Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
Agent skill
Cogpsych Theory And Hypotheses
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when stating the theory, formalizing the model, and deriving predictions for a Cognitive Psychology (Elsevier) manuscript.
Install Cogpsych Theory And Hypotheses
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cogpsych-theory-and-hypotheses -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cogpsych-theory-and-hypotheses --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/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Cognitive-Psychology-Skills/skills/cogpsych-theory-and-hypotheses .claude/skills/cogpsych-theory-and-hypotheses && 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 "cogpsych-theory-and-hypotheses" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Cognitive-Psychology-Skills/skills/cogpsych-theory-and-hypotheses into .claude/skills/cogpsych-theory-and-hypotheses/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cogpsych-theory-and-hypotheses", 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/brycewang-stanford/Awesome-Journal-Skills/tree/main/Cognitive-Psychology-Skills/skills/cogpsych-theory-and-hypothesesType 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 brycewang-stanford/Awesome-Journal-Skills --skill cogpsych-theory-and-hypotheses -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cogpsych-theory-and-hypotheses --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Cognitive-Psychology-Skills/skills/cogpsych-theory-and-hypotheses .agents/skills/cogpsych-theory-and-hypotheses && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cogpsych-theory-and-hypotheses" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Cognitive-Psychology-Skills/skills/cogpsych-theory-and-hypotheses into .agents/skills/cogpsych-theory-and-hypotheses/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cogpsych-theory-and-hypotheses", 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 brycewang-stanford/Awesome-Journal-Skills --skill cogpsych-theory-and-hypotheses -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cogpsych-theory-and-hypotheses --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Cognitive-Psychology-Skills/skills/cogpsych-theory-and-hypotheses .cursor/skills/cogpsych-theory-and-hypotheses && 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 "cogpsych-theory-and-hypotheses" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Cognitive-Psychology-Skills/skills/cogpsych-theory-and-hypotheses into .cursor/skills/cogpsych-theory-and-hypotheses/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cogpsych-theory-and-hypotheses", 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/brycewang-stanford/Awesome-Journal-Skills.git --path Cognitive-Psychology-Skills/skills/cogpsych-theory-and-hypotheses--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 brycewang-stanford/Awesome-Journal-Skills --skill cogpsych-theory-and-hypotheses -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cogpsych-theory-and-hypotheses --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Cognitive-Psychology-Skills/skills/cogpsych-theory-and-hypotheses .gemini/skills/cogpsych-theory-and-hypotheses && 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 "cogpsych-theory-and-hypotheses" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Cognitive-Psychology-Skills/skills/cogpsych-theory-and-hypotheses into .gemini/skills/cogpsych-theory-and-hypotheses/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cogpsych-theory-and-hypotheses", 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 brycewang-stanford/Awesome-Journal-Skills cogpsych-theory-and-hypothesesInstalls 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 brycewang-stanford/Awesome-Journal-Skills --skill cogpsych-theory-and-hypotheses -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/Cognitive-Psychology-Skills/skills/cogpsych-theory-and-hypotheses .github/skills/cogpsych-theory-and-hypotheses && 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 "cogpsych-theory-and-hypotheses" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Cognitive-Psychology-Skills/skills/cogpsych-theory-and-hypotheses into .github/skills/cogpsych-theory-and-hypotheses/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cogpsych-theory-and-hypotheses", 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 brycewang-stanford/Awesome-Journal-Skills --skill cogpsych-theory-and-hypotheses -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cogpsych-theory-and-hypotheses --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Cognitive-Psychology-Skills/skills/cogpsych-theory-and-hypotheses .opencode/skills/cogpsych-theory-and-hypotheses && 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 "cogpsych-theory-and-hypotheses" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Cognitive-Psychology-Skills/skills/cogpsych-theory-and-hypotheses into .opencode/skills/cogpsych-theory-and-hypotheses/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cogpsych-theory-and-hypotheses", 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
cogpsych-theory-and-hypotheses- GitHub stars
- 1.2k
- Token cost
- ~1.6k tokens
- SKILL.md length
- 636 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when stating the theory, formalizing the model, and deriving predictions for a Cognitive Psychology (Elsevier) manuscript.
- Works in 6 steps: State the cognitive theory. What… → Formalize it. Write the model: its… → Name the rival model(s). Specify the… → …
- Stating the theory
- SKILL.md covers When to trigger, Build the theory-and-model, Avoiding the "just a curve… and Worked micro-example — theory…, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Cogpsych Theory And Hypotheses is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when stating the theory, formalizing the model, and deriving predictions for a Cognitive Psychology (Elsevier) manuscript. The journal rewards a formal/computational account whose parameters mean something and whose predictions discriminate it from rivals. Structures the theory and the model that the experiments test; it does not fit the model or run analyses.
