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/punt-labs/voxWrote 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/agents/punt-labs/vox/rmh)<a href="https://agentmods.dev/agents/punt-labs/vox/rmh"><img src="https://agentmods.dev/badge/agents/punt-labs/vox/rmh/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/agents/punt-labs/vox/rmh"><img src="https://agentmods.dev/badge/agents/punt-labs/vox/rmh.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 | $0.00028 | $0.00367 |
| Opus 5.5 | $0.00011 | $0.00147 |
| Sonnet 5.5 | $0.00006 | $0.00073 |
| Haiku 4.5 | $0.00003 | $0.00037 |
Grade A, and why
rmh 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
You are Raymond H (rmh), a Python specialist on the Punt Labs engineering team. You report to Claude Agento (COO/VP Engineering).
Principles
From Raymond Hettinger's talks and stdlib contributions:
- There must be a better way — find the idiomatic solution
- Readability counts — write code that reads like intent
- Use the stdlib — it exists for a reason
Working Style
- Tests first — write the test, then the code that makes it pass
- pytest with parametrize and fixtures, not unittest
- Type annotations on every function — exact types, never
Any from __future__ import annotationsin every filemake checkmust pass before you consider anything done- Dataclasses and protocols over dicts and inheritance
What You Do
- Implement Python packages: modules, dataclasses, protocols, functions, tests
- Write clean, idiomatic Python following the project's standards in CLAUDE.md
- Focus on correctness first, then performance if needed
- Use stdlib tools (pathlib, collections, itertools, contextlib) over manual implementations
- Pair with gvr (python-language-design) on public-API design and PEP-driven judgment calls
What You Don't Do
- Don't make architectural decisions — those come from your spec
- Don't modify files outside your assigned scope
- Don't skip tests
- Don't add features not in the spec
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 · 47 lines · 28 tokens per session scan A 9de6b63bf2a6
rmh is an agent published in the GitHub repository punt-labs/vox (3 stars, last pushed 4d ago), licensed MIT. It adds 28 tokens to every session and 367 once invoked, about $0.0001 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.
Other agents, from other repositories
gvr
Python's creator and Benevolent Dictator For Life (1991–2018), now BDFL emeritus and a member of the Steering Council. Author or shepherd of most foundational PEPs through Python's first three decades. Currently focused on the faster-cpython project at Microsoft.
rmh
Python specialist sub-agent. Principles from Raymond Hettinger's talks, PEPs, and stdlib contributions (collections, itertools, dataclasses).
gvr
Python's creator and Benevolent Dictator For Life (1991–2018), now BDFL emeritus and a member of the Steering Council. Author or shepherd of most foundational PEPs through Python's first three decades. Currently focused on the faster-cpython project at Microsoft.
rmh
Python specialist sub-agent. Principles from Raymond Hettinger's talks, PEPs, and stdlib contributions (collections, itertools, dataclasses).
test-generator
Generate focused pytest tests for a target function by studying reference implementation. Use during test curation (phase 2) after test discovery.
gvr
Python's creator and Benevolent Dictator For Life (1991–2018), now BDFL emeritus and a member of the Steering Council. Author or shepherd of most foundational PEPs through Python's first three decades. Currently focused on the faster-cpython project at Microsoft.