What is auto-review-loop?

An iterative research review process that separates producing improvements from evaluating them. It can repeat review and improvement for up to four rounds and saves its progress.

Use it to review a proposal or research output, apply improvements, reassess quality, and keep the full review history.

It helps find weaknesses in research work and track whether revisions address them.

auto-review-loop — Skill for Claude Code by GRIND-Lab-Core

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.

Any agent

npx skills add GRIND-Lab-Core/night_owl_research_agent --skill auto-review-loop

Clone the repo

git clone --depth 1 https://github.com/GRIND-Lab-Core/night_owl_research_agent

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/grind-lab-core/night_owl_research_agent/auto-review-loop/github.svg)](https://agentmods.dev/skills/grind-lab-core/night_owl_research_agent/auto-review-loop)

Your own site

<a href="https://agentmods.dev/skills/grind-lab-core/night_owl_research_agent/auto-review-loop"><img src="https://agentmods.dev/badge/skills/grind-lab-core/night_owl_research_agent/auto-review-loop/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/grind-lab-core/night_owl_research_agent/auto-review-loop"><img src="https://agentmods.dev/badge/skills/grind-lab-core/night_owl_research_agent/auto-review-loop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 8,161 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.

Origin unknown 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.

Model	Per session	Once invoked
Fable 5.1	$0.00000	$0.08161
Opus 5.5	$0.00000	$0.03264
Sonnet 5.5	$0.00000	$0.01632
Haiku 4.5	$0.00000	$0.00816

Measured 2mo ago against content hash 955ce27336a8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

auto-review-loop scanned grade A with 1 finding 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 2mo 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- **Anti-hallucination citations**: When adding references during fixes, NEVER fabricate BibTeX. Use the same DBLP → CrossRef → `[VERIFY]` chain as skill `paper-draft`: (1) `curl -s "https://dblp.org/search/publ/api?q=TI

skills/auto-review-loop/SKILL.md · 550 lines

The source is not reproduced here

No licence file

Read it on GitHub

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.

2mo ago First seen · 550 lines · 0 tokens per session scan A 955ce27336a8

Subscribe to this mod's changes

auto-review-loop is a skill published in the GitHub repository GRIND-Lab-Core/night_owl_research_agent (108 stars, last pushed 6mo ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 8,161 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Research

auto-review-loop next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
auto-review-loopGRIND-Lab-Core/night_owl_research_agent	Skill	108	6mo ago	none	A	0	Claude Code
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code

auto-review-loop

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Makes network callslowCapability

The source is not reproduced here

No licence file

What this file has done since we first saw it

auto-review-loop compared with skills from other repositories