Its SKILL.md is about 1.6k 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 Research & Science. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的… The licence is MIT.
When your agent uses it
- Stating the theory
- Formalizing the model
- Deriving predictions for a Cognitive Psychology (Elsevier) manuscript
Example prompts
- “/cogpsych-theory-and-hypotheses”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- State the cognitive theory. What mechanism or representation explains the phenomenon, and why —
- Formalize it. Write the model: its representations, processes, free parameters, and what each
- Name the rival model(s). Specify the competing account(s) in the same formal language so the
- Derive discriminating predictions. Identify the data pattern that the models predict
- Mark prediction status. Separate confirmatory (pre-committed/preregistered) predictions from
- State what would disconfirm the model. Which data pattern, or which parameter estimate, would
What it can do on your machine
Read from SKILL.md and the folder at commit 932eb23. 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.
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
Cogpsych Theory And Hypotheses loads about 1.6k tokens when it runs. Until then it costs about 99 tokens; SKILL.md has 636 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); files beside SKILL.md are not scanned.
SKILL.md
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 636 words, ~1,643 tokens.
Download SKILL.mdSave it as
.claude/skills/cogpsych-theory-and-hypotheses/SKILL.md (or your agent's skills folder).- name
- cogpsych-theory-and-hypotheses
- description
- Use when stating the theory, formalizing the model, and deriving predictions for a Cognitive Psychology (Elsevier) manuscript. The journal rewards a formal/computational account whose parameters mean something and whose predictions discriminate it from rivals. Structures the theory and the model that the experiments test; it does not fit the model or run analyses.
Theory, Models & Hypotheses (cogpsych-theory-and-hypotheses)
Cognitive Psychology rewards a formal account of a cognitive process — a computational or mathematical model whose parameters have interpretable meaning and whose predictions can be fit to data and compared against rival models. The cardinal move here is to turn a verbal theory into a model that makes the experiments discriminating, and to separate predicted (confirmatory) from discovered (exploratory) results.
When to trigger
- Specifying the theory and the formal/computational model that the experiments will test
- Deriving the predictions that separate your account from rival models
- Co-designing the model with the experiments (iterate with
cogpsych-study-design) - A reviewer said the work is "atheoretical," "the model is just a curve fit," or "your data don't distinguish the accounts"
Build the theory-and-model
- State the cognitive theory. What mechanism or representation explains the phenomenon, and why — in words, before equations. Name the rival accounts you intend to adjudicate.
- Formalize it. Write the model: its representations, processes, free parameters, and what each parameter means psychologically. A model whose parameters lack interpretation is a red flag here.
- Name the rival model(s). Specify the competing account(s) in the same formal language so the comparison is fair (nested or matched-flexibility where possible).
- Derive discriminating predictions. Identify the data pattern that the models predict differently — that qualitative or quantitative signature is what your experiments must produce.
- Mark prediction status. Separate confirmatory (pre-committed/preregistered) predictions from exploratory model exploration done after seeing data; do not present a post hoc fit as predicted.
- State what would disconfirm the model. Which data pattern, or which parameter estimate, would count against your account — this is what makes the model a theory, not a fitting exercise.
Avoiding the "just a curve fit" objection
- A model that fits anything explains nothing. Show the model is falsifiable (some data it cannot
produce) and identifiable (its parameters can be recovered — handoff to
cogpsych-data-analysis). - Prefer qualitative signatures that one model predicts and the other forbids over a small numerical edge in fit; reviewers trust a crossed prediction more than a smaller AIC.
Worked micro-example — theory to discriminating prediction (illustrative)
A recognition-memory program adjudicating two models, written so prediction status is legible.
Theory: Recognition reflects a single continuous memory-strength signal;
the unequal-variance signal-detection (UVSD) model formalizes it.
Rival: A dual-process account adds a threshold recollection process (DPSD).
Formalization:
UVSD parameters: d', sigma(old). DPSD parameters: R (recollection),
d' (familiarity). Both fit the same confidence-ROC data.
Discriminating prediction (confirmatory, preregistered, Exps 1-3):
The z-ROC slope is < 1 and *linear* under UVSD; DPSD predicts a
characteristic U-shaped/curved z-ROC. The shape, not the fit index,
separates them.
Exploratory: any post hoc parameter that improves DPSD fit is reported as
exploratory, not as a prediction.
