A review of completed code changes before they are integrated. It checks whether the work matches the specification, introduces bugs or regressions, has enough evidence, and includes needed tests.

Use it to review a worker's result, validate acceptance criteria, and identify missing tests or verification.

It helps catch production problems and unsupported claims before the changes reach the main codebase.

code-review — Skill by keithhegit

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 skills/keithhegit/ultra-orchestration/code-review

Any agent

npx skills add keithhegit/ultra-orchestration --skill code-review

Clone the repo

git clone --depth 1 https://github.com/keithhegit/ultra-orchestration

Made for: Claude Code, Codex.

Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 143 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.

Model	Per session	Once invoked
Fable 5	$0.00038	$0.00143
Opus 5	$0.00019	$0.00072
Sonnet 5	$0.00008	$0.00029
Haiku 4.5	$0.00004	$0.00014

Measured 3d ago against content hash 202099515720, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

code-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 3d 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/code-review/SKILL.md · 23 lines

What it actually says

Code Review

Review implementation results with a production mindset.

Check

Spec compliance
Correctness and regression risk
Evidence quality
Missing tests or verification gaps
Unintended scope expansion

Use review lenses from ../ultra-orchestrator/references/review-lenses.md.

Output

Lead with findings. If there are no findings, state that explicitly and note remaining verification gaps.

Files

What ships with it

1 file 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.

agents/openai.yaml 264 B

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.

3d ago First seen · 23 lines · 38 tokens per session scan A 202099515720

Subscribe to this mod's changes

code-review is a skill published in the GitHub repository keithhegit/ultra-orchestration (6 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 38 tokens to every session and 143 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.

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