Reproduce Chat States
different-ai/openwork
Fires known chat states in the running OpenWork desktop app, such as provider errors, retries and tool steps, so you can check how each renders.
Pre-delivery quality assurance for analysis work. An agent skill from nimrodfisher/data-analytics-skills.
Install Analysis QA Checklist
$ npx skills add nimrodfisher/data-analytics-skills --skill analysis-qa-checklist -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install nimrodfisher/data-analytics-skills analysis-qa-checklist --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/nimrodfisher/data-analytics-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/05-stakeholder-communication/analysis-qa-checklist .claude/skills/analysis-qa-checklist && 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 "analysis-qa-checklist" agent skill from https://github.com/nimrodfisher/data-analytics-skills/tree/main/05-stakeholder-communication/analysis-qa-checklist into .claude/skills/analysis-qa-checklist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analysis-qa-checklist", 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/nimrodfisher/data-analytics-skills/tree/main/05-stakeholder-communication/analysis-qa-checklistType 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 nimrodfisher/data-analytics-skills --skill analysis-qa-checklist -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install nimrodfisher/data-analytics-skills analysis-qa-checklist --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nimrodfisher/data-analytics-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/05-stakeholder-communication/analysis-qa-checklist .agents/skills/analysis-qa-checklist && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "analysis-qa-checklist" agent skill from https://github.com/nimrodfisher/data-analytics-skills/tree/main/05-stakeholder-communication/analysis-qa-checklist into .agents/skills/analysis-qa-checklist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analysis-qa-checklist", 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 nimrodfisher/data-analytics-skills --skill analysis-qa-checklist -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install nimrodfisher/data-analytics-skills analysis-qa-checklist --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nimrodfisher/data-analytics-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/05-stakeholder-communication/analysis-qa-checklist .cursor/skills/analysis-qa-checklist && 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 "analysis-qa-checklist" agent skill from https://github.com/nimrodfisher/data-analytics-skills/tree/main/05-stakeholder-communication/analysis-qa-checklist into .cursor/skills/analysis-qa-checklist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analysis-qa-checklist", 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/nimrodfisher/data-analytics-skills.git --path 05-stakeholder-communication/analysis-qa-checklist--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 nimrodfisher/data-analytics-skills --skill analysis-qa-checklist -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install nimrodfisher/data-analytics-skills analysis-qa-checklist --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nimrodfisher/data-analytics-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/05-stakeholder-communication/analysis-qa-checklist .gemini/skills/analysis-qa-checklist && 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 "analysis-qa-checklist" agent skill from https://github.com/nimrodfisher/data-analytics-skills/tree/main/05-stakeholder-communication/analysis-qa-checklist into .gemini/skills/analysis-qa-checklist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analysis-qa-checklist", 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 nimrodfisher/data-analytics-skills analysis-qa-checklistInstalls 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 nimrodfisher/data-analytics-skills --skill analysis-qa-checklist -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/nimrodfisher/data-analytics-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/05-stakeholder-communication/analysis-qa-checklist .github/skills/analysis-qa-checklist && 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 "analysis-qa-checklist" agent skill from https://github.com/nimrodfisher/data-analytics-skills/tree/main/05-stakeholder-communication/analysis-qa-checklist into .github/skills/analysis-qa-checklist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analysis-qa-checklist", 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 nimrodfisher/data-analytics-skills --skill analysis-qa-checklist -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install nimrodfisher/data-analytics-skills analysis-qa-checklist --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nimrodfisher/data-analytics-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/05-stakeholder-communication/analysis-qa-checklist .opencode/skills/analysis-qa-checklist && 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 "analysis-qa-checklist" agent skill from https://github.com/nimrodfisher/data-analytics-skills/tree/main/05-stakeholder-communication/analysis-qa-checklist into .opencode/skills/analysis-qa-checklist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analysis-qa-checklist", 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
analysis-qa-checklist- GitHub stars
- 468
- Token cost
- ~470 tokens
- SKILL.md length
- 207 words
- Files
- 5 (incl. scripts, references, assets)
- Skills in repo
- 31
- Repo updated
- First seen
- Licence
- MIT
At a glance
Pre-delivery quality assurance for analysis work. An agent skill from nimrodfisher/data-analytics-skills.
- Works in 6 steps: Run automated checks — use… → Complete the logic checklist — work… → Review for common errors — cross-check… → …
- Reviewing analysis before sharing with stakeholders
- Runs Python scripts from its folder
- Checking for completeness
What it does
Analysis QA Checklist is an agent skill from nimrodfisher/data-analytics-skills. Pre-delivery quality assurance for analysis work. Use when reviewing analysis before sharing with stakeholders, checking for completeness, validating assumptions, or ensuring clarity of recommendations.
Its SKILL.md is about 470 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts, reference files and assets (for example `assets/qa_signoff_template.md`, `references/common_analysis_errors.md` and `references/qa_checklist_master.md`).
It sits in Testing & QA, covering QA and bug reports. 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
- Reviewing analysis before sharing with stakeholders
- Checking for completeness
- Validating assumptions
- Ensuring clarity of recommendations
Example prompts
- “/analysis-qa-checklist”
Requirements
- Python 3
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Run automated checks — use scripts/qa_runner.py against the output file to catch numeric, structural, and formatting issues…
- Complete the logic checklist — work through references/qa_checklist_master.md section by section: question framing, data sourcing…
- Review for common errors — cross-check against references/common_analysis_errors.md; pay special attention to the top-frequency mistakes…
- Validate assumptions explicitly — for every assumption in the analysis, verify it has a source, is documented, and the output is…
- Check the narrative — confirm the conclusion follows from the data, caveats are stated, and the recommendation is actionable.
