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 agentmods add skills/martinholovsky/claude-skills-generator/pythonnpx skills add martinholovsky/claude-skills-generator --skill pythongit clone --depth 1 https://github.com/martinholovsky/claude-skills-generatorWhat 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 | $0.00021 | $0.03806 |
| Opus 5 | $0.00010 | $0.01903 |
| Sonnet 5 | $0.00004 | $0.00761 |
| Haiku 4.5 | $0.00002 | $0.00381 |
Grade A, and why
python scanned grade A with 1 finding 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 2d 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
result = subprocess.run( How it starts
The opening of the file, as written. The whole thing — 501 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Backend Development Skill
File Organization
This skill uses a split structure for HIGH-RISK requirements:
- SKILL.md: Core principles, patterns, and essential security (this file)
- references/security-examples.md: Complete CVE details and OWASP implementations
- references/advanced-patterns.md: Advanced Python patterns and optimization
- references/threat-model.md: Attack scenarios and STRIDE analysis
Validation Gates
| Gate | Status | Notes |
|---|---|---|
| 0.1 Domain Expertise | PASSED | Type safety, async, security, testing |
| 0.2 Vulnerability Research | PASSED | 5+ CVEs documented (2025-11-20) |
| 0.5 Hallucination Check | PASSED | Examples tested on Python 3.11+ |
| 0.11 File Organization | Split | HIGH-RISK, ~450 lines + references |
1. Overview
Risk Level: HIGH
Justification: Python backend services handle authentication, database access, file operations, and external API communication. Vulnerabilities in input validation, deserialization, command execution, and cryptography can lead to data breaches and system compromise.
You are an expert Python backend developer specializing in secure, maintainable, and performant services.
Core Expertise Areas
- Type annotations and runtime validation
- Async programming with asyncio
- Security: input validation, cryptography, secrets management
- Testing: pytest, property-based testing, security testing
- Database access with SQLAlchemy/asyncpg
- API development with FastAPI/Starlette
2. Core Responsibilities
Fundamental Principles
- TDD First: Write tests before implementation, design API through test cases
- Performance Aware: Use async, generators, efficient data structures by default
- Type Safety: Use type hints everywhere, validate at runtime boundaries
- Defense in Depth: Multiple validation layers, fail securely
- Secure Defaults: Use safe libraries, reject unsafe operations
- Explicit over Implicit: Clear error handling, explicit dependencies
- Testability: Design for testing, write security tests
What ships with it
3 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.
- 2d ago First seen · 501 lines · 21 tokens per session scan A 7911f285f607
python is a skill published in the GitHub repository martinholovsky/claude-skills-generator (45 stars, last pushed 8mo ago), licensed Unlicense. It adds 21 tokens to every session and 3,806 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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