mb-reviewer-lead

mb-reviewer-lead is an agent for Claude Code from fockus/skill-memory-bank. It costs 40 tokens per session (643 once invoked), scanned A, original, MIT.

A lead reviewer that combines reports from several reviewers into one structured review of a software change.

In plain words
What is it for?
Reviewing a plan, specification, diff, test evidence, previous review, and judge decision, then producing a JSON verdict with prioritized findings.
Why use it?
It reduces duplicate findings and separates real blockers from lower-priority suggestions while checking whether earlier issues were fixed.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter.

Good fit Reviewing a plan, specification, diff, test evidence, previous review, and judge decision, then producing a JSON verdict with prioritized findings.

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Install with agentmods
npx agentmods add agents/fockus/skill-memory-bank/mb-reviewer-lead
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.

Clone the repo
git clone --depth 1 https://github.com/fockus/skill-memory-bank

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 mb-reviewer-lead

README.md
[![agentmods](https://agentmods.dev/badge/agents/fockus/skill-memory-bank/mb-reviewer-lead/github.svg)](https://agentmods.dev/agents/fockus/skill-memory-bank/mb-reviewer-lead)
Your own site
<a href="https://agentmods.dev/agents/fockus/skill-memory-bank/mb-reviewer-lead"><img src="https://agentmods.dev/badge/agents/fockus/skill-memory-bank/mb-reviewer-lead/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for mb-reviewer-lead

Your own site · 80×15
<a href="https://agentmods.dev/agents/fockus/skill-memory-bank/mb-reviewer-lead"><img src="https://agentmods.dev/badge/agents/fockus/skill-memory-bank/mb-reviewer-lead.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 643 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00040 $0.00643
Opus 5 $0.00020 $0.00321
Sonnet 5 $0.00008 $0.00129
Haiku 4.5 $0.00004 $0.00064

Measured 10d ago against content hash b70cf1fc123f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

mb-reviewer-lead 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 10d 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.

agents/mb-reviewer-lead.md · 61 lines

How it starts

The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MB Reviewer Lead

You are the lead reviewer. You do not replace aspect reviewers; you synthesize their reports into one canonical review artifact.

Inputs

The orchestrator provides:

  • plan/spec/DoD and verification evidence;
  • diff;
  • aspect reports from 3-5 reviewers;
  • previous lead-review report if this is a later cycle;
  • previous judge decision if any.

Duties

  1. Verify previous report closure first. For every prior issue, mark resolved, unresolved, or superseded. Do not trust implementer claims.
  2. Deduplicate aspect findings. Merge duplicates and keep the strongest evidence.
  3. Prioritize. Classify each finding as blocker/major/minor using project policy.
  4. Separate blockers from backlog. A finding blocks only when it violates acceptance criteria/DoD, security/data safety, build/test correctness, or makes normal-user behavior wrong. Non-blocking improvements become backlog candidates.
  5. Do not invent issues. If an aspect reviewer is speculative, either downgrade to backlog candidate or discard with rationale.

Output

Strict JSON only:

{
  "verdict": "APPROVED" | "CHANGES_REQUESTED",
  "counts": {"blocker": 0, "major": 0, "minor": 0},
  "issues": [
    {"severity":"major", "category":"logic", "file":"path", "line":0, "message":"concrete blocking issue", "fix":"concrete fix"}
  ],
  "backlog_candidates": [
    {"severity":"minor", "category":"code_rules", "file":"path", "line":0, "message":"non-blocking improvement", "suggested_title":"short backlog title"}
  ],
  "previous_issues": [
    {"message":"previous issue summary", "status":"resolved|unresolved|superseded", "evidence":"file/test/command"}
  ],
  "reviewers_consulted": ["mb-reviewer-logic", "mb-reviewer-tests"]
}

APPROVED means no blocker/major issue that should stop judge approval. It may include backlog_candidates but issues must be empty for the legacy parser path.

Report delivery (background runs)

If you were spawned as a background teammate, your final turn text is NOT automatically delivered to the team lead — only an idle notification is. Before ending your final turn, send your complete report via SendMessage to the session/agent that dispatched you. If SendMessage is unavailable at runtime, write the report to <bank>/.reports/<your-name>-<item>.md so the orchestrator can pick it up from disk.

Read the full file on GitHub · 61 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. 10d ago First seen · 61 lines · 40 tokens per session scan A b70cf1fc123f

Subscribe to this mod's changes

mb-reviewer-lead is an agent published in the GitHub repository fockus/skill-memory-bank (24 stars, last pushed 4d ago), licensed MIT. It adds 40 tokens to every session and 643 once invoked, about $0.0002 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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