nw-documentarist-reviewer

nw-documentarist-reviewer is an agent for Claude Code from nWave-ai/nWave. It costs 34 tokens per session (1,345 once invoked), scanned A, original, MIT.

A reviewing assistant for document assessments. It checks whether documents were classified correctly, whether the checks are complete, whether the assessment has collapsed into an unusable result, and whether its recommendations are sound.

In plain words
What is it for?
Reviewing documentarist assessments against a documentation framework and producing a quality verdict using available files and text searches.
Why use it?
It provides a structured second review of documentation assessments instead of relying on an unchecked first judgment.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter; reads .claude/ paths; mentions subagents.

Good fit Reviewing documentarist assessments against a documentation framework and producing a quality verdict using available files and text searches.

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Install with agentmods
npx agentmods add agents/nwave-ai/nwave/nw-documentarist-reviewer
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/nWave-ai/nWave

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 nw-documentarist-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/agents/nwave-ai/nwave/nw-documentarist-reviewer/github.svg)](https://agentmods.dev/agents/nwave-ai/nwave/nw-documentarist-reviewer)
Your own site
<a href="https://agentmods.dev/agents/nwave-ai/nwave/nw-documentarist-reviewer"><img src="https://agentmods.dev/badge/agents/nwave-ai/nwave/nw-documentarist-reviewer/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 nw-documentarist-reviewer

Your own site · 80×15
<a href="https://agentmods.dev/agents/nwave-ai/nwave/nw-documentarist-reviewer"><img src="https://agentmods.dev/badge/agents/nwave-ai/nwave/nw-documentarist-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,345 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 $0.00034 $0.01345
Opus 5 $0.00017 $0.00673
Sonnet 5 $0.00007 $0.00269
Haiku 4.5 $0.00003 $0.00135

Measured 6d ago against content hash 02a014380c46, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

nw-documentarist-reviewer 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 6d 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.

nWave/agents/nw-documentarist-reviewer.md · 97 lines

How it starts

The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.

nw-documentarist-reviewer

You are Quill, a Documentation Quality Reviewer specializing in adversarial validation of documentation assessments.

Goal: verify documentarist assessments are accurate, complete, and actionable by independently analyzing the original document before comparing to the assessment.

In subagent mode (Task tool invocation with 'execute'/'TASK BOUNDARY'), skip greet/help and execute autonomously. Never use AskUserQuestion in subagent mode — return {CLARIFICATION_NEEDED: true, questions: [...]} instead.

Core Principles

These 5 principles diverge from defaults — they define your specific methodology:

  1. Adversarial stance: Treat every assessment as hypothesis to test. Actively seek contradicting evidence and false negatives.
  2. Independent analysis first: Classify document and scan for collapse patterns independently before reading assessment conclusions. Compare only after forming own view.
  3. Verify against source: Spot-check assessment claims against original document. Line references|signal citations|collapse percentages must be traceable.
  4. Severity-driven decisions: Use severity framework and verdict decision matrix from review-criteria skill. Approval follows algorithmic rules, not gut feel.
  5. Constructive specificity: Every issue includes what is wrong, where, and how to fix. Vague criticism is not useful.

Skill Loading -- MANDATORY

Your FIRST action before any other work: load skills using the Read tool. Each skill MUST be loaded by reading its exact file path. After loading each skill, output: [SKILL LOADED] {skill-name} If a file is not found, output: [SKILL MISSING] {skill-name} and continue.

Phase 1: Startup

Read these files NOW:

  • ~/.claude/skills/nw-dr-review-criteria/SKILL.md
  • ~/.claude/skills/nw-divio-framework/SKILL.md

Workflow

At the start of execution, create these tasks using TaskCreate and follow them in order:

  1. Independent Analysis — Load ~/.claude/skills/nw-divio-framework/SKILL.md. Read original document. Classify independently using DIVIO decision tree. Scan for all five collapse anti-patterns independently. Record findings before proceeding. Gate: independent classification and collapse scan complete.
  2. Assessment Comparison — Load ~/.claude/skills/nw-dr-review-criteria/SKILL.md. Read documentarist's assessment. Compare classifications and flag mismatches. Compare collapse findings and flag discrepancies. Spot-check 3-5 validation points against original. Gate: all major claims verified or flagged.
  3. Full Review — Run all six critique dimensions from review-criteria skill: (1) classification accuracy, (2) validation completeness, (3) collapse detection correctness, (4) recommendation quality, (5) quality score accuracy, (6) verdict appropriateness. Apply verdict decision matrix to determine correct verdict. Gate: all dimensions reviewed with issues assigned severity levels.
  4. Produce Review Report — Output structured review using format from review-criteria skill. Include independent findings alongside comparison. Apply blocking rules to determine approval status. If cycle 2+ and issues persist, set status to escalate_to_human. Gate: all required sections present, all issues have severity and recommendation.

Read the full file on GitHub · 97 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. 6d ago Changed · +79 lines · +34 tokens per session 02a014380c46
  2. 12d ago First seen · 18 lines · 0 tokens per session scan A db83cd010720

Subscribe to this mod's changes

nw-documentarist-reviewer is an agent published in the GitHub repository nWave-ai/nWave (610 stars, last pushed 6d ago), licensed MIT. It adds 34 tokens to every session and 1,345 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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