Markitdown
ImCa0/just-laws
Convert files and office documents to Markdown. An agent skill from ImCa0/just-laws.
Which assumption actually moves the answer — one-at-a-time sensitivity, ranked into a tornado.
Install Tornado Sensitivity
$ npx skills add mohitagw15856/pm-claude-skills --skill tornado-sensitivity -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mohitagw15856/pm-claude-skills tornado-sensitivity --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/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/tornado-sensitivity .claude/skills/tornado-sensitivity && 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 "tornado-sensitivity" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/tornado-sensitivity into .claude/skills/tornado-sensitivity/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tornado-sensitivity", 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/mohitagw15856/pm-claude-skills/tree/main/skills/tornado-sensitivityType 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 mohitagw15856/pm-claude-skills --skill tornado-sensitivity -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mohitagw15856/pm-claude-skills tornado-sensitivity --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/tornado-sensitivity .agents/skills/tornado-sensitivity && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tornado-sensitivity" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/tornado-sensitivity into .agents/skills/tornado-sensitivity/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tornado-sensitivity", 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 mohitagw15856/pm-claude-skills --skill tornado-sensitivity -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mohitagw15856/pm-claude-skills tornado-sensitivity --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/tornado-sensitivity .cursor/skills/tornado-sensitivity && 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 "tornado-sensitivity" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/tornado-sensitivity into .cursor/skills/tornado-sensitivity/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tornado-sensitivity", 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/mohitagw15856/pm-claude-skills.git --path skills/tornado-sensitivity--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 mohitagw15856/pm-claude-skills --skill tornado-sensitivity -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mohitagw15856/pm-claude-skills tornado-sensitivity --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/tornado-sensitivity .gemini/skills/tornado-sensitivity && 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 "tornado-sensitivity" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/tornado-sensitivity into .gemini/skills/tornado-sensitivity/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tornado-sensitivity", 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 mohitagw15856/pm-claude-skills tornado-sensitivityInstalls 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 mohitagw15856/pm-claude-skills --skill tornado-sensitivity -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/tornado-sensitivity .github/skills/tornado-sensitivity && 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 "tornado-sensitivity" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/tornado-sensitivity into .github/skills/tornado-sensitivity/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tornado-sensitivity", 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 mohitagw15856/pm-claude-skills --skill tornado-sensitivity -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mohitagw15856/pm-claude-skills tornado-sensitivity --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/tornado-sensitivity .opencode/skills/tornado-sensitivity && 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 "tornado-sensitivity" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/tornado-sensitivity into .opencode/skills/tornado-sensitivity/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tornado-sensitivity", 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.
Facts
- Skill name
tornado-sensitivity- GitHub stars
- 1.4k
- Token cost
- ~919 tokens
- SKILL.md length
- 445 words
- Files
- 2 (incl. scripts)
- Skills in repo
- 1,348
- Repo updated
- First seen
- Licence
- MIT
At a glance
Which assumption actually moves the answer — one-at-a-time sensitivity, ranked into a tornado.
- Works in 3 steps: The tornado table — drivers sorted by… → The meeting verdict — one paragraph:… → The interaction caveat — one-at-a-time…
- A models output is being argued about (LTV
- SKILL.md covers Required Inputs, Output Format, Programmatic Helper and Quality Checks, plus 2 more sections
- Runs Python scripts from its folder; calls python3
What it does
Tornado Sensitivity is an agent skill from mohitagw15856/pm-claude-skills. Which assumption actually moves the answer — one-at-a-time sensitivity, ranked into a tornado. Use when a model's output is being argued about (LTV, ROI, forecast) and the room is debating drivers that don't matter, or before spending diligence effort: swing every driver low→high and see which one owns the outcome. Produces the ranked tornado table, share-of-swing per driver, and a real .xlsx — via the bundled zero-dependency script with a safely restricted formula evaluator.
Its SKILL.md is about 920 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/tornado.py`).
It sits in Documents & Office, covering Excel spreadsheets. It works with Microsoft Excel. The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.
When your agent uses it
- A models output is being argued about (LTV
- Forecast) and the room is debating drivers that dont matter
- Before spending diligence effort: swing every driver low→high and see which one owns the outcome
Example prompts
- “/tornado-sensitivity”
Requirements
- Python 3
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- The tornado table — drivers sorted by output swing, with input range, output at each end, and share of total swing. The top driver's share…
- The meeting verdict — one paragraph: what deserves diligence, what deserves a decision-and-move-on, and any driver whose bounds are the…
- The interaction caveat — one-at-a-time ignores correlated drivers; if two move together in reality (price and churn), say so and model the…
What it can do on your machine
Read from SKILL.md and the folder at commit 1cbf1f0. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Tornado Sensitivity loads about 919 tokens when it runs. Until then it costs about 125 tokens; SKILL.md has 445 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.
Safety
Auto-check passed
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); the scripts in this folder are not scanned.
SKILL.md
The full file from mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 445 words, ~919 tokens.
Download SKILL.mdSave it as
.claude/skills/tornado-sensitivity/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- tornado-sensitivity
- description
- Which assumption actually moves the answer — one-at-a-time sensitivity, ranked into a tornado. Use when a model's output is being argued about (LTV, ROI, forecast) and the room is debating drivers that don't matter, or before spending diligence effort: swing every driver low→high and see which one owns the outcome. Produces the ranked tornado table, share-of-swing per driver, and a real .xlsx — via the bundled zero-dependency script with a safely restricted formula evaluator.
Tornado Sensitivity
Every model has four drivers people argue about and one that actually controls the answer — usually not the same one. The tornado ranks them: hold everything at base, swing one driver to its low and high, measure the output range, sort. Diligence goes to the top bar; the bottom bars stop hijacking meetings.
