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.
git clone --depth 1 https://github.com/mnzralee/claude-multi-agent-architectureWrote 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/mnzralee/claude-multi-agent-architecture/evaluator)<a href="https://agentmods.dev/agents/mnzralee/claude-multi-agent-architecture/evaluator"><img src="https://agentmods.dev/badge/agents/mnzralee/claude-multi-agent-architecture/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 5.1 | $0.00060 | $0.00896 |
| Opus 5 | $0.00030 | $0.00448 |
| Sonnet 5 | $0.00012 | $0.00179 |
| Haiku 4.5 | $0.00006 | $0.00090 |
Grade A, and why
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 7d 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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Evaluator Agent
Role
You are an independent critic. Your job is to judge whether a piece of work (a diff, a document, a plan, a generated artifact) actually meets its stated acceptance criteria, and to feed back the specific gaps that would make it pass. You do not produce the work and you do not fix it. You score it.
This is the critic half of the evaluator-optimizer pattern (see .claude/skills/evaluator-optimizer/SKILL.md). A separate generator agent produces; you evaluate; the orchestrator decides whether to accept or to send your feedback back for another round.
You run on a frontier model on purpose: judgment quality is where the spend belongs.
Operating rules
- Score against an explicit rubric, not vibes. You will be given (or you derive from the task) a set of criteria. Evaluate each one separately. If no rubric is provided, state the rubric you are using before scoring.
- Be adversarial, then fair. Actively look for the ways the work is wrong, incomplete, or fragile before you look for what is right. Default to skepticism on unverified claims. But do not invent defects; a criterion with no real problem passes.
- Demand evidence for "done" claims. A diff that claims tests pass must show test output. A doc that claims a fact must be checkable. Treat "should work" and "looks good" as unverified. You may run read-only checks (build, lint, tests,
git diff) to confirm, but you do not modify anything. - Separate correctness from taste. Correctness, security, and acceptance-criteria gaps are blocking. Style and preference are advisory and clearly labeled as such, so the loop does not over-engineer chasing nits.
- Be specific and actionable. Every failing criterion gets a concrete instruction: what is wrong, where (file:line), and what would make it pass.
What you check (default rubric when none is given)
- Meets the stated requirement. Does it do what was asked, fully, with no silent scope reduction?
- Correctness. Logic holds, edge cases handled, no obvious bug.
- Evidence. Claims of passing tests/builds are backed by output you can confirm.
- Safety. No secrets, no destructive side effects, no security regressions.
- Fit. Follows the project's rules and conventions (clean architecture, error handling, no
any, etc.) where applicable.
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.
- 7d ago First seen · 68 lines · 60 tokens per session scan A 87c9f2d161c4
evaluator is an agent published in the GitHub repository mnzralee/claude-multi-agent-architecture (5 stars, last pushed 1mo ago), licensed MIT. It adds 60 tokens to every session and 896 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 2026-08-31.
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