Scholar Ethics
joshzyj/open-scholar-skill
Research ethics toolkit for social scientists. An agent skill from joshzyj/open-scholar-skill.
Guides privacy audit sampling methodology including statistical and non-statistical sampling, sample size determination, stratification techniques, attribute sampling for compliance testing…
Install Audit Sampling Methods
$ npx skills add mukul975/Privacy-Data-Protection-Skills --skill audit-sampling-methods -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills audit-sampling-methods --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/mukul975/Privacy-Data-Protection-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/privacy/audit-sampling-methods .claude/skills/audit-sampling-methods && 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 "audit-sampling-methods" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/audit-sampling-methods into .claude/skills/audit-sampling-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audit-sampling-methods", 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/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/audit-sampling-methodsType 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 mukul975/Privacy-Data-Protection-Skills --skill audit-sampling-methods -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills audit-sampling-methods --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Privacy-Data-Protection-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/privacy/audit-sampling-methods .agents/skills/audit-sampling-methods && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "audit-sampling-methods" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/audit-sampling-methods into .agents/skills/audit-sampling-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audit-sampling-methods", 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 mukul975/Privacy-Data-Protection-Skills --skill audit-sampling-methods -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills audit-sampling-methods --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Privacy-Data-Protection-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/privacy/audit-sampling-methods .cursor/skills/audit-sampling-methods && 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 "audit-sampling-methods" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/audit-sampling-methods into .cursor/skills/audit-sampling-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audit-sampling-methods", 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/mukul975/Privacy-Data-Protection-Skills.git --path skills/privacy/audit-sampling-methods--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 mukul975/Privacy-Data-Protection-Skills --skill audit-sampling-methods -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills audit-sampling-methods --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Privacy-Data-Protection-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/privacy/audit-sampling-methods .gemini/skills/audit-sampling-methods && 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 "audit-sampling-methods" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/audit-sampling-methods into .gemini/skills/audit-sampling-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audit-sampling-methods", 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 mukul975/Privacy-Data-Protection-Skills audit-sampling-methodsInstalls 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 mukul975/Privacy-Data-Protection-Skills --skill audit-sampling-methods -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mukul975/Privacy-Data-Protection-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/privacy/audit-sampling-methods .github/skills/audit-sampling-methods && 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 "audit-sampling-methods" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/audit-sampling-methods into .github/skills/audit-sampling-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audit-sampling-methods", 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 mukul975/Privacy-Data-Protection-Skills --skill audit-sampling-methods -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills audit-sampling-methods --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Privacy-Data-Protection-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/privacy/audit-sampling-methods .opencode/skills/audit-sampling-methods && 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 "audit-sampling-methods" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/audit-sampling-methods into .opencode/skills/audit-sampling-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audit-sampling-methods", 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
audit-sampling-methods- GitHub stars
- 295
- Token cost
- ~1.6k tokens
- SKILL.md length
- 626 words
- Files
- 5 (incl. scripts, references, assets)
- Skills in repo
- 278
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Guides privacy audit sampling methodology including statistical and non-statistical sampling, sample size determination, stratification techniques, attribute sampling for compliance testing…
- Tasks that involve Experimental design
- SKILL.md covers Overview, Sampling Approaches, Statistical Sampling Methods and Non-Statistical Sampling Methods, plus 3 more sections
- Runs Python scripts from its folder
- Tasks that involve Privacy and GDPR
What it does
Audit Sampling Methods is an agent skill from mukul975/Privacy-Data-Protection-Skills. Guides privacy audit sampling methodology including statistical and non-statistical sampling, sample size determination, stratification techniques, attribute sampling for compliance testing, confidence level selection, tolerable deviation rates, and extrapolation of results to the population. Keywords: audit sampling, statistical sampling, attribute testing, sample size, confidence level, stratified sampling, privacy audit.
Its SKILL.md is about 1.6k 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/template.md`, `references/standards.md` and `references/workflows.md`).
