Jbv Methods
franklee16/academic-research-skills
A skill your agent uses when designing or defending the research design for a Journal of Business Venturing (JBV) manuscript — matching a methodologically pluralistic but theory-first approach…
Guidance for extracting text-based game commands, moves, or inputs from video recordings using OCR and frame analysis.
$ npx skills add lazyFrogLOL/Harness_Engineering --skill extract-moves-from-video -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lazyFrogLOL/Harness_Engineering extract-moves-from-video --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/extract-moves-from-video .claude/skills/extract-moves-from-video && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "extract-moves-from-video" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/extract-moves-from-video into .claude/skills/extract-moves-from-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extract-moves-from-video", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/extract-moves-from-videoType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add lazyFrogLOL/Harness_Engineering --skill extract-moves-from-video -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lazyFrogLOL/Harness_Engineering extract-moves-from-video --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/extract-moves-from-video .agents/skills/extract-moves-from-video && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "extract-moves-from-video" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/extract-moves-from-video into .agents/skills/extract-moves-from-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extract-moves-from-video", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lazyFrogLOL/Harness_Engineering --skill extract-moves-from-video -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lazyFrogLOL/Harness_Engineering extract-moves-from-video --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/extract-moves-from-video .cursor/skills/extract-moves-from-video && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "extract-moves-from-video" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/extract-moves-from-video into .cursor/skills/extract-moves-from-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extract-moves-from-video", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/lazyFrogLOL/Harness_Engineering.git --path skills/extract-moves-from-video--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add lazyFrogLOL/Harness_Engineering --skill extract-moves-from-video -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lazyFrogLOL/Harness_Engineering extract-moves-from-video --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/extract-moves-from-video .gemini/skills/extract-moves-from-video && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "extract-moves-from-video" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/extract-moves-from-video into .gemini/skills/extract-moves-from-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extract-moves-from-video", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install lazyFrogLOL/Harness_Engineering extract-moves-from-videoInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add lazyFrogLOL/Harness_Engineering --skill extract-moves-from-video -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/extract-moves-from-video .github/skills/extract-moves-from-video && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "extract-moves-from-video" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/extract-moves-from-video into .github/skills/extract-moves-from-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extract-moves-from-video", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lazyFrogLOL/Harness_Engineering --skill extract-moves-from-video -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lazyFrogLOL/Harness_Engineering extract-moves-from-video --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/extract-moves-from-video .opencode/skills/extract-moves-from-video && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "extract-moves-from-video" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/extract-moves-from-video into .opencode/skills/extract-moves-from-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extract-moves-from-video", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
extract-moves-from-videoGuidance for extracting text-based game commands, moves, or inputs from video recordings using OCR and frame analysis.
Extract Moves From Video is an agent skill from lazyFrogLOL/Harness_Engineering. Guidance for extracting text-based game commands, moves, or inputs from video recordings using OCR and frame analysis. This skill applies when extracting user inputs from screen recordings of text-based games (Zork, interactive fiction), terminal sessions, or any video where typed commands need to be recovered. It covers OCR preprocessing, region-of-interest extraction, domain-aware validation, and deduplication strategies.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Data & Analytics, covering Data cleaning and Creative writing and fiction.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit cae3b25. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
ffmpegFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Extract Moves From Video loads about 1.5k tokens when it runs. Until then it costs about 113 tokens; SKILL.md has 696 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 696 words (~1,472 tokens).
“This skill provides structured guidance for extracting text-based commands or moves from video recordings, particularly for text-based games, terminal sessions, or any screen recording where typed inputs need to be recovered.”
Just SKILL.md in skills/extract-moves-from-video of lazyFrogLOL/Harness_Engineering.
