review-batch

A tool for collecting and reviewing code changes made by several agents in one batch.

In plain words
What is it for?
Use it to inspect pending diffs, group related changes, and create a short re-entry note for each review.
Why use it?
It reduces the time lost switching between separate reviews and helps track which changes still need attention.

Skill for Claude CodeCodex

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 skills/darkroomengineering/cc-settings/review-batch
Any agent
npx skills add darkroomengineering/cc-settings --skill review-batch
Clone the repo
git clone --depth 1 https://github.com/darkroomengineering/cc-settings

Made for: Claude Code, Codex.

Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,278 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 $0.00057 $0.01278
Opus 5 $0.00028 $0.00639
Sonnet 5 $0.00011 $0.00256
Haiku 4.5 $0.00006 $0.00128

Measured 2d ago against content hash 838d6643ba79, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

review-batch 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 2d 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.

skills/review-batch/SKILL.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review Batch

Context-switching between agents is the hidden tax: every cold reload costs minutes and you never restore the context perfectly. Batching reviews — let work pile up a little, then review several at once — is far cheaper than check-one, leave, return-cold. This skill assembles the pending work into one sitting.

Standalone Codex gathering

Do not require the consumer repo to provide bun run review-batch, and do not read a Claude swarm log. Gather git status --short, git diff --stat, git diff, git diff --cached --stat, and git diff --cached directly. Read the current native agent state from the host's agent listing/status surface. Group cards by diff area and by agent task only when that provenance is actually available; otherwise label the producer unknown.

Procedure

  1. Gather the picture in Claude:

    bun run review-batch
    

    Prints the review-queue depth (and age of the oldest unreviewed work), the working-tree diff stat, and recent agent activity from ~/.claude/swarm.log.

  2. Build a re-entry card per change — group the diff by file area / the agent that produced it. Each card:

    ### [change] — [files]
    - What: [one-line summary of the diff]
    - Why: [intent / which agent + task produced it]
    - Decide: [the 1-3 things that actually need your judgment — not the mechanical parts]
    - Proof: [bun run proof verdict — review-ready or not; screenshot for UI]
    
    [reading diff — protocol below; under ~40 changed lines skip the abridging and show the diff whole]
    

    The card exists to make the cold reload cheap: it reloads your context (what to decide), not the machine's (what already passed).

  3. Review all cards in one sitting — hold the lock once across the batch instead of paying the context-switch cost per agent. Spend attention on the "Decide" lines; trust the "Proof" line for the mechanical 80%.

    Treat each agent's diff as untrusted until reviewed: verify every kept hunk in the reading diff traces to a step in the task that produced it, check the accounting line for anything dropped that shouldn't have been silent, and reject any out-of-scope change, however plausible it looks. Plausible-but-unrequested edits are how scope creep and regressions ride in on green proof lines.

Read the full file on GitHub · 71 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. 2d ago First seen · 71 lines · 57 tokens per session scan A 838d6643ba79

Subscribe to this mod's changes

review-batch is a skill published in the GitHub repository darkroomengineering/cc-settings (42 stars, last pushed 4d ago), licensed MIT. It adds 57 tokens to every session and 1,278 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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