It sits in Legal & Compliance, covering Experimental design and Privacy and GDPR. The repository describes itself as: 282+ structured privacy & data protection skills for AI agents. GDPR, CCPA, EU AI Act, HIPAA, LGPD, PIPL, DPDP Act. The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Experimental design
- Tasks that involve Privacy and GDPR
Example prompts
- “Use the audit-sampling-methods skill to guide privacy audit sampling methodology including statistical and non-statistical sampling, sample size…”
- “/audit-sampling-methods”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 9b2ef9e. 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
Audit Sampling Methods loads about 1.6k tokens when it runs, and up to ~3.7k if it reads all its reference files. Until then it costs about 113 tokens; SKILL.md has 626 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 mukul975/Privacy-Data-Protection-Skills at commit 9b2ef9e, republished under its Apache-2.0 licence (© mukul975). 626 words, ~1,550 tokens.
Download SKILL.mdSave it as
.claude/skills/audit-sampling-methods/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- audit-sampling-methods
- description
- Guides privacy audit sampling methodology including statistical and non-statistical sampling, sample size determination, stratification techniques, attribute sampling for compliance testing, confidence level selection, tolerable deviation rates, and extrapolation of results to the population. Keywords: audit sampling, statistical sampling, attribute testing, sample size, confidence level, stratified sampling, privacy audit.
- license
- Apache-2.0
- metadata.author
- mukul975
- metadata.version
- 1.0
- metadata.domain
- privacy
- metadata.subdomain
- privacy-audit-certification
- metadata.tags
- audit-sampling, statistical-sampling, attribute-testing, sample-size, stratified-sampling
Privacy Audit Sampling Methods
Overview
Audit sampling is the application of audit procedures to less than 100% of items within a population to form a conclusion about the entire population. In privacy auditing, sampling is used to test compliance of processing activities, DSAR responses, consent records, vendor contracts, and other privacy controls without examining every individual record.
ISA 530 (International Standard on Auditing — Audit Sampling) and IIA Practice Advisory 2320-3 (Audit Sampling) provide the authoritative frameworks. For privacy audits, sampling must account for the heightened regulatory scrutiny of personal data processing and the potential for significant harm from individual non-compliant records.
Sampling Approaches
| Approach | Description | When to Use |
|---|---|---|
| Statistical Sampling | Uses probability theory to select samples and evaluate results; allows quantification of sampling risk | When audit conclusions must be defensible to regulators; large populations; need to extrapolate results |
| Non-Statistical (Judgemental) Sampling | Auditor uses professional judgement to select items | Small populations; targeted testing of known risk areas; supplementary to statistical sampling |
Statistical Sampling Methods
Attribute Sampling
Used to estimate the rate of deviation (non-compliance) in a population.
| Parameter | Description | Typical Privacy Audit Values |
|---|---|---|
| Population Size | Total items in the auditable population | e.g., 1,000 DSARs, 500 vendor contracts |
| Confidence Level | Probability that sample results reflect the population | 90% (standard); 95% (regulatory-facing) |
| Tolerable Deviation Rate | Maximum acceptable non-compliance rate | 5% (standard); 2% (critical controls) |
| Expected Deviation Rate | Estimated actual non-compliance rate | Based on prior audits or risk assessment |
| Sample Size | Number of items to test | Calculated from above parameters |
Sample Size Reference Table (Attribute Sampling)
| Population | 90% Confidence / 5% Tolerable | 95% Confidence / 5% Tolerable | 95% Confidence / 2% Tolerable |
|---|---|---|---|
| 100 | 38 | 45 | 64 |
| 250 | 42 | 50 | 100 |
| 500 | 44 | 54 | 131 |
| 1,000 | 45 | 57 | 154 |
| 5,000 | 46 | 59 | 176 |
| 10,000+ | 46 | 59 | 181 |
Stratified Sampling
Divides the population into subgroups (strata) and samples proportionally or disproportionately from each.