Disconfirming: a reliably curved z-ROC across experiments counts against UVSD,
stated up front.Show full SKILL.md (275 more words)Show less
Theory-stage reviewer pushback and the venue fix
| Reviewer pushback | Cognitive Psychology fix |
|---|---|
| "Atheoretical / mechanism unclear" | state the mechanism in words, then give the formal model before the experiments |
| "The model is just a curve fit" | show a falsifiable, identifiable model with a crossed qualitative prediction, not only a fit edge |
| "Your data can't distinguish the accounts" | design the discriminating signature into the experiments; formalize both rivals in the same language |
| "Parameters are uninterpretable" | give each free parameter a psychological meaning and a recovery check |
| "This looks post hoc" | mark confirmatory vs. exploratory; pre-commit the model comparison where feasible |
Theory calibration anchors
- The contribution is the model-as-theory, not the experiments alone; experiments earn their place by discriminating models, and the model earns its place by being falsifiable and identifiable.
- A crossed qualitative prediction (one model predicts a pattern the other forbids) is worth more than a marginal fit advantage; lead with it.
- Pre-commit the model space and the comparison criteria before fitting where you can; deciding the winning model after seeing the fits is the modeling form of HARKing.
- Match model flexibility when comparing — a more flexible model that fits better may simply be
overfitting; this is why parameter recovery and model recovery matter (
cogpsych-data-analysis).
Anti-patterns
- A verbal theory with no formal model where the phenomenon is plainly formalizable
- A model with uninterpretable parameters or that cannot fail to fit
- Comparing models of unequal flexibility without acknowledging it
- Presenting a post hoc model selection as a predicted result
- No statement of which data or parameter estimate would disconfirm the account
Output format
【Theory】the mechanism/representation, briefly
【Model】formalization: parameters + their psychological meaning
【Rival(s)】competing account(s) in matched formal language
【Discriminating prediction】the signature that separates the models
【Status】confirmatory (pre-committed) vs exploratory
【Disconfirming evidence】what would count against the model
【Next】cogpsych-literature-positioningSupplementary resources
../../resources/external_tools.md— modeling frameworks, model-recovery and preregistration tools../../resources/official-source-map.md— scope and modeling emphasis
© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in Cognitive-Psychology-Skills/skills/cogpsych-theory-and-hypotheses of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Cogpsych Theory And Hypotheses 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 |
|---|---|---|---|---|---|---|
| Cogpsych Theory And Hypotheses this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Hypothesis Generationspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Notes | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Content Research Writerweapp-tailwindcss/weapp-tailwindcss | 1.9k | 25 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Last30daysmvanhorn/last30days-skill | 64k | — | ~7.9k | Automated safety check: Notes | MIT |
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Nature Paper Card
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Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
Content Research Writer
weapp-tailwindcss/weapp-tailwindcss
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.
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Structured manuscript/grant review with checklist-based evaluation.
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Questions about Cogpsych Theory And Hypotheses
What does Cogpsych Theory And Hypotheses do?
A skill your agent uses when stating the theory, formalizing the model, and deriving predictions for a Cognitive Psychology (Elsevier) manuscript. Cogpsych Theory And Hypotheses is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when stating the theory, formalizing the model, and deriving predictions for a Cognitive Psychology (Elsevier) manuscript.
When should I use Cogpsych Theory And Hypotheses?
Cogpsych Theory And Hypotheses fits situations like: stating the theory; formalizing the model; deriving predictions for a Cognitive Psychology (Elsevier) manuscript.
How do I install Cogpsych Theory And Hypotheses in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cogpsych-theory-and-hypotheses -a claude-code`. Or copy the skill folder (Cognitive-Psychology-Skills/skills/cogpsych-theory-and-hypotheses in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/cogpsych-theory-and-hypotheses in your project. Claude Code loads it when a task matches its description.
How do I install Cogpsych Theory And Hypotheses in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cogpsych-theory-and-hypotheses -a codex`. Or copy the skill folder (Cognitive-Psychology-Skills/skills/cogpsych-theory-and-hypotheses in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/cogpsych-theory-and-hypotheses in your project. Codex loads it when a task matches its description.
Can I use Cogpsych Theory And Hypotheses 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/Awesome-Journal-Skills --skill cogpsych-theory-and-hypotheses -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cogpsych-theory-and-hypotheses, .gemini/skills/cogpsych-theory-and-hypotheses, .github/skills/cogpsych-theory-and-hypotheses and .opencode/skills/cogpsych-theory-and-hypotheses in your project.
What does Cogpsych Theory And Hypotheses need to run?
SKILL.md names no scripts, command-line tools or credentials: Cogpsych Theory And Hypotheses is instructions for the agent only.
Does Cogpsych Theory And Hypotheses 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 Cogpsych Theory And Hypotheses 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 Cogpsych Theory And Hypotheses use?
Cogpsych Theory And Hypotheses 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 Cogpsych Theory And Hypotheses use?
About 1.6k tokens (SKILL.md is roughly 6.6k 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 Cogpsych Theory And Hypotheses?
Skills that share tags, products or a category with Cogpsych Theory And Hypotheses: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Cogpsych Theory And Hypotheses?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.
Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.