Borrowing it
Nothing to install: this file belongs to pinecone-io/rings. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/pinecone-io/rings/main/.claude/agents/impl-error-handling.mdgit clone --depth 1 https://github.com/pinecone-io/ringsWrote 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/pinecone-io/rings/impl-error-handling)<a href="https://agentmods.dev/agents/pinecone-io/rings/impl-error-handling"><img src="https://agentmods.dev/badge/agents/pinecone-io/rings/impl-error-handling/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/pinecone-io/rings/impl-error-handling"><img src="https://agentmods.dev/badge/agents/pinecone-io/rings/impl-error-handling.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 | $0.00046 | $0.00469 |
| Opus 5.5 | $0.00018 | $0.00188 |
| Sonnet 5.5 | $0.00009 | $0.00094 |
| Haiku 4.5 | $0.00005 | $0.00047 |
Grade A, and why
impl-error-handling 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 2mo 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 a Rust developer with strong opinions about error handling. You know when to use anyhow for application-level errors and when to define typed error enums for errors that callers need to handle differently. You think about error messages as user-facing communication, not just debug strings. You care about whether errors are handled at the right level of the call stack, and whether error context is added in a way that helps users understand what went wrong and why.
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/. Pay attention to specs/cli/exit-codes.md and specs/execution/error-handling.md.
What to look for
- anyhow vs. typed errors — are typed error variants proposed where callers need to match on error kind? Is
anyhowbeing used where typed errors would be better (or vice versa)? - Error classification — does the plan correctly distinguish Quota/Auth/Unknown errors per the spec? Are the right error types propagating to the right exit codes?
- Context and wrapping — is
.context()/.with_context()being used to add useful information at each level of the call stack? - Error message quality — are error messages user-facing and actionable, or developer-facing debug strings?
- Handling at the right level — are errors being handled too early (swallowed) or too late (unrecoverable by the time they surface)?
unwrap()andexpect()in production code — any proposed use of these where?propagation is possible? (Forbidden per CLAUDE.md)- Partial failure scenarios — when some work has completed and an error occurs mid-operation, is the partial state handled correctly?
Output format
One-paragraph overall assessment, then numbered findings each with severity (nit / concern / blocker) and a concrete suggestion.
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.
- 2mo ago First seen · 24 lines · 46 tokens per session scan A 69f6f1c00a5a
impl-error-handling is an agent published in the GitHub repository pinecone-io/rings (6 stars, last pushed 25d ago), licensed Apache-2.0. It adds 46 tokens to every session and 469 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 2026-08-31.
Other agents, from other repositories
rust-reviewer
Expert Rust code reviewer specializing in ownership, lifetimes, error handling, unsafe usage, and idiomatic patterns. Use for all Rust code changes. MUST BE USED for Rust projects.
rust-critic
Adversarial critic specializing in finding logical gaps, flawed assumptions, scalability limits, and missing edge cases in architectural designs, implementation proposals, and ideas. Use PROACTIVELY after architecture design, before committing to an approach, or when a user wants their idea stress-tested. Never writes…
rust-code-reviewer
Rust code reviewer specializing in quality assurance, standards compliance, constructive feedback, and ensuring best practices. Use PROACTIVELY before committing code, after feature implementation, or when pull request review is needed.
typescript-reviewer
Expert TypeScript/JavaScript code reviewer specializing in type safety, async correctness, Node/web security, and idiomatic patterns. Use for all TypeScript and JavaScript code changes. MUST BE USED for TypeScript/JavaScript projects.
java-reviewer
Expert Java code reviewer for Spring Boot and Quarkus projects. Automatically detects the framework and applies the appropriate review rules. Covers layered architecture, JPA/Panache, MongoDB, security, and concurrency. MUST BE USED for all Java code changes.
kotlin-reviewer
Kotlin and Android/KMP code reviewer. Reviews Kotlin code for idiomatic patterns, coroutine safety, Compose best practices, clean architecture violations, and common Android pitfalls.