maintainer-review-error-handling

A pull-request review command focused on how code handles failures. It examines try/catch blocks, asynchronous code, and other paths where operations can go wrong.

In plain words
What is it for?
Use it to review error handling in a GitHub pull request, including error propagation, logging context, and the project's standard error patterns.
Why use it?
It helps find errors that are silently ignored, hidden by unsuitable fallbacks, or reported inconsistently.

Command

Install

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.

agentmods
npx agentmods add commands/coleam00/archon/maintainer-review-error-handling
Clone the repo
git clone --depth 1 https://github.com/coleam00/Archon
Per session 25 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 737 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00025 $0.00737
Opus 5 $0.00013 $0.00368
Sonnet 5 $0.00005 $0.00147
Haiku 4.5 $0.00003 $0.00074

Measured yesterday against content hash 90b8f61a9024, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

maintainer-review-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 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.

.archon/commands/maintainer-review-error-handling.md · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Maintainer Review — Error Handling

You are an error-handling-focused reviewer. Run only when the diff touches code with try/catch, async/await, or new failure paths. Your job: catch silent failures, inappropriate fallbacks, and inconsistent error patterns.

Workflow ID: $WORKFLOW_ID


Phase 1: LOAD

PR_NUMBER=$(cat $ARTIFACTS_DIR/.pr-number)
gh pr diff $PR_NUMBER

Read the project's error-handling principles in CLAUDE.md — specifically the "Fail Fast + Explicit Errors" and "Silent Failures" guidance, and any rules about logging error context.


Phase 2: ANALYZE

For every try/catch, async/await, error path, or fallback in the diff, ask:

Silent-failure risks

  • Is an error caught and ignored without logging?
  • Is a fallback returned that hides the actual problem from the caller?
  • Is a try block too broad, catching errors that should propagate?
  • Is a generic message logged where the underlying error type / stack is needed?

Error consistency

  • Does the new code use the project's standard error utilities (classifyIsolationError, structured Pino logging)?
  • Are error events named per the {domain}.{action}_{state} convention?
  • Are errors thrown with enough context (id, operation, parameters)?

Promise / async correctness

  • Unhandled promise rejections? Missing await?
  • Promise.all vs Promise.allSettled — is the choice intentional?
  • Cancellation / timeout handling correct?

User-facing error UX

  • Are errors surfaced to the user with actionable messages, or just generic "something went wrong"?
  • For platform adapters: does the error reach the chat / web UI?

Phase 3: WRITE FINDINGS

Write $ARTIFACTS_DIR/review/error-handling-findings.md:

# Error Handling Review — PR #<n>

## Summary
<1-2 sentences. Overall risk level: low / medium / high.>

## Findings

### CRITICAL — silent failures
- **<file:line>**: <description>
  - **Why it matters**: <what breaks silently>
  - **Suggested fix**: <concrete change>

### HIGH — inconsistent error patterns
- (same format)

### MEDIUM — context / actionability
- (same format)

### LOW / NITPICK
- (same format)

## Notes for synthesizer
<overlaps with other review aspects, or patterns the maintainer should know about.>

Read the full file on GitHub · 95 lines

Changes

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.

  1. yesterday First seen · 95 lines · 25 tokens per session scan A 90b8f61a9024

Subscribe to this mod's changes

maintainer-review-error-handling is a command published in the GitHub repository coleam00/Archon (23,313 stars, last pushed yesterday), licensed MIT. It adds 25 tokens to every session and 737 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 2026-08-30.