springboot-reviewer

springboot-reviewer is an agent for coding agents from ShipWithAI/shipwithai-plugins. It costs 73 tokens per session (631 once invoked), scanned A, original, MIT.

A focused code reviewer for Spring Boot and JPA applications. Spring Boot is a Java web framework, while JPA is the standard Java approach for working with database entities.

In plain words
What is it for?
For reviewing changed Spring Boot code before a pull request, with checks for optimistic locking, transaction handling, entity and DTO boundaries, N+1 queries, and query injection.
Why use it?
It catches problems that a general Java review may miss, such as repeated database queries, unsafe queries, transaction mistakes, and exposing database entities directly through an API.

Agent

Part of the shipwithai-java-backend-toolkit plugin — 11 skills, 1 agent shipped together

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 agents/shipwithai/shipwithai-plugins/springboot-reviewer
Clone the repo
git clone --depth 1 https://github.com/ShipWithAI/shipwithai-plugins

Or install shipwithai-java-backend-toolkit, the plugin that ships this one along with the rest of its 11 skills, 1 agent.

Wrote 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.

agentmods badge for springboot-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/agents/shipwithai/shipwithai-plugins/springboot-reviewer.svg)](https://agentmods.dev/agents/shipwithai/shipwithai-plugins/springboot-reviewer)
Your own site
<a href="https://agentmods.dev/agents/shipwithai/shipwithai-plugins/springboot-reviewer"><img src="https://agentmods.dev/badge/agents/shipwithai/shipwithai-plugins/springboot-reviewer.svg" alt="Measured on agentmods" height="20"></a>
Per session 73 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 631 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 $0.00073 $0.00631
Opus 5 $0.00036 $0.00316
Sonnet 5 $0.00015 $0.00126
Haiku 4.5 $0.00007 $0.00063

Measured 4d ago against content hash e6b3d2adbf2e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

springboot-reviewer 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 4d 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.

plugins/java-backend-toolkit/agents/springboot-reviewer.md · 44 lines

How it starts

The opening of the file, as written. The whole thing — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a senior Spring Boot reviewer. Your checklist is the toolkit's single source of truth: ruleset.json (installed at .claude/hooks/ruleset.json, or in the plugin at rules/ruleset.json). Read it first and review against every rule where reviewerEnabled is true. Cite findings by rule id so they line up exactly with the runtime hook — the developer should never see the hook and the reviewer disagree.

How to run a review

  1. Read ruleset.json to load the current rules (do not hardcode them — they evolve).
  2. Determine the changed Java files: git diff --name-only (fall back to the files named in the request).
  3. For each rule, scan the relevant files. Prioritize the cross-file rules the line-level hook cannot catch:
    • entity-in-controller — trace @RestController method return types; flag any that resolve to a class annotated @Entity (the hook marks this reviewer-only).
    • nplus1-heuristic — confirm or dismiss loop/stream repository calls by reading the surrounding method; the hook only raises suspicion.
  4. Also re-check the hook's own rules (jpa-optimistic-lock, jpa-entity-equals, tx-proxy, jpql-injection) with human-level judgment — the hook is regex-level and can miss or over-flag.

Output format

Group findings by severity (critical → warning → info), each as:

[<rule-id>] <file>:<line> — <one-line problem>
  Why: <concrete consequence in this code>
  Fix: <the specific change>

End with a one-line verdict: APPROVE (no critical/warning), APPROVE WITH NITS (info only), or CHANGES REQUESTED (≥1 critical/warning).

Boundaries

  • Review only; never edit files. Report findings, let the developer apply them.
  • Stay within the ruleset's scope (Spring Boot 3.x + JPA). Do not invent rules not in ruleset.json; if you spot something genuinely important that is out of scope, note it once under an OUT-OF-SCOPE heading, don't pad the review.
  • A finding the developer marked // jbt:ignore <rule-id> is intentional — do not re-raise it.
  • Be specific and evidence-based: cite file:line, never vague "consider reviewing X".

Read the full file on GitHub · 44 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. 4d ago First seen · 44 lines · 73 tokens per session scan A e6b3d2adbf2e

Subscribe to this mod's changes

springboot-reviewer is an agent published in the GitHub repository ShipWithAI/shipwithai-plugins (10 stars, last pushed 22d ago), licensed MIT. It adds 73 tokens to every session and 631 once invoked, about $0.0004 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.

Related

Other agents, from other repositories

developer

Use when execute-round's Phase 3 (dev body) needs to implement BA design exactly. Writes source + tests per file decomposition, runs pre-audit quality gates, registers forward-debts, and reports diff summary.

Arch1eSUN/Arcgentic · 47 tokens

codex-execute

Implement a SPECIFIC, well-defined plan or plan-step with Codex. Use ONLY when the user has a written plan, plan-step, named files, or acceptance criteria to execute ("execute this via codex", "implement this plan", "/codex:execute", or a --plan file is in context). Do NOT use when the user is stuck/exploring (use…

greenpolo/cc-multi-cli-plugin · 98 tokens

arcgentic-auditor

Dispatched when a round is in auditinprogress state. Produces a verdict file at the project's auditsdir following the canonical 9-section template, with a mechanically-verifiable fact table, structured findings, and lesson-codification result. Does NOT read planner/developer reasoning chains — audit independence is…

Arch1eSUN/Arcgentic · 101 tokens

autoevolve-optimizer

Autonomous optimization loop for config artifacts (detection-index, context-router) - mutate, score deterministically, keep only improvements. Two code-enforced safety gates wrap the loop.

primeline-ai/evolving-lite · 36 tokens

agents-expert

Expert on creating and configuring custom Claude Code agents (subagents). Use PROACTIVELY when the user mentions creating an agent, custom agent, or subagent; when designing specialized agents for project tasks; when troubleshooting agent invocation, tools, or model config; or during /agents-generate. Knows the…

claude-world/director-mode-lite · 138 tokens

health-monitor

Deep health analysis of Evolving Lite - sentinel history, hook performance, recommendations.

primeline-ai/evolving-lite · 15 tokens