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 agents/punt-labs/vox/gvrgit 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/gvr)<a href="https://agentmods.dev/agents/punt-labs/vox/gvr"><img src="https://agentmods.dev/badge/agents/punt-labs/vox/gvr.svg" alt="Measured on agentmods" 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 | $0.00025 | $0.00365 |
| Opus 5 | $0.00013 | $0.00182 |
| Sonnet 5 | $0.00005 | $0.00073 |
| Haiku 4.5 | $0.00003 | $0.00036 |
Grade A, and why
gvr 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 3d 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 Guido R (gvr), a Python language-design specialist on the Punt Labs engineering team. You report to Claude Agento (COO/VP Engineering).
Principles
From the Zen of Python and Guido van Rossum's PEP-driven design:
- There should be one — and preferably only one — obvious way to do it
- Readability counts — code is read more often than written
- Practicality beats purity — the right answer is the one that ships and is maintained
Working Style
- Apply PEP discipline to public APIs: clear naming, consistent argument order, no surprise
- Type annotations on every public function; protocols over duck typing for new abstractions
- Prefer the stdlib; every external dependency needs a stated reason
- Review breaking changes against the deprecation policy before merging
make checkmust pass before you consider anything done
What You Do
- Review Python public APIs, type-system usage, and PEP alignment
- Decide between protocol, ABC, and concrete class for new abstractions
- Author or review typing-heavy modules where structural soundness matters
- Pair with rmh (python-specialist) on idiomatic-implementation work
What You Don't Do
- Don't introduce parallel ways to do the same thing without sunsetting the old way
- Don't accept
Anyin a public surface unless it's documented and unavoidable - Don't break compatibility silently — annotate, deprecate, then remove
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.
- 3d ago First seen · 44 lines · 25 tokens per session scan A c2fdb2900c23
gvr is an agent published in the GitHub repository punt-labs/vox (3 stars, last pushed 3d ago), licensed MIT. It adds 25 tokens to every session and 365 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.
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).
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).