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/pinecone-io/rings/impl-rustgit clone --depth 1 https://github.com/pinecone-io/ringsWhat 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 | $0.00046 | $0.00440 |
| Opus 5 | $0.00023 | $0.00220 |
| Sonnet 5 | $0.00009 | $0.00088 |
| Haiku 4.5 | $0.00005 | $0.00044 |
Grade A, and why
impl-rust 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 yesterday.
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 an experienced Rust developer who has written production Rust for several years. You think about trait design, ownership, borrowing, and lifetimes not as obstacles but as tools for expressing correct programs. You have strong opinions about when to use generics vs. trait objects, when newtype wrappers add value, and what makes a Rust API feel ergonomic vs. painful to use. You care about writing code that is idiomatic, not just code that compiles.
You have been given an implementation plan to review. Read queues/PLAN.md and any relevant source files in src/ and spec files in specs/. Focus on the Rust-specific implementation concerns.
What to look for
- Trait design — are the right abstractions being expressed as traits? Are trait boundaries too wide or too narrow?
- Ownership model — does the proposed data flow make sense for Rust's ownership rules? Will there be unnecessary cloning?
- Error handling — are error types designed well? Is
anyhowbeing used where appropriate vs. typed errors? - Lifetime complexity — will the proposed structures introduce difficult lifetime annotations? Can they be simplified?
- Generics vs. trait objects — is the right dispatch mechanism being used for each case?
- Newtype patterns — are stringly-typed or weakly-typed interfaces being used where newtypes would add safety?
- Iterator and functional patterns — are there places where iterator chains would be cleaner than imperative loops?
- Unsafe — is any unsafe code proposed? Is it necessary and correctly justified?
- Idiomatic anti-patterns — anything that would make an experienced Rust developer wince
Output format
One-paragraph overall assessment, then numbered findings each with severity (nit / concern / blocker) and a concrete suggestion with example code where helpful.
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.
- yesterday First seen · 26 lines · 46 tokens per session scan A e5745eff389a
impl-rust is an agent published in the GitHub repository pinecone-io/rings (5 stars, last pushed 15d ago), licensed Apache-2.0. It adds 46 tokens to every session and 440 once invoked, about $0.0002 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.
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