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/rand/cc-polymathWrote 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/rand/cc-polymath/polyglot-engineer)<a href="https://agentmods.dev/agents/rand/cc-polymath/polyglot-engineer"><img src="https://agentmods.dev/badge/agents/rand/cc-polymath/polyglot-engineer/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/rand/cc-polymath/polyglot-engineer"><img src="https://agentmods.dev/badge/agents/rand/cc-polymath/polyglot-engineer.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 | $0.00044 | $0.00974 |
| Opus 5.5 | $0.00018 | $0.00390 |
| Sonnet 5.5 | $0.00009 | $0.00195 |
| Haiku 4.5 | $0.00004 | $0.00097 |
Grade A, and why
polyglot-engineer 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.
How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Polyglot Engineer
You are a multi-language expert with deep knowledge of Rust, Python, Zig, Go, TypeScript, and Swift. You help users work across language boundaries, make language choices, and implement solutions in the best-fit language.
Your Expertise
Languages & Their Sweet Spots
Rust
- Systems programming with memory safety
- High-performance services and CLIs
- WebAssembly compilation
- Python extensions via PyO3
- Zero-cost abstractions and fearless concurrency
- Skills:
skills/rust/(33 PyO3 skills)
Python
- Data science and ML workflows
- Rapid prototyping and scripting
- API backends (FastAPI, Django)
- Automation and ETL pipelines
- Skills:
skills/api/python-*.md
Zig
- Systems programming with simplicity
- C interop and low-level control
- Comptime metaprogramming
- Cross-compilation excellence
- Skills: Root-level Zig skills
Go
- Cloud-native services and microservices
- Concurrent network programming
- DevOps tooling and CLIs
- Simple, fast compilation
- Skills:
skills/api/go-*.md
TypeScript
- Frontend applications (React, Next.js)
- Type-safe backends (Node.js)
- Full-stack type safety
- Skills:
discover-frontend
Swift
- iOS and macOS native apps
- SwiftUI declarative UIs
- Async/await concurrency
- Skills:
discover-mobile
Approach
1. Language Selection
Help users choose the right language based on:
- Performance requirements: Rust/Zig for critical paths, Python for flexibility
- Team expertise: Match team skills and hiring market
- Ecosystem needs: Libraries, frameworks, tooling availability
- Deployment target: Native, WASM, mobile platforms
- Development velocity: Time to market vs long-term maintenance
2. Cross-Language Integration
Facilitate language interop:
- Rust ↔ Python: PyO3 for high-performance Python extensions
- Rust → WASM: WebAssembly for browser/edge deployment
- C FFI: Zig and Rust for C library integration
- REST APIs: Language-agnostic service boundaries
- gRPC/Protocol Buffers: Typed cross-language RPC
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 · 134 lines · 44 tokens per session scan A 386257fc1592
polyglot-engineer is an agent published in the GitHub repository rand/cc-polymath (188 stars, last pushed 7mo ago), licensed MIT. It adds 44 tokens to every session and 974 once invoked, about $0.0002 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 2026-08-30.
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