video-platform-reader

video-platform-reader is a skill for Codex from TIKAZI/TIKAZ-AI-Skills. It costs 81 tokens per session (615 once invoked), scanned A, original, MIT.

A workflow for extracting evidence from public or local videos using available metadata, subtitles, timestamped speech recognition, selected video frames, and official-source checks. It distinguishes what can be supported by each type of evidence.

In plain words
What is it for?
Use it for video summaries, tutorials, knowledge extraction, comparisons, and evidence-based analysis across supported platforms or local media files.
Why use it?
It helps produce video summaries and comparisons while showing which claims come from metadata, speech, images, or verified sources.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it for video summaries, tutorials, knowledge extraction, comparisons, and evidence-based analysis across supported platforms or local media files.

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Install with agentmods
npx agentmods add skills/tikazi/tikaz-ai-skills/video-platform-reader
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 TIKAZI/TIKAZ-AI-Skills --skill video-platform-reader
Clone the repo
git clone --depth 1 https://github.com/TIKAZI/TIKAZ-AI-Skills

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 video-platform-reader

README.md
[![agentmods](https://agentmods.dev/badge/skills/tikazi/tikaz-ai-skills/video-platform-reader/github.svg)](https://agentmods.dev/skills/tikazi/tikaz-ai-skills/video-platform-reader)
Your own site
<a href="https://agentmods.dev/skills/tikazi/tikaz-ai-skills/video-platform-reader"><img src="https://agentmods.dev/badge/skills/tikazi/tikaz-ai-skills/video-platform-reader/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 video-platform-reader

Your own site · 80×15
<a href="https://agentmods.dev/skills/tikazi/tikaz-ai-skills/video-platform-reader"><img src="https://agentmods.dev/badge/skills/tikazi/tikaz-ai-skills/video-platform-reader.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 615 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 $0.00081 $0.00615
Opus 5 $0.00041 $0.00308
Sonnet 5 $0.00016 $0.00123
Haiku 4.5 $0.00008 $0.00061

Measured 11d ago against content hash 93d5097efd39, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

video-platform-reader 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.

suites/video-intelligence/video-platform-reader/SKILL.md · 45 lines

How it starts

The opening of the file, as written. The whole thing — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Video Platform Reader

Designed, integrated, independently refactored, and continuously maintained by TIKAZ.

TIKAZ Edition

  • Type: clean-room portable workflow.
  • TIKAZ contribution: cross-platform source ledger, five evidence levels, claim-type separation, keyframe escalation, partial-failure handling, and cross-video synthesis contract.
  • Boundary: do not claim platform access, download support, or visual inspection until the current environment proves it.

Inputs

Accept one or more supported public URLs, stable IDs, podcast pages, or local media files plus the user's question. Record requested sources before attempting acquisition.

Workflow

  1. Inventory every requested source with platform, stable ID or file hash, author, publication date, duration, access result, and available evidence.
  2. Acquire evidence with the least invasive available path: native transcript first, then legal metadata/subtitle tooling, timestamped ASR, and selective keyframes.
  3. Assign L0 metadata, L1 native transcript, L2 timestamped ASR, L3 transcript plus keyframes, or L4 media evidence plus primary-source verification.
  4. Label each important statement as source claim, transcript evidence, visual observation, external verification, or inference.
  5. Create one evidence card per source before comparing sources. Record inaccessible, deleted, private, unsupported, or partially processed items instead of silently dropping them.
  6. For visual claims, inspect the relevant timestamp or mark the claim unverified. For consequential factual claims, prefer an official primary source.
  7. Synthesize agreements, conflicts, missing dependencies, confidence, and actionable conclusions only after source-level cards are complete.

Output contract

Return the source ledger, evidence level, timestamped findings, visual checks, unresolved gaps, and synthesis. Never describe metadata or a search snippet as watched content. Never bypass DRM, authentication, paywalls, or platform access controls.

Read the full file on GitHub · 45 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 · 45 lines · 81 tokens per session scan A 93d5097efd39

Subscribe to this mod's changes

video-platform-reader is a skill published in the GitHub repository TIKAZI/TIKAZ-AI-Skills (6 stars, last pushed 8d ago), licensed MIT. It adds 81 tokens to every session and 615 once invoked, about $0.0004 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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