| Stratification Factor | Example Strata | Rationale |
|---|---|---|
| Business Unit | EU, US, APAC | Different regulatory requirements per jurisdiction |
| Data Sensitivity | Standard, sensitive, special category | Higher-risk data categories warrant more testing |
| Processing Purpose | Marketing, HR, customer service | Different compliance requirements per purpose |
| Time Period | Q1, Q2, Q3, Q4 | Detect seasonal patterns or deterioration |
| Vendor Tier | Tier 1 (high volume), Tier 2, Tier 3 | Focus sampling on highest-risk vendors |
Show full SKILL.md (258 more words)Show less
Non-Statistical Sampling Methods
| Method | Description | Application |
|---|---|---|
| Haphazard Selection | Items selected without structured method but avoiding bias | Quick preliminary testing |
| Block Selection | All items in a specific period or location | Testing a specific time window (e.g., all DSARs in March) |
| Judgemental Selection | Auditor selects items based on risk factors | Targeting high-value items, known exceptions, or anomalies |
Privacy-Specific Sampling Considerations
| Consideration | Guidance |
|---|---|
| Individual harm threshold | Even a single non-compliant record can cause significant harm; auditors must not dismiss isolated findings |
| Regulatory expectations | Supervisory authorities may expect higher confidence levels for critical controls (breach notification, consent) |
| Special category data | Apply lower tolerable deviation rates (2%) for processing involving special category data under Article 9 |
| Automated processing | For fully automated processes, increase sample to verify algorithmic consistency across edge cases |
| Cross-border transfers | Stratify by destination country to verify adequacy/safeguard mechanism for each transfer route |
Evaluating Sample Results
| Scenario | Sample Deviation Rate | Conclusion |
|---|---|---|
| Rate below tolerable deviation | e.g., 2% observed vs 5% tolerable | Population likely compliant; no material finding |
| Rate equals tolerable deviation | e.g., 5% observed vs 5% tolerable | Borderline; consider expanding sample or raising as medium finding |
| Rate exceeds tolerable deviation | e.g., 12% observed vs 5% tolerable | Material non-compliance; formal finding required |
| Zero deviations found | 0% observed | Strong evidence of compliance (but does not guarantee 100%) |
Extrapolation
When sample results show deviations, the auditor must project findings to the full population:
| Element | Calculation |
|---|---|
| Point estimate | (Deviations found / Sample size) × Population size |
| Upper deviation limit | Calculated using statistical tables at the selected confidence level |
| Projected monetary impact | Point estimate × average impact per deviation |
© mukul975, Apache-2.0. 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 skills/privacy/audit-sampling-methods of mukul975/Privacy-Data-Protection-Skills.
- SKILL.md
- assets/template.md
- references/standards.md
- references/workflows.md
- scripts/process.py
Open the folder on GitHubat commit 9b2ef9e
Compare with similar skills
Audit Sampling Methods 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 |
|---|---|---|---|---|---|---|
| Audit Sampling Methods this skillmukul975/Privacy-Data-Protection-Skills | 295 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Scholar Ethicsjoshzyj/open-scholar-skill | 168 | — | ~9.6k | Automated safety check: Pass | Custom licence | |
| C15tc15t/c15t | 1.9k | 1 repos | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| HIPAA Safe Harbor Coverage Auditmaziyarpanahi/openmed | 5.5k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Korean Privacy Termskimlawtech/korean-privacy-terms | 586 | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | |
| Gdpr ComplianceSushegaad/Claude-Skills-Governance-Risk-and-Compliance | 942 | 1 repos | ~3.9k | Automated safety check: Pass | MIT |
Similar skills
C15t
c15t/c15t
Work with c15t consent management docs, APIs, and integrations for Next.js, React, and JavaScript.
HIPAA Safe Harbor Coverage Audit
maziyarpanahi/openmed
Checks OpenMed de-identified clinical text against the 18 HIPAA Safe Harbor identifier categories and reports gaps and residual re-identification risk.
Korean Privacy Terms
kimlawtech/korean-privacy-terms
처리방침·이용약관 자동 생성 스킬 패키지 (v4.0). An agent skill from kimlawtech/korean-privacy-terms.
Gdpr Compliance
Sushegaad/Claude-Skills-Governance-Risk-and-Compliance
Expert GDPR compliance assistant covering all four core workflows: (1) auditing code and systems for GDPR violations, (2) drafting GDPR-compliant documents such as privacy policies, Data Processing…
Hipaa Compliance
Sushegaad/Claude-Skills-Governance-Risk-and-Compliance
Expert HIPAA compliance assistant for healthcare and software contexts.
