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.
npx skills add Benkapner/claude-code-basecamp --skill python-patternsgit clone --depth 1 https://github.com/Benkapner/claude-code-basecampWrote 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/benkapner/claude-code-basecamp/python-patterns)<a href="https://agentmods.dev/skills/benkapner/claude-code-basecamp/python-patterns"><img src="https://agentmods.dev/badge/skills/benkapner/claude-code-basecamp/python-patterns/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/benkapner/claude-code-basecamp/python-patterns"><img src="https://agentmods.dev/badge/skills/benkapner/claude-code-basecamp/python-patterns.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 | $0.00044 | $0.00324 |
| Opus 5.5 | $0.00018 | $0.00130 |
| Sonnet 5.5 | $0.00009 | $0.00065 |
| Haiku 4.5 | $0.00004 | $0.00032 |
Grade A, and why
python-patterns 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 Patterns — Team Conventions
Unified conventions for team Python projects: credential management, API clients, testing discipline, and data pipeline structure. Supplements standard patterns with team-specific rules.
When to Activate
- Writing credential/secret handling code or
.envfiles - Creating or modifying API clients (GitHub, Stripe, LLM APIs)
- Parsing LLM responses or structured API outputs
- Writing or reviewing tests (TDD workflow, mocking external APIs)
- Building or debugging data pipeline stages
- Reviewing code that handles HTTP responses or LLM output
Quick Rules
Credentials:
- Never hardcode or use real defaults. Fail fast if missing. Always create
.env.example.
APIs:
- Always timeout (30s). Only retry transient errors (429, 5xx). Always validate response structure.
Tests:
- Mock external APIs. Set
random_state=42. Target 80%+ coverage. Test behavior, not internals.
Pipelines:
- Each stage is independently runnable. Validate input before processing. Include metadata in every output. Fail fast on invalid data.
Details
Read references/credentials.md, references/api-clients.md, references/testing.md, and references/pipelines.md for full examples and anti-patterns.
What ships with it
4 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.
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 · 37 lines · 44 tokens per session scan A f8a8b5200b60
python-patterns is a skill published in the GitHub repository Benkapner/claude-code-basecamp (17 stars, last pushed 15d ago), licensed MIT. It adds 44 tokens to every session and 324 once invoked, about $0.0002 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 2026-09-04.
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