Open the folder on GitHubat commit cae3b25
Extract Moves From Video next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Extract Moves From Video this skilllazyFrogLOL/Harness_Engineering | 128 | — | ~1.5k | Automated safety check: Pass | None | |
| Jbv Methodsfranklee16/academic-research-skills | 223 | 1 repos | ~1.2k | Automated safety check: Pass | None | |
| Review Experiment Resultsharness/harness-skills | 115 | — | ~3.9k | Automated safety check: Pass | Apache-2.0 | |
| Jais Theory Developmentbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~2.3k | Automated safety check: Pass | MIT | |
| Question2reportrefraction-ray/xalpha | 2.7k | — | ~3.2k | Automated safety check: Pass | MIT | |
| Dingo VerifyMigoXLab/dingo | 757 | — | ~741 | Automated safety check: Notes | Apache-2.0 |
franklee16/academic-research-skills
A skill your agent uses when designing or defending the research design for a Journal of Business Venturing (JBV) manuscript — matching a methodologically pluralistic but theory-first approach…
harness/harness-skills
Explain Harness FME experiment results: winner determination, statistical significance, guardrail metric impact, and data-quality caveats (low sample size, missing data).
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when building the theoretical engine of a Journal of the Association for Information Systems (JAIS) manuscript — original theory for the Theory category, a behavioral…
refraction-ray/xalpha
Turn a natural-language financial question into a polished, self-contained HTML report.
MigoXLab/dingo
A skill your agent uses when the user wants to fact-check an article or verify factual claims in a document.
platonai/Browser4
Validates data against common and custom rules (required fields, formats, ranges).
lazyFrogLOL/Harness_Engineering
Guide for analyzing chess positions from images and determining optimal moves.
lazyFrogLOL/Harness_Engineering
This skill provides guidance for cracking 7z archive password hashes.
lazyFrogLOL/Harness_Engineering
Guidance for finding probability distributions that satisfy specific statistical constraints such as KL divergence targets, entropy requirements, or moment conditions.
lazyFrogLOL/Harness_Engineering
This skill provides guidance for FEAL cipher linear cryptanalysis tasks.
lazyFrogLOL/Harness_Engineering
Decode and interpret text content from G-code files by analyzing toolpath geometry and coordinate patterns.
lazyFrogLOL/Harness_Engineering
Guidance for implementing neural network inference (like GPT-2) under extreme code size constraints.
Categories
Guidance for extracting text-based game commands, moves, or inputs from video recordings using OCR and frame analysis. Extract Moves From Video is an agent skill from lazyFrogLOL/Harness_Engineering. Guidance for extracting text-based game commands, moves, or inputs from video recordings using OCR and frame analysis.
Extract Moves From Video fits situations like: tasks that involve Data cleaning; tasks that involve Creative writing and fiction.
Run `npx skills add lazyFrogLOL/Harness_Engineering --skill extract-moves-from-video -a claude-code`. Or copy the skill folder (skills/extract-moves-from-video in lazyFrogLOL/Harness_Engineering) into .claude/skills/extract-moves-from-video in your project. Claude Code loads it when a task matches its description.
Run `npx skills add lazyFrogLOL/Harness_Engineering --skill extract-moves-from-video -a codex`. Or copy the skill folder (skills/extract-moves-from-video in lazyFrogLOL/Harness_Engineering) into .agents/skills/extract-moves-from-video in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add lazyFrogLOL/Harness_Engineering --skill extract-moves-from-video -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/extract-moves-from-video, .gemini/skills/extract-moves-from-video, .github/skills/extract-moves-from-video and .opencode/skills/extract-moves-from-video in your project.
Going by SKILL.md and its folder, Extract Moves From Video needs the command-line tools its instructions call (ffmpeg). Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
No licence was found for Extract Moves From Video or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 1.5k tokens (SKILL.md is roughly 5.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Extract Moves From Video: Jbv Methods (franklee16/academic-research-skills, 223 stars), Review Experiment Results (harness/harness-skills, 115 stars), Jais Theory Development (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars) and Question2report (refraction-ray/xalpha, 2.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
lazyFrogLOL (a GitHub user) maintains it in lazyFrogLOL/Harness_Engineering, which has 128 GitHub stars. The repository holds 32 skills in this directory. The repository was last updated on May 18, 2026.
Source: lazyFrogLOL/Harness_Engineering on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.