Required Inputs
- The model — output name, a formula over named drivers (arithmetic + min/max/abs/sqrt/log/exp only), and per-driver low/base/high. The lows and highs should be defensible bounds ("the worst quarter we've seen", "the vendor's contractual ceiling"), not ±10% ritual.
- If the requester has a spreadsheet instead of a formula: extract the output cell's driver chain into a formula first, and show it for confirmation.
Output Format
- The tornado table — drivers sorted by output swing, with input range, output at each end, and share of total swing. The top driver's share is the headline ("lifetime owns 33% of the uncertainty").
- The meeting verdict — one paragraph: what deserves diligence, what deserves a decision-and-move-on, and any driver whose bounds are the real problem (huge swing because nobody actually knows the range).
- The interaction caveat — one-at-a-time ignores correlated drivers; if two move together in reality (price and churn), say so and model the pair as one driver.
Programmatic Helper
Ships scripts/tornado.py — zero dependencies, with a restricted evaluator (driver names + six math functions; anything else is rejected — injection-tested):
python3 scripts/tornado.py run tornado.xlsx --model model.jsonPrints base=1.371 · top driver: lifetime (swing 1.097, 33% of total) and writes Summary + Tornado sheets. Requires a code-execution environment.
Show full SKILL.md (197 more words)Show less
Quality Checks
- Swings computed by the script, quoted — never reasoned in prose
- Bounds provenance is stated per driver (measured / contractual / guess) — a tornado of guesses is honestly labelled one
- Share-of-swing sums are shown so the ranking's decisiveness is visible
- Correlated drivers are named and the caveat applied to them specifically
- The verdict names what to STOP arguing about — the negative guidance is half the value
Anti-Patterns
- Do not use symmetric ±X% on every driver — uniform ranges produce a tornado shaped by formula structure, not by knowledge
- Do not read the top bar as "most likely to be wrong" — it's "most consequential if wrong"; confidence and consequence are different columns
- Do not run tornado on a model whose formula the owner hasn't confirmed — sensitivity on the wrong model is confidently useless
- Do not let a huge-swing driver with made-up bounds stand — the recommendation there is "go find the real range", not "panic"
- Do not present this as risk analysis — it's attention allocation; downstream probability work still exists
Example Trigger Phrases
- "Which assumption actually moves the answer?"
- "Build a tornado chart for this model."
- "Run a sensitivity analysis on our LTV."
- "We keep arguing about drivers: which ones matter?"
© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (scripts) in skills/tornado-sensitivity of mohitagw15856/pm-claude-skills.
- SKILL.md
- scripts/tornado.py
Open the folder on GitHubat commit 1cbf1f0
Compare with similar skills
Tornado Sensitivity 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 |
|---|---|---|---|---|---|---|
| Tornado Sensitivity this skillmohitagw15856/pm-claude-skills | 1.4k | — | ~919 | Automated safety check: Pass | MIT | |
| MarkitdownImCa0/just-laws | 782 | 14 repos | ~3.2k | Automated safety check: Notes | MIT | |
| Data Table Managern8n-io/n8n | 207k | — | ~2.3k | Automated safety check: Pass | Custom licence | |
| Docx4jplutext/docx4j | 2.4k | — | ~2.5k | Automated safety check: Pass | None | |
| Instrument Data To Allotropeaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | 2 repos | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Cyber Pptcrazyykhllc-bit/CyberPPT | 1.8k | — | ~10k | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about Tornado Sensitivity
What does Tornado Sensitivity do?
Which assumption actually moves the answer — one-at-a-time sensitivity, ranked into a tornado. Tornado Sensitivity is an agent skill from mohitagw15856/pm-claude-skills. Which assumption actually moves the answer — one-at-a-time sensitivity, ranked into a tornado.
When should I use Tornado Sensitivity?
Tornado Sensitivity fits situations like: A models output is being argued about (LTV; forecast) and the room is debating drivers that dont matter; before spending diligence effort: swing every driver low→high and see which one owns the outcome.
How do I install Tornado Sensitivity in Claude Code?
Run `npx skills add mohitagw15856/pm-claude-skills --skill tornado-sensitivity -a claude-code`. Or copy the skill folder (skills/tornado-sensitivity in mohitagw15856/pm-claude-skills) into .claude/skills/tornado-sensitivity in your project. Claude Code loads it when a task matches its description.
How do I install Tornado Sensitivity in Codex?
Run `npx skills add mohitagw15856/pm-claude-skills --skill tornado-sensitivity -a codex`. Or copy the skill folder (skills/tornado-sensitivity in mohitagw15856/pm-claude-skills) into .agents/skills/tornado-sensitivity in your project. Codex loads it when a task matches its description.
Can I use Tornado Sensitivity in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mohitagw15856/pm-claude-skills --skill tornado-sensitivity -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tornado-sensitivity, .gemini/skills/tornado-sensitivity, .github/skills/tornado-sensitivity and .opencode/skills/tornado-sensitivity in your project.
What does Tornado Sensitivity need to run?
Going by SKILL.md and its folder, Tornado Sensitivity needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Tornado Sensitivity access the network?
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.
Is Tornado Sensitivity safe to install?
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Tornado Sensitivity use?
Tornado Sensitivity is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Tornado Sensitivity use?
About 919 tokens (SKILL.md is roughly 3.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Tornado Sensitivity?
Skills that share tags, products or a category with Tornado Sensitivity: Markitdown (ImCa0/just-laws, 782 stars), Data Table Manager (n8n-io/n8n, 207k stars), Docx4j (plutext/docx4j, 2.4k stars) and Instrument Data To Allotrope (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Tornado Sensitivity?
mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,433 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 8, 2026.
Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.