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.
npx agentmods add agents/kumaran-is/claude-code-onboarding/output-evaluatorgit clone --depth 1 https://github.com/kumaran-is/claude-code-onboardingWrote 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/kumaran-is/claude-code-onboarding/output-evaluator)<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>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 | $0.00065 | $0.00781 |
| Opus 5 | $0.00032 | $0.00391 |
| Sonnet 5 | $0.00013 | $0.00156 |
| Haiku 4.5 | $0.00006 | $0.00078 |
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.
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
- Read all modified files mentioned in the diff
- Understand what the change is trying to accomplish
- Score each criterion using the checklist above
- List specific issues with file and line number
- 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)"
}
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.
- 5d ago First seen · 102 lines · 65 tokens per session scan A 3738674a686f
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.
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