Lattensepp Analysis — Data skill for Claude Code
Rebuilds IT-Mario's YouTube-analysis pipeline four ways on 150 German videos: his exact replica, script baseline, three parallel Claude agents, and a best-of-breed hybrid.
How to install Lattensepp Analysis
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open jonah0436/lattensepp-analysis and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Lattensepp Analysis does
Rebuilds IT-Mario's YouTube-analysis pipeline four ways on 150 German videos: his exact replica, script baseline, three parallel Claude agents, and a best-of-breed hybrid. Agreement with his declared winners: 10/13 = 77%. Compute cost: $0.27.
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README
Lattensepp / IT-Mario Replication — V2.5
Rebuilds the YouTube-analysis pipeline from IT-Mario's video "Ich wurde wissenschaftlich auseinandergenommen" three different ways on the same 150-video corpus, then scores each method against his declared winners. The goal is a legible, side-by-side comparison of a hand-written keyword script, three parallel AI agents, and a hybrid that mixes deterministic math with extended keyword lists.
Headline numbers
- 10 of 13 metrics (77%) agree with IT-Mario's declared winners across all three methods.
- Corpus: 150 videos (50 per creator: apored, maithinkx, papaplatte) plus 18,146 YouTube comments.
- Total compute cost: $0.27 ($0.24 for the three parallel AI agents plus $0.03 for the Claude-via-OpenRouter censorship-density analysis). The deterministic methods are free on a laptop.
Source: `video_charts/05_bottom_line_summary.json`.
The three methods
- IT-Mario replica. His exact 5-6 word keyword lists as stated on camera. Deterministic. Reproduces what he would have computed with his own declared inputs.
- AI agents. Three parallel Claude agents, one per creator, each given the metric spec and asked to count and normalize. No shared state between agents.
- Hybrid. Extended keyword lists plus simple stemming, a
234k-word English dictionary for the denglisch metric, and pure
math for TTR / word length / token count. This is our best-of-
breed internal diagnostic, NOT a truth claim; the public accuracy
number is each method's agreement with IT-Mario's declared
winners. See
docs/CURRENT_STATE.mdfor the full primary/ secondary reference split.
A fourth deterministic "script" method (wider keyword lists, no stemming) lives in the repo as an internal baseline but does not appear in the video narrative.
Dataset
- 150 German YouTube videos: 50 each from apored, maithinkx, and papaplatte.
- 18,146 comments scraped from a subset of those videos.
- All data is regen
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