ultra-review

ultra-review is a skill for Codex from keithhegit/ultra-orchestration. It costs 53 tokens per session (249 once invoked), scanned A, original, Apache-2.0.

A review step for checking a plan or implementation against its requirements and evidence. It also looks for regressions, missed constraints, risks, and unsupported conclusions.

In plain words
What is it for?
Use it after planning or implementation to accept the result, send it back for changes, or return to planning when the approach is wrong.
Why use it?
It catches work that appears complete but does not satisfy the specification or lacks proof that it works.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit Use it after planning or implementation to accept the result, send it back for changes, or return to planning when the approach is wrong.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/keithhegit/ultra-orchestration/ultra-review
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 keithhegit/ultra-orchestration --skill ultra-review
Clone the repo
git clone --depth 1 https://github.com/keithhegit/ultra-orchestration

Made for: 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.

agentmods badge for ultra-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/keithhegit/ultra-orchestration/ultra-review/github.svg)](https://agentmods.dev/skills/keithhegit/ultra-orchestration/ultra-review)
Your own site
<a href="https://agentmods.dev/skills/keithhegit/ultra-orchestration/ultra-review"><img src="https://agentmods.dev/badge/skills/keithhegit/ultra-orchestration/ultra-review/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 ultra-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/keithhegit/ultra-orchestration/ultra-review"><img src="https://agentmods.dev/badge/skills/keithhegit/ultra-orchestration/ultra-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 249 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 $0.00053 $0.00249
Opus 5 $0.00026 $0.00125
Sonnet 5 $0.00011 $0.00050
Haiku 4.5 $0.00005 $0.00025

Measured 11d ago against content hash 98f2e8079f30, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

ultra-review 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 11d 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-vnext/ultra-review/SKILL.md · 43 lines

What it actually says

Ultra Review

Review is the gate between execution and trust.

Review Order

  1. Review against the spec and acceptance checks.
  2. Review for engineering quality, risk, and regressions.
  3. Decide whether the result is:
    • accepted
    • rejected to Execute
    • rerouted to Plan

Review Lenses

Always inspect through these lenses:

  • falsification: what would prove this wrong
  • evidence quality: what concrete evidence supports the claim
  • constraints compliance: what requirements were violated or skipped
  • downside risk: what could break if this lands
  • blind spots: what the worker may have missed

Output

Return:

  • decision
  • findings
  • evidence reviewed
  • missing evidence
  • reroute target if rejected
  • residual risks if accepted

Do not let unsupported conclusions pass into integration.

Read review-lenses for the full checklist.

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 11d ago First seen · 43 lines · 53 tokens per session scan A 98f2e8079f30

Subscribe to this mod's changes

ultra-review is a skill published in the GitHub repository keithhegit/ultra-orchestration (6 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 53 tokens to every session and 249 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 2026-08-31.

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