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.
npx skills add TIKAZI/TIKAZ-AI-Skills --skill video-platform-readergit clone --depth 1 https://github.com/TIKAZI/TIKAZ-AI-SkillsWrote 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.
[](https://agentmods.dev/skills/tikazi/tikaz-ai-skills/video-platform-reader)<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.
<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>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 5.1 | $0.00081 | $0.00615 |
| Opus 5 | $0.00041 | $0.00308 |
| Sonnet 5 | $0.00016 | $0.00123 |
| Haiku 4.5 | $0.00008 | $0.00061 |
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.
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
- Inventory every requested source with platform, stable ID or file hash, author, publication date, duration, access result, and available evidence.
- Acquire evidence with the least invasive available path: native transcript first, then legal metadata/subtitle tooling, timestamped ASR, and selective keyframes.
- Assign
L0metadata,L1native transcript,L2timestamped ASR,L3transcript plus keyframes, orL4media evidence plus primary-source verification. - Label each important statement as source claim, transcript evidence, visual observation, external verification, or inference.
- Create one evidence card per source before comparing sources. Record inaccessible, deleted, private, unsupported, or partially processed items instead of silently dropping them.
- For visual claims, inspect the relevant timestamp or mark the claim unverified. For consequential factual claims, prefer an official primary source.
- 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.
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.
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.
- 11d ago First seen · 45 lines · 81 tokens per session scan A 93d5097efd39
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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