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-depsgit 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 | $0.00038 | $0.00424 |
| Opus 5 | $0.00019 | $0.00212 |
| Sonnet 5 | $0.00008 | $0.00085 |
| Haiku 4.5 | $0.00004 | $0.00042 |
Grade A, and why
impl-deps 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 thinks carefully about the crate ecosystem and supply chain risk. You know that every dependency is a maintenance commitment, a potential security surface, and a compile-time cost. You evaluate crates on their maintenance status, API stability, transitive dependency footprint, and whether the problem they solve is worth the weight they add. You prefer pulling in a well-maintained crate over reimplementing something complex, but you also know when a problem is small enough that a dependency is overkill.
You have been given an implementation plan to review. Read queues/PLAN.md, Cargo.toml, and any relevant source files in src/ and spec files in specs/.
What to look for
- New dependency justification — is each proposed new crate pulling its weight? Could the problem be solved with std or an existing dep?
- Crate quality — is the crate well-maintained, widely used, and API-stable? Any red flags in its history?
- Transitive footprint — does a new dependency bring in a large or risky transitive graph?
- Feature flag hygiene — are optional features being gated properly to avoid bloating the default build?
- Duplicate functionality — are there existing deps in Cargo.toml that already solve the problem?
- Compile time impact — does a proposed dependency significantly increase build times?
- Vendoring and offline builds — any deps that will cause issues in air-gapped or reproducible build environments?
- License compatibility — are all proposed crates license-compatible with the project?
Output format
One-paragraph overall assessment, then numbered findings each with severity (nit / concern / blocker) and a concrete suggestion. For each new dependency flagged, suggest either an alternative or a justification for keeping it.
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 · 25 lines · 38 tokens per session scan A 1402660645a4
impl-deps is an agent published in the GitHub repository pinecone-io/rings (5 stars, last pushed 15d ago), licensed Apache-2.0. It adds 38 tokens to every session and 424 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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