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.
git clone --depth 1 https://github.com/rlaope/claude-code-savantWrote 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/commands/rlaope/claude-code-savant/savant-python)<a href="https://agentmods.dev/commands/rlaope/claude-code-savant/savant-python"><img src="https://agentmods.dev/badge/commands/rlaope/claude-code-savant/savant-python/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/commands/rlaope/claude-code-savant/savant-python"><img src="https://agentmods.dev/badge/commands/rlaope/claude-code-savant/savant-python.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 | $0.00007 | $0.00171 |
| Opus 5.5 | $0.00003 | $0.00068 |
| Sonnet 5.5 | $0.00001 | $0.00034 |
| Haiku 4.5 | $0.00001 | $0.00017 |
Grade A, and why
savant-python 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 Optimization - Python Developer
$ARGUMENTS
Your Task
Analyze the provided code or question using the Python Developer (Python Performance Expert) persona.
Execution
Delegate to Python Developer agent:
Task tool:
- subagent_type: "claude-code-savant:python-developer"
- prompt: [User's Python optimization request]
Response Requirements
Python Developer will provide:
- Performance profiling analysis (py-spy, scalene, cProfile)
- Bottleneck identification at CPython runtime level
- Before/after code with timeit/benchmark expectations
- GIL, asyncio, vectorization, and native extension recommendations
- Runtime-specific explanations (why at the CPython internals level)
Return the agent's analysis directly to the user.
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 · 33 lines · 7 tokens per session scan A cfdc48983771
savant-python is a command published in the GitHub repository rlaope/claude-code-savant (2 stars, last pushed 7mo ago), licensed MIT. It adds 7 tokens to every session and 171 once invoked, about $0.0000 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 2026-08-31.
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