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game-research-websearch

An AI agent skill from rehan-remade/universal-modder, scored 72 out of 100 by code.

72/ 100B

Code score by group

  • Spec20/20
  • Description16/20
  • Procedure7/15
  • Done criteria4/15
  • Resources10/10
  • Scripts5/8
  • Safety7/7
  • Upkeep3/5

It loses the most points in Done criteria (11), the group that checks whether there is a checklist and a step that verifies the work.

What the author says it does

Research a game, engine or modding technique on the open web with archive-aware, rate-limit-safe searches — Wayback Machine/archive.today for dead forums (XeNTaX, Zenhax, old threads), GitHub code/repo search, Nexus/Steam Workshop/Thunderstore APIs, Reddit JSON, YouTube transcripts, plus archive snapshots as evidence. Use when starting work on a game ("how did people mod X before?"), when a documented tool/link is dead, when forum threads are login-gated (semi-auto handoff to the human), and before writing a field note so claims carry source URLs.

This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.

Repository
rehan-remade/universal-modder
Folder
skills/game-research-websearch
License
MIT
GitHub stars
9,634
SKILL.md lines
144
Other files
0

Add game-research-websearch to your agent

npx skills add rehan-remade/universal-modder --skill game-research-websearch

The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.

Labelled for

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  3. reverse-engineering

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  4. share-field-notes

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  5. fal-assets

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  8. asset-pipeline

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All skills in rehan-remade/universal-modder

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.