review-video-with-pingfusi

review-video-with-pingfusi is a skill for Codex from alex-durango/pingfusi. It costs 136 tokens per session (1,731 once invoked), scanned A, original, MIT.

A process for having a video checked by a real human reviewer, who can comment on exact moments and answer questions about the result. You then revise the source video, render it again, and repeat the review when needed.

In plain words
What is it for?
Use it to review rendered videos, ads, trailers, demos, or any video against a written brief, or to collect timestamped human feedback when no brief exists.
Why use it?
Automated checks can confirm that a video renders, but they cannot reliably judge whether it matches a brief or communicates well to people.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to review rendered videos, ads, trailers, demos, or any video against a written brief, or to collect timestamped human feedback when no brief exists.

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

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 review-video-with-pingfusi

README.md
[![agentmods](https://agentmods.dev/badge/skills/alex-durango/pingfusi/review-video-with-pingfusi/github.svg)](https://agentmods.dev/skills/alex-durango/pingfusi/review-video-with-pingfusi)
Your own site
<a href="https://agentmods.dev/skills/alex-durango/pingfusi/review-video-with-pingfusi"><img src="https://agentmods.dev/badge/skills/alex-durango/pingfusi/review-video-with-pingfusi/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 review-video-with-pingfusi

Your own site · 80×15
<a href="https://agentmods.dev/skills/alex-durango/pingfusi/review-video-with-pingfusi"><img src="https://agentmods.dev/badge/skills/alex-durango/pingfusi/review-video-with-pingfusi.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 136 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,731 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 $0.00136 $0.01731
Opus 5 $0.00068 $0.00865
Sonnet 5 $0.00027 $0.00346
Haiku 4.5 $0.00014 $0.00173

Measured 11d ago against content hash 5b8796f6ba3d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

review-video-with-pingfusi 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.

skill/review-video-with-pingfusi/SKILL.md · 124 lines

How it starts

The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review a video with pingfusi

A machine can render a video; it cannot tell you whether the result lands. This skill puts the video in front of a real human reviewer who scrubs it, pins comments to exact timestamps, draws on frames, answers your questions, and returns a verdict — then you fix the source, re-render, and refile until it passes.

Two shapes, one tool. Matching your own render against a brief you wrote is the iteration loop it was built for. But the brief is optional: point it at any video and ask your own questions when there is no prompt behind it to match.

Non-negotiables

  • Publish before review. The reviewer is remote: video_url must be a public, long-lived MP4 whose host answers Range requests with 206 + Content-Range (the service probes it at file time and refuses the round otherwise). A new render is a new URL — never mutate the bytes behind a URL a round already cites.
  • The brief must be honest, when there is one. current_brief is what the video must match NOW. Superseded prompts go into prompt_history marked replaced — never silently dropped; the reviewer resolves conflicts by state, not guesswork. requirements are concrete, checkable claims, each naming the prompt_ids it came from. All three are OPTIONAL: a video you did not generate from prompts you control — a competitor's ad, a tutorial, a clip someone sent you — has no brief, and you say what to judge with video_intro and steps instead.
  • Everything except title is private until claim. steps, verdict_options, video_headline, video_intro, the brief, the history and the requirements all travel in a payload delivered to exactly one reviewer when they take the job, so a question may quote the brief it belongs to. title is the opposite: it is the PUBLIC headline on the row every reviewer sees while browsing, before anyone claims. Put nothing in it you would not publish.
  • Ask what you actually want to know. Omit steps and verdict_options and you get the generic prompt-match questionnaire with Matches the prompt / Needs another pass, which is right for a render-against-brief loop and wrong for almost everything else. A round asking "would you keep watching past five seconds?" tells you something the generic pair cannot.
  • Act on feedback in the SOURCE. A timestamped comment means a fix in the composition code, the prompt, or the asset that produced that moment — never a hand-patched frame or a trimmed clip to dodge the note.
  • Never approve your own render, and never infer approval from prose. Done is a fresh core.review.verify(stateFile) returning ok === true on the declared verdict.

Read the full file on GitHub · 124 lines

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.

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 · 124 lines · 136 tokens per session scan A 5b8796f6ba3d

Subscribe to this mod's changes

review-video-with-pingfusi is a skill published in the GitHub repository alex-durango/pingfusi (112 stars, last pushed yesterday), licensed MIT. It adds 136 tokens to every session and 1,731 once invoked, about $0.0007 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 2026-08-30.

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