This is the how-do-we-know-it-is-true runbook — the scientific method for tensor-grep. It answers a different question than its siblings: not "is this change allowed?" (that is tensor-grep-change-control) and not "what should we work on?" (that is tensor-grep-research-frontier), but "what has to be true before a hunch is allowed to be called a result — and what do we do with the hunch when it loses?"
Tensor Grep Research Methodology is a community-contributed Claude Code skill in the research-methods sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/tensor-grep-research-methodology/ and loads when your prompt matches the skill's trigger.
When to invoke it: Use when you have a hunch, a candidate optimization, a novel technique, or an "I think X is faster/better/possible" idea for tensor-grep and must turn it into an ACCEPTED result or a DOCUMENTED RETIREMENT — the research discipline. Covers the evidence bar (one mechanism must explain every observation INCLUDING the negatives, and survive an assigned adversarial refutation whose every claim cites file:line), predicting the number + noise band BEFORE you run, the idea lifecycle (experimental default-OFF -> dogfood/benchmark -> council-verify -> conscious flag-flip to adopted OR retirement recorded in docs/PAPER.
The Tensor Grep Research Methodology Claude Code skill is built for researchers, data scientists, academics, and analysts working with complex data and scientific literature. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 161,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).
mkdir -p ~/.claude/skills/tensor-grep-research-methodology curl -L https://claudskills.com/skills/tensor-grep-research-methodology/SKILL.md \ -o ~/.claude/skills/tensor-grep-research-methodology/SKILL.md
Or just download SKILL.md directly and drop it into ~/.claude/skills/tensor-grep-research-methodology/. Claude Code auto-discovers it on next session.
Skills live at ~/.claude/skills/tensor-grep-research-methodology/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\tensor-grep-research-methodology\SKILL.md on Windows. See the full install guide for step-by-step instructions.
Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →
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SKILL.md from the source repository to ~/.claude/skills/tensor-grep-research-methodology/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Tensor Grep Research Methodology is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Science & Research category. Learn more at /learn/what-is-a-claude-skill/.If you reference this skill in a blog post, paper, or documentation, you can cite it as:
@misc{tensor-grep-research-methodology-2026,
author = {oimiragieo},
title = {Tensor Grep Research Methodology [Claude Code skill]},
year = {2026},
publisher = {ClaudSkills},
url = {https://claudskills.com/skills/tensor-grep-research-methodology/}
}Grade A · scanned 2026-07-26 — free static scan against the OWASP Agentic Skills Top 10.
The scan flagged 1 of 10 categories (execution), including lower-severity patterns. Patterns shown inside code fences are weighted as examples rather than instructions — read the grading methodology for what this does and does not guarantee.
Browse all Science & Research skills in the ClaudSkills registry, or explore these other picks from the same category:
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SKILL.md files, not affiliated with, endorsed by, or sponsored by Anthropic.