md 2.9 KB
- evals/files/test_accepted_preparation.py 2.4 KB runs code
- evals/files/test_accepted_snapshot.py 2.2 KB runs code
- justfile 1.1 KB
- scripts/run_evals.py 14 KB runs code
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 · 154 lines · 72 tokens per session scan A 04c25a2f0c03
pythonic-code is a skill published in the GitHub repository basicmachines-co/basic-memory (4,251 stars, last pushed yesterday), licensed AGPL-3.0. It adds 72 tokens to every session and 1,634 once invoked, about $0.0003 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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