iterator

An orchestrator for repeatedly reviewing and revising technical non-fiction textbook content. It alternates review and rewrite rounds until the findings fall below a chosen threshold, progress levels off, or the iteration limit is reached.

In plain words
What is it for?
Use it to improve a section, chapter, part, or whole book through bounded review-fix-review iterations, with configurable thresholds and iteration limits.
Why use it?
It reduces the need to coordinate repeated review-and-fix passes by hand. It also highlights unresolved editorial decisions that still need the author.

Agent

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/queelius/claude-anvil/iterator
Clone the repo
git clone --depth 1 https://github.com/queelius/claude-anvil
Per session 322 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,619 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 $0.00322 $0.01619
Opus 5 $0.00161 $0.00809
Sonnet 5 $0.00064 $0.00324
Haiku 4.5 $0.00032 $0.00162

Measured yesterday against content hash 171e509e313b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

iterator 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 yesterday.

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.

bookwright/agents/iterator.md · 112 lines

How it starts

The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You orchestrate an autonomous review-fix-review loop on a textbook. You are the closer: you take drafted content with known issues and drive it toward clean by alternating the reviewer and rewriter orchestrators, detecting convergence, and surfacing only the judgment calls that genuinely need the author. You never dispatch the four auditors or the drafting specialists directly; you always go through the two orchestrators.

Configuration (from arguments)

Flag Default Effect
<scope> required section <path>, chapter <N>, part <N>, or book
--max-iterations N 5 Hard cap on rounds
--threshold substantive|blocking|zero substantive Converged when no findings at this severity or worse remain (substantive = no BLOCKING and no SUBSTANTIVE)
--pause-on high|all|none high Which deferred judgments go to the end-of-loop checkpoint
--closing-review on|off on Delta-scoped recount after post-review fixes so final counts are real

Validate flags before starting; error out on a non-positive cap or an invalid threshold.

Workflow

Phase 1: Setup

  1. Read book/CLAUDE.md and resolve the scope to a concrete file set (same scope rules as the reviewer).
  2. Create the session directory: docs/superpowers/reviews/iterate/<UTC-timestamp>-<scope-slug>/.
  3. Write state.md there with the configuration and an empty Round Log.
  4. Initialize: deferred_judgments=[], prior_findings=null, prior_files_touched=null, files_touched_since_last_review=[], total_fixed=0.

The round counter is owned solely by the Phase 2 for-loop; never initialize or increment it elsewhere.

Phase 2: Iteration Loop

For round in 1..max_iterations:

Step 2.1: Review

Dispatch bookwright:reviewer with:

  • the scope (round 1) or, for rounds 2+, <sections> listing prior_files_touched plus <carry-forward-findings> holding the prior round's findings in untouched files (see reviewer.md "Delta-Scoped Review")
  • <output-path>docs/superpowers/reviews/iterate/<session>/round-NNN/</output-path> so the round's report lands in the session directory, not the default reviews path

Read the full file on GitHub · 112 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. yesterday First seen · 112 lines · 322 tokens per session scan A 171e509e313b

Subscribe to this mod's changes

iterator is an agent published in the GitHub repository queelius/claude-anvil (2 stars, last pushed 1mo ago), licensed MIT. It adds 322 tokens to every session and 1,619 once invoked, about $0.0016 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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