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/genkit-ai/genkit/python-expertnpx skills add genkit-ai/genkit --skill python-expertgit clone --depth 1 https://github.com/genkit-ai/genkitWhat 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 | $0.00026 | $0.00221 |
| Opus 5 | $0.00013 | $0.00111 |
| Sonnet 5 | $0.00005 | $0.00044 |
| Haiku 4.5 | $0.00003 | $0.00022 |
Grade A, and why
python-expert 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 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.
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 expert
When working with Python in this workspace, follow these conventions:
- Type-hint everything. Parameters, returns, attributes, locals where the type isn't obvious.
- Prefer dataclasses for simple data containers over hand-written
__init__s. - Raise specific exceptions (
ValueError,KeyError,LookupError) with informative messages. Avoid bareException. - Don't swallow errors. Don't
except Exception: pass. Let unexpected errors propagate. - Match the surrounding style. If the file uses single quotes and 4-space indent, match it. Don't reformat unrelated lines.
- Comments explain why, not what. Skip narration like
# loop over items; only comment non-obvious intent. - Small, focused edits. When fixing a bug, change only what's necessary. Leave the rest of the file untouched so the diff stays readable.
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 · 17 lines · 26 tokens per session scan A 1260a0c3cb15
python-expert is a skill published in the GitHub repository genkit-ai/genkit (6,389 stars, last pushed yesterday), licensed Apache-2.0. It adds 26 tokens to every session and 221 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 2026-08-30.
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