- Record sign-off — complete assets/qa_signoff_template.md with reviewer, issues found, resolution status, and delivery decision.
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 QA Checklist loads about 470 tokens when it runs, and up to ~2.1k if it reads all its reference files. Until then it costs about 56 tokens; SKILL.md has 207 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 nimrodfisher/data-analytics-skills at commit 9449d36, republished under its MIT licence (© nimrodfisher). 207 words, ~470 tokens.
Download SKILL.mdSave it as
.claude/skills/analysis-qa-checklist/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- analysis-qa-checklist
- description
- Pre-delivery quality assurance for analysis work. Use when reviewing analysis before sharing with stakeholders, checking for completeness, validating assumptions, or ensuring clarity of recommendations.
When to use
Before sharing any analysis output with a stakeholder — dashboard, report, ad-hoc query result, model output, or written findings. Run this every time, not just for big projects. The cost of a post-delivery correction is always higher than the cost of a pre-delivery check.
Process
- Run automated checks — use
scripts/qa_runner.pyagainst the output file to catch numeric, structural, and formatting issues programmatically. - Complete the logic checklist — work through
references/qa_checklist_master.mdsection by section: question framing, data sourcing, transformations, statistical validity, findings, and presentation. - Review for common errors — cross-check against
references/common_analysis_errors.md; pay special attention to the top-frequency mistakes for the analysis type. - Validate assumptions explicitly — for every assumption in the analysis, verify it has a source, is documented, and the output is sensitivity-tested where the assumption is uncertain.
- Check the narrative — confirm the conclusion follows from the data, caveats are stated, and the recommendation is actionable.
- Record sign-off — complete
assets/qa_signoff_template.mdwith reviewer, issues found, resolution status, and delivery decision.
Inputs the skill needs
- Output file to review (CSV, notebook, SQL result, or written doc)
- Original analysis question / brief
- Name of reviewer and intended audience
Output
- QA runner report (automated flags)
- Completed checklist with pass/fail per section
- Signed-off
qa_signoff_template.mdconfirming delivery readiness
© 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 4 other files (scripts, references, assets) in 05-stakeholder-communication/analysis-qa-checklist of nimrodfisher/data-analytics-skills.
- SKILL.md
- assets/qa_signoff_template.md
- references/common_analysis_errors.md
- references/qa_checklist_master.md
- scripts/qa_runner.py
Open the folder on GitHubat commit 9449d36
Compare with similar skills
Analysis QA Checklist 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 |
|---|---|---|---|---|---|---|
| Analysis QA Checklist this skillnimrodfisher/data-analytics-skills | 468 | — | ~470 | Automated safety check: Pass | MIT | |
| Reproduce Chat Statesdifferent-ai/openwork | 24k | — | ~673 | Automated safety check: Pass | Custom licence | |
| Dynamo Jira TicketDynamoDS/Dynamo | 2k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Moav E2EMotherofallVPNs/MoaV | 448 | — | ~1.9k | Automated safety check: Notes | MIT | |
| Creating A Coral TaskHuman-Agent-Society/CORAL | 1.1k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Launch Rlmarin-community/marin | 3.9k | — | ~894 | Automated safety check: Pass | Apache-2.0 |
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Author a new CORAL task — the three pieces that must line up (task.yaml, seed/, a packaged grader/), the coral init → coral validate → smoke-test loop, and how to pick a grader pattern (stdout…
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Define, validate, submit, or restart a Marin SkyRL experiment through its artifact main.
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Related
Categories
Questions about Analysis QA Checklist
What does Analysis QA Checklist do?
Pre-delivery quality assurance for analysis work. An agent skill from nimrodfisher/data-analytics-skills. Analysis QA Checklist is an agent skill from nimrodfisher/data-analytics-skills. Pre-delivery quality assurance for analysis work.
When should I use Analysis QA Checklist?
Analysis QA Checklist fits situations like: reviewing analysis before sharing with stakeholders; checking for completeness; validating assumptions; ensuring clarity of recommendations.
How do I install Analysis QA Checklist in Claude Code?
Run `npx skills add nimrodfisher/data-analytics-skills --skill analysis-qa-checklist -a claude-code`. Or copy the skill folder (05-stakeholder-communication/analysis-qa-checklist in nimrodfisher/data-analytics-skills) into .claude/skills/analysis-qa-checklist in your project. Claude Code loads it when a task matches its description.
How do I install Analysis QA Checklist in Codex?
Run `npx skills add nimrodfisher/data-analytics-skills --skill analysis-qa-checklist -a codex`. Or copy the skill folder (05-stakeholder-communication/analysis-qa-checklist in nimrodfisher/data-analytics-skills) into .agents/skills/analysis-qa-checklist in your project. Codex loads it when a task matches its description.
Can I use Analysis QA Checklist 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-qa-checklist -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-qa-checklist, .gemini/skills/analysis-qa-checklist, .github/skills/analysis-qa-checklist and .opencode/skills/analysis-qa-checklist in your project.
What does Analysis QA Checklist need to run?
Going by SKILL.md and its folder, Analysis QA Checklist needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Analysis QA Checklist 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 QA Checklist 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 QA Checklist use?
Analysis QA Checklist 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 QA Checklist use?
About 470 tokens (SKILL.md is roughly 1.9k 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 1.6k tokens, read only when the agent opens those files.
What are the alternatives to Analysis QA Checklist?
Skills that share tags, products or a category with Analysis QA Checklist: Reproduce Chat States (different-ai/openwork, 24k stars), Dynamo Jira Ticket (DynamoDS/Dynamo, 2k stars), Moav E2E (MotherofallVPNs/MoaV, 448 stars) and Creating A Coral Task (Human-Agent-Society/CORAL, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Analysis QA Checklist?
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.