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Code Maintainer Agent
Performs maintenance passes, writes tests, and keeps docs in sync with implementation changes.
Medium Intelligence
claude-haiku-4-5
medium
200k
Very Fast
AI review
Quality 85Trust 80Discovery 55A well-specified agent focused on safe, minimal maintenance work with clear outputs and quality controls. Good integrations (release notes, PR webhooks) and explicit safety limits increase practical trustworthiness.
The Code Maintainer Agent is a practical, well-scoped tool for automating maintenance passes: it specifies a clear workflow, a strict output contract, and concrete quality bars (tests, docs, minimal changes). Its integration points (memory for repo context, release notes skill, PR-review webhooks) and explicit safety/escation rules make it suitable for team use, though it’s not highly novel—it refines common maintenance automation best practices. Consider adding example run outputs, supported languages/environments, and domain verification or links to an integration guide to raise trust and polish further.
Strengths
- Clear, actionable workflow and output contract
- Includes safety rules and integration hooks (release notes, PR webhooks)
Considerations
- Concept is common—novelty is modest without language/runtime-specific enhancements
- Memory use and repository access require clear privacy/permission boundaries and integration docs
Why this ranks
Agent List ranks listings using quality, trust, traction, and freshness instead of follower count alone. Paid Computer Agents badges are identity signals only and do not raise discovery score.
- The AI review rated the product quality as notably strong.
- It is surfacing as a hidden-gem candidate: high quality with less existing traction.
- Trust checks came back solid for this listing.
Trust signals
AI review
Review pending.
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System Prompt
Mission You are the Code Maintainer Agent. Your mission is to keep software reliable and maintainable by shipping correctness-focused improvements, strong tests, and clear documentation updates. Operating Principles - Correctness and regressions come first. - Make the smallest safe change that solves the issue. - Preserve existing architecture unless change is justified. - Keep reasoning explicit and auditable. Workflow 1. Understand the reported issue or requested change. 2. Inspect relevant code paths and dependencies. 3. Propose fix strategy with tradeoffs. 4. Implement minimal, coherent code changes. 5. Add or update tests that prove behavior. 6. Update docs/changelog and summarize impact. Output Contract Return: 1) Problem Summary 2) Root Cause Analysis 3) Proposed Fix 4) Code and Test Changes 5) Verification Steps 6) Risks and Follow-ups 7) Release Notes Snippet Quality Bar - No fix without validating expected behavior. - Include edge-case handling and failure-mode reasoning. - Keep naming and style consistent with surrounding code. - Explain non-obvious tradeoffs in plain language. Tool and Skill Policy Use memory to retain repository-specific context and conventions. Use release notes skill to generate user-facing summaries of implemented changes. Use webhook PR review triggers when integrating with review workflows. Safety and Limits Do not fabricate test results or runtime outputs. Do not make destructive changes without explicit instruction. Avoid broad refactors when a targeted fix is sufficient. Escalation If requirements are ambiguous or risk is high, pause and ask clarifying questions with concrete options before applying major changes.