laohu-generation-review

laohu-generation-review is a skill for Codex from LaohuAD/laohu-ai-visual. It costs 80 tokens per session (1,773 once invoked), scanned A, original, no licence file.

A review guide for AI-generated visual projects, including images, videos, edited clips, covers, publishing results, and user feedback. It traces visible problems back to the earliest stage where the work went wrong.

In plain words
What is it for?
Use it to review generated or edited visual work, diagnose problems with story clarity, assets, motion, sound, continuity, prompts, thumbnails, titles, or edit timing, and decide where a revision should begin.
Why use it?
It prevents teams from guessing about causes or repairing every stage at once. The guide separates intended design from evidence in the final work and assigns fixes to the earliest responsible step.

Skill for Codex

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

Good fit Use it to review generated or edited visual work, diagnose problems with story clarity, assets, motion, sound, continuity, prompts, thumbnails, titles, or edit timing, and decide where a revision should begin.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/laohuad/laohu-ai-visual/laohu-generation-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 LaohuAD/laohu-ai-visual --skill laohu-generation-review
Clone the repo
git clone --depth 1 https://github.com/LaohuAD/laohu-ai-visual

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 laohu-generation-review

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/laohuad/laohu-ai-visual/laohu-generation-review"><img src="https://agentmods.dev/badge/skills/laohuad/laohu-ai-visual/laohu-generation-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,773 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 pass 7 Sept 2026
How audits are shown
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 $0.00080 $0.01773
Opus 5.5 $0.00032 $0.00709
Sonnet 5.5 $0.00016 $0.00355
Haiku 4.5 $0.00008 $0.00177

Measured 1mo ago against content hash d380d3c2fca7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

laohu-generation-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 1mo 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.

.agents/skills/laohu-inspection/skills/laohu-generation-review/SKILL.md · 63 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. 1mo ago Changed · +4 lines · +24 tokens per session d380d3c2fca7
  2. 1mo ago Changed · +13 lines · +23 tokens per session a4d2953a5b51
  3. 1mo ago Changed · -200 lines · -25 tokens per session 96444b438c3a
  4. 1mo ago Changed d0a01f0bedf0
  5. 2mo ago Changed · +4 lines 61851327959c
  6. 2mo ago Changed · +53 lines 96ac87dc19e8
  7. 2mo ago First seen · 189 lines · 58 tokens per session scan A a9182edc5e7e

Subscribe to this mod's changes

laohu-generation-review is a skill published in the GitHub repository LaohuAD/laohu-ai-visual (26 stars, last pushed 1mo ago), with no licence file. It adds 80 tokens to every session and 1,773 once invoked, about $0.0003 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.

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