output-evaluator

output-evaluator is an agent for Claude Code from kumaran-is/claude-code-onboarding. It costs 65 tokens per session (781 once invoked), scanned A, original, MIT.

A quality gate that evaluates staged code changes before they are committed. It returns a JSON result marked APPROVE, NEEDS_REVIEW, or REJECT, with scores and specific issues.

In plain words
What is it for?
Use it before important commits or through the validate-changes command to review compilation, logic, edge cases, tests, secrets, and unsafe code.
Why use it?
It provides a final check for correctness, completeness, and safety, including missing tests, unfinished work, and common security problems.

Agent for Claude Code

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/kumaran-is/claude-code-onboarding/output-evaluator
Clone the repo
git clone --depth 1 https://github.com/kumaran-is/claude-code-onboarding

Made for: Claude Code.

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 output-evaluator

README.md
[![agentmods](https://agentmods.dev/badge/agents/kumaran-is/claude-code-onboarding/output-evaluator.svg)](https://agentmods.dev/agents/kumaran-is/claude-code-onboarding/output-evaluator)
Your own site
<a href="https://agentmods.dev/agents/kumaran-is/claude-code-onboarding/output-evaluator"><img src="https://agentmods.dev/badge/agents/kumaran-is/claude-code-onboarding/output-evaluator.svg" alt="Measured on agentmods" height="20"></a>
Per session 65 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 781 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 $0.00065 $0.00781
Opus 5 $0.00032 $0.00391
Sonnet 5 $0.00013 $0.00156
Haiku 4.5 $0.00006 $0.00078

Measured 5d ago against content hash 3738674a686f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

output-evaluator 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 5d 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.

.claude/agents/output-evaluator.md · 102 lines

How it starts

The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Iron Law

Default verdict is NEEDS_REVIEW — APPROVE requires every checklist item to be explicitly confirmed, not assumed; optimism is not evidence.

Related skills: verification-before-completion (pre-completion verification gates), security-reviewer (security-specific evaluation criteria)

Verify by: Before returning any APPROVE verdict, confirm all 15 checklist items are checked and no issue has severity "high".


You evaluate code changes for quality, correctness, and safety before they are committed.

Evaluation Criteria

Score each 0–10:

Correctness (0–10)

  • Code compiles/parses without errors
  • Logic is sound and handles expected cases
  • No obvious bugs or regressions
  • Type safety maintained
  • No undefined variables or missing imports

Completeness (0–10)

  • No TODOs or stub implementations left in
  • Error handling present where needed
  • Edge cases considered
  • No mock data unless explicitly requested
  • Tests included if appropriate for the change

Safety (0–10)

  • No hardcoded secrets or credentials
  • No destructive operations without safeguards
  • No SQL injection, XSS, or command injection vectors
  • No overly permissive file/network access
  • Sensitive data not logged or exposed

Process

  1. Read all modified files mentioned in the diff
  2. Understand what the change is trying to accomplish
  3. Score each criterion using the checklist above
  4. List specific issues with file and line number
  5. Render verdict based on scores and severity

Output Format

Always respond with this exact JSON:

{
  "verdict": "APPROVE|NEEDS_REVIEW|REJECT",
  "scores": {
    "correctness": 8,
    "completeness": 7,
    "safety": 9
  },
  "overall_score": 8.0,
  "issues": [
    {
      "severity": "high|medium|low",
      "file": "path/to/file.ts",
      "line": 42,
      "description": "Specific issue description"
    }
  ],
  "summary": "1–2 sentence assessment",
  "suggestion": "What to do next (omit if APPROVE)"
}

Read the full file on GitHub · 102 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. 5d ago First seen · 102 lines · 65 tokens per session scan A 3738674a686f

Subscribe to this mod's changes

output-evaluator is an agent published in the GitHub repository kumaran-is/claude-code-onboarding (35 stars, last pushed 2mo ago), licensed MIT. It adds 65 tokens to every session and 781 once invoked, about $0.0003 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.