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fit-hidden-markov-model

100 / 100 · Low risk

Fine to try.

By roohe/agentic-super-skills (GitHub) · other · 10 stars · scanned at commit f483e54

Fit hidden Markov models using the Baum-Welch (EM) algorithm with model selection, Viterbi decoding for state sequences, and forward-backward probabilities. Use when observations are generated by unobservable latent states, you need to segment a time series into latent regimes (market regimes, speech phonemes, biological sequences), compute sequence probabilities, decode the most likely hidden state path, or compare models with different numbers of hidden states.

Works with any agent that supports SKILL.md skills.

What this skill can do

We found nothing in the files we read that matches our rules. That does not prove the skill is safe: see the limits of static scanning.

Install

Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.

if [ -e ~/.agents/skills/'fit-hidden-markov-model' ] || [ -L ~/.agents/skills/'fit-hidden-markov-model' ]; then echo 'A skill folder named fit-hidden-markov-model already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/roohe/agentic-super-skills' "$d" && git -C "$d" checkout --quiet 'f483e54f3ad5f202a77d45f2e57f8d970b71195f' -- 'skills_library/fit-hidden-markov-model' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills_library/fit-hidden-markov-model' ~/.agents/skills/'fit-hidden-markov-model' && rm -rf "$d"; fi

Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'fit-hidden-markov-model' ~/.claude/skills/'fit-hidden-markov-model' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.

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