Quality assurance and testing protocols for statistical software

Custom licenceAuto-check passedTesting & QA

Install Statistical Software QA

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill statistical-software-qa -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills statistical-software-qa --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/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/26-Data-Wise-scholar/skills/implementation/statistical-software-qa .claude/skills/statistical-software-qa && 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
statistical-software-qa
GitHub stars
4.5k
Token cost
~3.5k tokens
SKILL.md length
363 words
Files
1
Skills in repo
369
Repo updated
First seen
Licence
Custom licence

At a glance

Quality assurance and testing protocols for statistical software

  • Works in 5 steps: Produce statistically correct results -… → Handle edge cases gracefully - Small… → Maintain numerical precision -… → …
  • Tasks that involve QA and bug reports
  • SKILL.md covers Testing Philosophy, Unit Testing Patterns, Reference Implementation Testing and Statistical Correctness Tests, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Statistical Software QA is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Quality assurance and testing protocols for statistical software

Its SKILL.md is about 3.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Testing & QA, covering QA and bug reports. The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI…

When your agent uses it

  • Tasks that involve QA and bug reports

Example prompts

  • “/statistical-software-qa”

Workflow steps

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

  1. Produce statistically correct results - Not just bug-free
  2. Handle edge cases gracefully - Small samples, boundary conditions
  3. Maintain numerical precision - Floating-point considerations
  4. Match known results - Verification against published examples
  5. Degrade gracefully - Informative errors, not crashes

What it can do on your machine

Read from SKILL.md and the folder at commit 9fa87d8. 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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are r, yaml and markdown).

    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

Statistical Software QA loads about 3.5k tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 363 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~22
When it runs · the whole SKILL.md, loaded when a task matches
~3.5k

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); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 363 words (~3,502 tokens).

“Quality assurance patterns and testing strategies for statistical R packages”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
statistical-software-qa

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/26-Data-Wise-scholar/skills/implementation/statistical-software-qa of brycewang-stanford/Auto-Empirical-Research-Skills.

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Statistical Software QA 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.

Statistical Software QA compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
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Dynamo Jira TicketDynamoDS/Dynamo2k—~1.1kAutomated safety check: PassApache-2.0
Minimal Run And Auditlllllllama/RigorPilot-Skills4972 repos~691Automated safety check: PassMIT
Moav E2EMotherofallVPNs/MoaV448—~1.9kAutomated safety check: NotesMIT
Creating A Coral TaskHuman-Agent-Society/CORAL1k—~2.2kAutomated safety check: PassApache-2.0

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Categories

Questions about Statistical Software QA

What does Statistical Software QA do?

Quality assurance and testing protocols for statistical software. Statistical Software QA is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.

When should I use Statistical Software QA?

Statistical Software QA fits situations like: tasks that involve QA and bug reports.

How do I install Statistical Software QA in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill statistical-software-qa -a claude-code`. Or copy the skill folder (skills/26-Data-Wise-scholar/skills/implementation/statistical-software-qa in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/statistical-software-qa in your project. Claude Code loads it when a task matches its description.

How do I install Statistical Software QA in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill statistical-software-qa -a codex`. Or copy the skill folder (skills/26-Data-Wise-scholar/skills/implementation/statistical-software-qa in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/statistical-software-qa in your project. Codex loads it when a task matches its description.

Can I use Statistical Software QA 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill statistical-software-qa -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/statistical-software-qa, .gemini/skills/statistical-software-qa, .github/skills/statistical-software-qa and .opencode/skills/statistical-software-qa in your project.

What does Statistical Software QA need to run?

SKILL.md names no scripts, command-line tools or credentials: Statistical Software QA is instructions for the agent only.

Does Statistical Software QA 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 Statistical Software QA 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. Review the folder before installing.

What licence does Statistical Software QA use?

Statistical Software QA has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Statistical Software QA use?

About 3.5k tokens (SKILL.md is roughly 14k 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 Statistical Software QA?

Skills that share tags, products or a category with Statistical Software QA: Reproduce Chat States (different-ai/openwork, 24k stars), Dynamo Jira Ticket (DynamoDS/Dynamo, 2k stars), Minimal Run And Audit (lllllllama/RigorPilot-Skills, 497 stars) and Moav E2E (MotherofallVPNs/MoaV, 448 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Statistical Software QA?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,517 GitHub stars. The repository holds 369 skills in this directory. The repository was last updated on October 5, 2026.

Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.