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/rishapgandhi/python-skills/python-standardsnpx skills add rishapgandhi/python-skills --skill python-standardsgit clone --depth 1 https://github.com/rishapgandhi/python-skillsWhat 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 | $0.00016 | $0.00503 |
| Opus 5 | $0.00008 | $0.00251 |
| Sonnet 5 | $0.00003 | $0.00101 |
| Haiku 4.5 | $0.00002 | $0.00050 |
Grade A, and why
python-standards 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 yesterday.
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 AI-SDLC Standards
Overview
This skill provides the AurigaIT Python enterprise coding standards. All code generated must follow these standards.
Prerequisites
- Python 3.11+ project
- One of: FastAPI, Django, DRF, or Flask
Instructions
Before Writing Code
- Read
skills/common/code-style.md— always loaded. - Identify the framework and read
skills/{framework}/SKILL.md. - Follow layer discipline: API → Service → Repository → Model.
Non-Negotiable Rules
- 4 spaces indentation, no tabs
- Full type annotations on all function signatures
- No hardcoded secrets — pydantic-settings only
- structlog for all logging — never print()
- ORM/repository for DB access — no raw SQL unless parameterised
- Tests mandatory — 80% coverage minimum
- All endpoints authenticated unless explicitly public
- Never bare
except:— catch specific exceptions - Monetary values: Decimal, never float
Skill Files
Load from skills/common/ based on task:
| Task | File |
|---|---|
| Any Python | code-style.md |
| New project | folder-structure.md |
| Errors | error-handling.md |
| Logging | logging.md |
| Security | security.md, api-auth.md |
| Tests | testing.md |
| Database | db-design.md, data-migrations.md |
| Performance | performance.md |
| CI/CD | ci-cd.md |
| Deploy | deployment.md |
| Monitoring | observability.md |
| Async/Events | async-patterns.md |
| Multi-service | microservices.md |
| Feature flags | feature-flags.md |
| Dependencies | dependency-management.md |
| LLM/AI | llm-patterns.md |
Rules
rules/api-design.md— REST conventionsrules/git-workflow.md— Branching, releasesrules/code-review.md— Review process
Verification
- Code passes
ruff check . - Code passes
mypy app/ --strict - Tests pass with
pytest --cov-fail-under=80
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.
- yesterday First seen · 71 lines · 16 tokens per session scan A 9a9135d7ff42
python-standards is a skill published in the GitHub repository rishapgandhi/python-skills (4 stars, last pushed 3mo ago), licensed MIT. It adds 16 tokens to every session and 503 once invoked, about $0.0001 per session on Opus 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 2026-08-31.
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