dynamo: Skill for Codex

.agents/skills/visual-review/SKILL.md

visual-review is a skill for Codex from ai-dynamo/dynamo. It costs 106 tokens per session (3,678 once invoked), scanned A, original, no licence file.

A skill that turns pull-request or code-diff information into a self-contained interactive HTML review dashboard. A pull request is a proposed code change submitted for review on GitHub or GitLab.

In plain words
What is it for?
Use it to review GitHub or GitLab pull requests, checked-out branch changes, or unified diff files with scores, diagrams, findings, and per-finding diff views.
Why use it?
It organizes review evidence and potential problems in one view, making it easier to judge correctness and whether changes are safe to merge.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents).

This is ai-dynamo/dynamo's own configuration. It tells Codex how to work on dynamo itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything dynamo configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ai-dynamo/dynamo. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/ai-dynamo/dynamo/main/.agents/skills/visual-review/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/ai-dynamo/dynamo

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 visual-review

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/ai-dynamo/dynamo/visual-review"><img src="https://agentmods.dev/badge/skills/ai-dynamo/dynamo/visual-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 106 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,678 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 27
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00106 $0.03678
Opus 5.5 $0.00042 $0.01471
Sonnet 5.5 $0.00021 $0.00736
Haiku 4.5 $0.00011 $0.00368

Measured 2mo ago against content hash 6d698aeaad26, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

visual-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 2mo ago.

The scan reads SKILL.md. This mod also ships 5 executable files (assets/vendor/cytoscape-3.33.4.min.js, assets/vendor/cytoscape-dagre-2.5.0.js, assets/vendor/dagre-0.8.5.min.js, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.agents/skills/visual-review/SKILL.md · 113 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

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.

  1. 2mo ago First seen · 113 lines · 106 tokens per session scan A 6d698aeaad26

Subscribe to this mod's changes

visual-review is a skill published in the GitHub repository ai-dynamo/dynamo (8,412 stars, last pushed today), with no licence file. It adds 106 tokens to every session and 3,678 once invoked, about $0.0004 per session on Opus 5.5. 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.

Related

Other skills, from other repositories

code-quality

Comprehensive code review for Java - clean code principles, API contracts, null safety, exception handling, and performance. Use when user says "review code", "refactor", "check API", or before merging changes.

piomin/claude-ai-spring-boot · 47 tokens

pr-review

Comprehensive PR review across six dimensions — cost impact, environment drift, ownership gaps, SOC 2 compliance, deprecated API / version hygiene, and rollback feasibility. Each mode inspects the diff and current file state, reports findings with severity, and recommends concrete fixes. Use when preparing a PR for…

nitinjain999/platform-skills · 81 tokens

code-review

Review pull requests to this repo (a Claude Code / Copilot / Cursor platform-engineering skill plugin) for technical accuracy, security posture, structural consistency with existing domains, and completeness. Use this for any PR touching commands/, references/, examples/, skills/platform-skills/SKILL.md, or the plugin…

nitinjain999/platform-skills · 88 tokens

Pr Review

Review pull requests against team standards and best practices.

eftechcombr/glpi · 12 tokens

Code Review

Review code quality, patterns, and best practices.

eftechcombr/glpi · 12 tokens

devops-infra

DevOps & Infrastructure (Docker, AWS, Messaging): Helps with Docker configuration, AWS architecture, CI/CD pipelines, Kubernetes, monitoring, and messaging infrastructure (Kafka, SQS, SNS). Use whenever the user wants to review or create Dockerfiles, docker-compose configs, AWS architecture, CI/CD pipelines…

camilooscargbaptista/cto-toolkit · 123 tokens