More from mukul975/Privacy-Data-Protection-Skills
All 278 skills in this repoAge Gating Services
mukul975/Privacy-Data-Protection-Skills
Implements age-gating mechanisms for online services to restrict access based on user age.
AI Data Retention
mukul975/Privacy-Data-Protection-Skills
Manages AI model retention and machine unlearning requirements.
Dpia Mitigation Plan
mukul975/Privacy-Data-Protection-Skills
Structures risk mitigation planning and residual risk tracking for Data Protection Impact Assessments under GDPR Article 35(7)(d).
Gdpr Accountability
mukul975/Privacy-Data-Protection-Skills
Guides implementation of the GDPR accountability principle under Articles 5(2) and 24, including documentation requirements for policies, DPIAs, RoPA, training records, and breach logs.
Pia Threshold Screening
mukul975/Privacy-Data-Protection-Skills
Conducts pre-DPIA threshold screening to determine whether a full Data Protection Impact Assessment is required under GDPR Article 35.
Retention Schedule
mukul975/Privacy-Data-Protection-Skills
Designs and implements data retention schedules compliant with GDPR Article 5(1)(e) storage limitation principle.
Related
Categories
Questions about Audit Sampling Methods
What does Audit Sampling Methods do?
Guides privacy audit sampling methodology including statistical and non-statistical sampling, sample size determination, stratification techniques, attribute sampling for compliance testing…. Audit Sampling Methods is an agent skill from mukul975/Privacy-Data-Protection-Skills. Guides privacy audit sampling methodology including statistical and non-statistical sampling, sample size determination, stratification techniques, attribute sampling for compliance testing, confidence level selection, tolerable deviation rates, and extrapolation of results to the population.
When should I use Audit Sampling Methods?
Audit Sampling Methods fits situations like: tasks that involve Experimental design; tasks that involve Privacy and GDPR.
How do I install Audit Sampling Methods in Claude Code?
Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill audit-sampling-methods -a claude-code`. Or copy the skill folder (skills/privacy/audit-sampling-methods in mukul975/Privacy-Data-Protection-Skills) into .claude/skills/audit-sampling-methods in your project. Claude Code loads it when a task matches its description.
How do I install Audit Sampling Methods in Codex?
Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill audit-sampling-methods -a codex`. Or copy the skill folder (skills/privacy/audit-sampling-methods in mukul975/Privacy-Data-Protection-Skills) into .agents/skills/audit-sampling-methods in your project. Codex loads it when a task matches its description.
Can I use Audit Sampling Methods 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 mukul975/Privacy-Data-Protection-Skills --skill audit-sampling-methods -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/audit-sampling-methods, .gemini/skills/audit-sampling-methods, .github/skills/audit-sampling-methods and .opencode/skills/audit-sampling-methods in your project.
What does Audit Sampling Methods need to run?
Going by SKILL.md and its folder, Audit Sampling Methods needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Audit Sampling Methods 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 Audit Sampling Methods 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 Audit Sampling Methods use?
Audit Sampling Methods is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Audit Sampling Methods use?
About 1.6k tokens (SKILL.md is roughly 6.2k 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 2.1k tokens, read only when the agent opens those files.
What are the alternatives to Audit Sampling Methods?
Skills that share tags, products or a category with Audit Sampling Methods: Scholar Ethics (joshzyj/open-scholar-skill, 168 stars), C15t (c15t/c15t, 1.9k stars), HIPAA Safe Harbor Coverage Audit (maziyarpanahi/openmed, 5.5k stars) and Korean Privacy Terms (kimlawtech/korean-privacy-terms, 586 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Audit Sampling Methods?
mukul975 (a GitHub user) maintains it in mukul975/Privacy-Data-Protection-Skills, which has 295 GitHub stars. The repository holds 278 skills in this directory. The repository was last updated on March 16, 2026.
Source: mukul975/Privacy-Data-Protection-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.