atlas-review-handler

atlas-review-handler is a skill for Claude Code, Codex from EZotoff/ez-omo-config. It costs 47 tokens per session (1,648 once invoked), scanned A, original, MIT.

A workflow controller for code reviews, which are checks of proposed code changes for problems and quality issues.

In plain words
What is it for?
It is for managing delegated reviews, processing findings, and preventing review loops.
Why use it?
It limits repeated review rounds and coordinates review findings with follow-up fixes.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit It is for managing delegated reviews, processing findings, and preventing review loops.

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Install with agentmods
npx agentmods add skills/ezotoff/ez-omo-config/atlas-review-handler
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 EZotoff/ez-omo-config --skill atlas-review-handler
Clone the repo
git clone --depth 1 https://github.com/EZotoff/ez-omo-config

Made for: Claude Code, Codex.

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.

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README.md
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Your own site
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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.

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Your own site · 80×15
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Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,648 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 $0.00047 $0.01648
Opus 5 $0.00023 $0.00824
Sonnet 5 $0.00009 $0.00330
Haiku 4.5 $0.00005 $0.00165

Measured 4d ago against content hash 6623d671c990, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

atlas-review-handler 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 4d 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/atlas-review-handler/SKILL.md · 153 lines

How it starts

The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Atlas Review Handler — Review Workflow Orchestrator


CRITICAL RULES (LOOP PREVENTION)

  1. MAXIMUM 2 REVIEW CYCLES per original task. After 2 cycles, STOP and proceed regardless of findings.
  2. Fix tasks ([REVIEW-FIX]) do NOT trigger reviews. The REVIEW-ENFORCER plugin already skips [REVIEW-FIX] markers — but YOU must also not spawn reviews for fix results.
  3. Track your cycle count explicitly. Maintain a mental counter: "This is review cycle N of 2."
  4. If a review sub-agent runs build/test commands, that sub-agent is malfunctioning. The review-protocol skill explicitly forbids build/test. If you see build output in review results, STOP the cycle — the review skill is not loaded properly.
  5. NEVER nest reviews. A review of a review of a fix is an infinite loop. One review per cycle, maximum 2 cycles.

WORKFLOW

When REVIEW-ENFORCER fires (after a task completes):

Cycle 1:

Step 1: Delegate the review

task(
  category="unspecified-low",
  load_skills=["review-protocol"],
  run_in_background=true,
  description="Review [task-name] changes",
  prompt="[REVIEW-TASK] Review the changes made by the previous task. Run git diff to see the changes, analyze them, and return structured findings in CRITICAL/WARNING/INFO format. DO NOT run builds or tests. DO NOT modify files.

IF the task produced or modified data artifacts (pipeline stages, generated datasets/corpora, model outputs, scored results): ALSO read the actual intermediate output files (at least 5 per stage) — raw values, not aggregates — and check for degenerate patterns: empty/whitespace outputs, zero-variance or all-perfect scores across conditions meant to differ, identical outputs across variants, duplicated template clauses, cardinality mismatches at stage boundaries. Report any degenerate pattern as CRITICAL; downstream stages silently mask upstream bugs.")
)

Read the full file on GitHub · 153 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. 4d ago Changed · +4 lines 6623d671c990
  2. 11d ago First seen · 149 lines · 47 tokens per session scan A 1df5c774ce48

Subscribe to this mod's changes

atlas-review-handler is a skill published in the GitHub repository EZotoff/ez-omo-config (6 stars, last pushed 6d ago), licensed MIT. It adds 47 tokens to every session and 1,648 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 2026-08-31.