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Agent skill

Analysis Assumptions Log

by nimrodfisher in nimrodfisher/data-analytics-skills

Track and document analytical assumptions and decisions. An agent skill from nimrodfisher/data-analytics-skills.

MITAuto-check passedData & Analytics

Install Analysis Assumptions Log

skills CLI
$ npx skills add nimrodfisher/data-analytics-skills --skill analysis-assumptions-log -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install nimrodfisher/data-analytics-skills analysis-assumptions-log --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/nimrodfisher/data-analytics-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/02-documentation-knowledge/analysis-assumptions-log .claude/skills/analysis-assumptions-log && rm -rf skills-src

Use ~/.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/

Facts

Skill name
analysis-assumptions-log
GitHub stars
468
Token cost
~578 tokens
SKILL.md length
260 words
Files
4 (incl. scripts, references, assets)
Skills in repo
31
Repo updated
First seen
Licence
MIT

At a glance

Track and document analytical assumptions and decisions. An agent skill from nimrodfisher/data-analytics-skills.

  • Works in 6 steps: Initialize the log — create a log entry… → Enumerate data assumptions — document… → Enumerate business logic assumptions —… → …
  • Making analytical choices
  • Runs Python scripts from its folder
  • Documenting trade-offs

What it does

Analysis Assumptions Log is an agent skill from nimrodfisher/data-analytics-skills. Track and document analytical assumptions and decisions. Use when making analytical choices, documenting trade-offs, ensuring transparency, or creating audit trails for analytical work.

Its SKILL.md is about 580 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts, reference files and assets (for example `assets/assumptions_log_template.md`, `references/assumption_categories.md` and `scripts/assumptions_tracker.py`).

It sits in Data & Analytics. The repository describes itself as: A comprehensive list of Claude & Codex skills for a wide range of data analytics tasks. The licence is MIT.

When your agent uses it

  • Making analytical choices
  • Documenting trade-offs
  • Ensuring transparency
  • Creating audit trails for analytical work

Example prompts

  • “/analysis-assumptions-log”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Initialize the log — create a log entry for the analysis with its name, date, analyst, and the decision it informs. Use…
  2. Enumerate data assumptions — document representativeness, completeness, how missing values are handled, and any known quality issues. For…
  3. Enumerate business logic assumptions — record metric definitions, time windows, inclusion/exclusion rules, and any definitions provided by…
  4. Enumerate statistical assumptions — record distribution assumptions, independence claims, stationarity, or model assumptions relevant to…
  5. Assess impact and flag critical assumptions — for each low-confidence assumption with high impact if wrong, create a validation plan. Run…
  6. Validate and close — as validation occurs, update the log with results. Export assets/assumptions_log_template.md for peer review sign-off…

What it can do on your machine

Read from SKILL.md and the folder at commit 9449d36. 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.

    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

Analysis Assumptions Log loads about 578 tokens when it runs, and up to ~1.4k if it reads all its reference files. Until then it costs about 53 tokens; SKILL.md has 260 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~53
When it runs · the whole SKILL.md, loaded when a task matches
~578
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.4k

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 nimrodfisher/data-analytics-skills at commit 9449d36, republished under its MIT licence (© nimrodfisher). 260 words, ~578 tokens.

Download SKILL.mdSave it as .claude/skills/analysis-assumptions-log/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
analysis-assumptions-log
description
Track and document analytical assumptions and decisions. Use when making analytical choices, documenting trade-offs, ensuring transparency, or creating audit trails for analytical work.

Analysis Assumptions Log

When to use

  • Starting an analysis with significant scope, method, or data quality choices
  • Preparing work for peer review or stakeholder sign-off
  • Returning to an old analysis and needing to understand prior decisions
  • Working in a regulated environment where auditability is required
  • Handing off an analysis to another analyst

Process

  1. Initialize the log — create a log entry for the analysis with its name, date, analyst, and the decision it informs. Use scripts/assumptions_tracker.py to initialise a structured JSON log.
  2. Enumerate data assumptions — document representativeness, completeness, how missing values are handled, and any known quality issues. For each assumption, record the rationale and confidence level (high/medium/low). See references/assumption_categories.md for the full taxonomy.
  3. Enumerate business logic assumptions — record metric definitions, time windows, inclusion/exclusion rules, and any definitions provided by stakeholders. Note alternatives considered.
  4. Enumerate statistical assumptions — record distribution assumptions, independence claims, stationarity, or model assumptions relevant to the methods used.
  5. Assess impact and flag critical assumptions — for each low-confidence assumption with high impact if wrong, create a validation plan. Run scripts/assumptions_tracker.py --report to surface the critical list.
  6. Validate and close — as validation occurs, update the log with results. Export assets/assumptions_log_template.md for peer review sign-off before delivery.

Inputs the skill needs

  • Analysis name and the decision it informs
  • Data sources, time period, and population being analysed
  • Key methodological choices made (and alternatives considered)
  • Stakeholder-provided business rule definitions
  • Any known data quality issues

Output

  • scripts/assumptions_tracker.py — CLI tool to log assumptions, flag critical ones, and export a summary
  • assets/assumptions_log_template.md — completed log for peer review and audit trail

© nimrodfisher, 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 3 other files (scripts, references, assets) in 02-documentation-knowledge/analysis-assumptions-log of nimrodfisher/data-analytics-skills.

  • SKILL.md
  • assets/assumptions_log_template.md
  • references/assumption_categories.md
  • scripts/assumptions_tracker.py

Open the folder on GitHubat commit 9449d36

Compare with similar skills

Analysis Assumptions Log 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.

Analysis Assumptions Log compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Analysis Assumptions Log this skillnimrodfisher/data-analytics-skills468—~578Automated safety check: PassMIT
MatplotlibzLanqing/codex-claude-academic-skills4.7k17 repos~2.9kAutomated safety check: PassMIT
Exploratory Data Analysisspacering-net/codeg3.9k14 repos~3.6kAutomated safety check: PassMIT
Scikit LearnzLanqing/codex-claude-academic-skills4.7k16 repos~3.9kAutomated safety check: PassBSD-3-Clause
Chart Visualizationbytedance/deer-flow84k2 repos~840Automated safety check: PassMIT
TimesFM Forecastinggoogle-research/timesfm34k—~4.7kAutomated safety check: PassApache-2.0

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Categories

Questions about Analysis Assumptions Log

What does Analysis Assumptions Log do?

Track and document analytical assumptions and decisions. An agent skill from nimrodfisher/data-analytics-skills. Analysis Assumptions Log is an agent skill from nimrodfisher/data-analytics-skills. Track and document analytical assumptions and decisions.

When should I use Analysis Assumptions Log?

Analysis Assumptions Log fits situations like: making analytical choices; documenting trade-offs; ensuring transparency; creating audit trails for analytical work.

How do I install Analysis Assumptions Log in Claude Code?

Run `npx skills add nimrodfisher/data-analytics-skills --skill analysis-assumptions-log -a claude-code`. Or copy the skill folder (02-documentation-knowledge/analysis-assumptions-log in nimrodfisher/data-analytics-skills) into .claude/skills/analysis-assumptions-log in your project. Claude Code loads it when a task matches its description.

How do I install Analysis Assumptions Log in Codex?

Run `npx skills add nimrodfisher/data-analytics-skills --skill analysis-assumptions-log -a codex`. Or copy the skill folder (02-documentation-knowledge/analysis-assumptions-log in nimrodfisher/data-analytics-skills) into .agents/skills/analysis-assumptions-log in your project. Codex loads it when a task matches its description.

Can I use Analysis Assumptions Log 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 nimrodfisher/data-analytics-skills --skill analysis-assumptions-log -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analysis-assumptions-log, .gemini/skills/analysis-assumptions-log, .github/skills/analysis-assumptions-log and .opencode/skills/analysis-assumptions-log in your project.

What does Analysis Assumptions Log need to run?

Going by SKILL.md and its folder, Analysis Assumptions Log needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Analysis Assumptions Log 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 Analysis Assumptions Log 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 Analysis Assumptions Log use?

Analysis Assumptions Log 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 Analysis Assumptions Log use?

About 578 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 827 tokens, read only when the agent opens those files.

What are the alternatives to Analysis Assumptions Log?

Skills that share tags, products or a category with Analysis Assumptions Log: Matplotlib (zLanqing/codex-claude-academic-skills, 4.7k stars), Exploratory Data Analysis (spacering-net/codeg, 3.9k stars), Scikit Learn (zLanqing/codex-claude-academic-skills, 4.7k stars) and Chart Visualization (bytedance/deer-flow, 84k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Analysis Assumptions Log?

nimrodfisher (a GitHub user) maintains it in nimrodfisher/data-analytics-skills, which has 468 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on September 25, 2026.

Source: nimrodfisher/data-analytics-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.