Test Planning
petrkindlmann/qa-skills
Build a single sprint or release test plan. An agent skill from petrkindlmann/qa-skills.
Adversarial review court — a delivery (diff, PR, test suite, or artifact) is prosecuted by independent AI reviewers from different vendors, each with its own probe set, then a SHIP verdict must…
$ npx skills add proffesor-for-testing/agentic-qe --skill qe-court -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install proffesor-for-testing/agentic-qe qe-court --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/proffesor-for-testing/agentic-qe.git skills-src && mkdir -p .claude/skills && cp -r skills-src/assets/skills/qe-court .claude/skills/qe-court && 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 "qe-court" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/qe-court into .claude/skills/qe-court/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qe-court", 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/proffesor-for-testing/agentic-qe/tree/main/assets/skills/qe-courtType 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 proffesor-for-testing/agentic-qe --skill qe-court -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install proffesor-for-testing/agentic-qe qe-court --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe.git skills-src && mkdir -p .agents/skills && cp -r skills-src/assets/skills/qe-court .agents/skills/qe-court && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "qe-court" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/qe-court into .agents/skills/qe-court/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qe-court", 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 proffesor-for-testing/agentic-qe --skill qe-court -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install proffesor-for-testing/agentic-qe qe-court --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/assets/skills/qe-court .cursor/skills/qe-court && 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 "qe-court" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/qe-court into .cursor/skills/qe-court/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qe-court", 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/proffesor-for-testing/agentic-qe.git --path assets/skills/qe-court--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 proffesor-for-testing/agentic-qe --skill qe-court -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install proffesor-for-testing/agentic-qe qe-court --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/assets/skills/qe-court .gemini/skills/qe-court && 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 "qe-court" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/qe-court into .gemini/skills/qe-court/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qe-court", 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 proffesor-for-testing/agentic-qe qe-courtInstalls 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 proffesor-for-testing/agentic-qe --skill qe-court -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe.git skills-src && mkdir -p .github/skills && cp -r skills-src/assets/skills/qe-court .github/skills/qe-court && 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 "qe-court" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/qe-court into .github/skills/qe-court/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qe-court", 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 proffesor-for-testing/agentic-qe --skill qe-court -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install proffesor-for-testing/agentic-qe qe-court --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/assets/skills/qe-court .opencode/skills/qe-court && 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 "qe-court" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/qe-court into .opencode/skills/qe-court/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qe-court", 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.
qe-courtAdversarial review court — a delivery (diff, PR, test suite, or artifact) is prosecuted by independent AI reviewers from different vendors, each with its own probe set, then a SHIP verdict must…
Qe Court is an agent skill from proffesor-for-testing/agentic-qe. Adversarial review court — a delivery (diff, PR, test suite, or artifact) is prosecuted by independent AI reviewers from different vendors, each with its own probe set, then a SHIP verdict must SURVIVE escalating deeper reviewers before it stands. Use when you want more than one reviewer's opinion on whether something is safe to ship: pre-merge gating, release go/no-go, catching a too-easy PASS, or any 'is this actually done?' decision where a shallow approval is a risk. Produces a signed court record with a…
Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including scripts (for example `config-schema.json`, `config.json` and `evals/fixtures/seeded-mutant-delivery/README.md`).
It sits in Testing & QA, covering Test generation and Feature launches and release readiness. The repository describes itself as: Agentic QE Fleet is an open-source AI-powered QA/QE platform designed for use with Coding Agents (works best with Claude Code) featuring specialized agents and skills to support… The licence is MIT.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 1363bc7. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (TypeScript), which the agent can run.
Shell commands in SKILL.md call:
codexFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Qe Court loads about 3.2k tokens when it runs. Until then it costs about 169 tokens; SKILL.md has 1,368 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.
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.
The full file from proffesor-for-testing/agentic-qe at commit 1363bc7, republished under its MIT licence (© proffesor-for-testing). 1,368 words, ~3,162 tokens.
.claude/skills/qe-court/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.One reviewer — even a strong one — is one Einstein squinting at the chalkboard.
QE-Court convenes independent adversaries from different vendors, with different
roles and different probe sets, makes them attack the delivery, and then forces
any SHIP verdict to survive an escalating deeper review before it stands. You
stay in the loop as the final judge. Implements ADR-124; composes ADR-117..122.
The one rule that makes it a court and not a rubber stamp: a passing grade is
the claim under attack, not the finish line. A shallow 91/100 SHIP that a
deeper reviewer can overturn is a bug in the review, not a delivery that shipped.
For a quick single-lens review, use /sherlock-review, /brutal-honesty-review,
or /code-review instead — the court is for when one opinion isn't enough.
| Role | Who | Job |
|---|---|---|
| Defense | writer model (summarizer) | States the case-FOR-ship from the evidence. Never grades. |
| Prosecution | qe-devils-advocate, brutal-honesty-review, sherlock-review, qe-security-scanner, qe-mutation-tester, codex exec review | Each files CHARGES against the delivery, with its own probe set, blind to the others until filing. |
| Blind refuter | src/verification/adversarial-verify | Tries to KILL weak charges (default-refuted-if-uncertain). |
| Jury | two-gate LLM-judge (ADR-119), cross-model | Weighs surviving charges → verdict + (optional) score. |
| Deeper reviewer | higher effort/model tier of any prosecutor | The overturn round. |
| Judge | you (the human) | Sees the strongest case for AND against; rules. |
⚠️ Do NOT run the reduced 3-dimension QCSD workflow as the court engine. It can falsely rate SHIP by skipping the security / mutation / defect lanes. Spawn the specialized
qe-*prosecutors above, or you reproduce the exact false-SHIP the court exists to catch. (ADR-124; seeqcsd-development-swarm.)
The court's guarantees come from who reviews, not just how. Routing is
user-configurable in config.json under routing; the defaults below enforce
the invariants. Every model call goes through AQE's provider layer (ADR-123), so
budget caps and cost receipts apply automatically.
| Step | Default provider / tier | Why |
|---|---|---|
| Defense | claude-code (default) or cognitum-low (may equal writer) | Cheap; states the case, never grades. Must differ in vendor from the jury |
| Prosecutor — devils-advocate | cognitum-mid | Gap/assumption hunting |
| Prosecutor — brutal-honesty | claude-code (Opus/Sonnet) | Rigor lens, different family from jury |
| Prosecutor — sherlock | cognitum-high | Deductive/root-cause needs a strong model |
| Prosecutor — security-scanner | SAST tool + cognitum-mid | Determinism where possible |
| Prosecutor — mutation | mutation tool + local/booster | Test-adequacy is mechanical |
| Prosecutor — codex-review | codex (ChatGPT sub) | Cross-vendor GPT brain — true writer≠juror; ≈$0 |
| Jury (two-gate judge) | cognitum-high or Opus, provider ≠ writer | Must not grade its own family's output |
| Deeper reviewer | highest tier / best-of-N @ higher effort | Escalation must be stronger than the base panel |
Provider menu (mix freely in routing): claude-code (Claude subscription),
cognitum-{low,mid,high} (Cognitum's own multi-model tiers — one option, it routes
internally), openrouter (use when you want many distinct models across vendors
for breadth), codex (GPT via ChatGPT subscription), claude/openai/gemini
(metered APIs), ollama (local). Cognitum and OpenRouter are separate options:
Cognitum already resolves multiple models behind its tiers; OpenRouter is the lever
when you explicitly want to name several different models.
Enforced invariants (defaults; do not weaken without reason):
cognitum-low and cognitum-high are the same
vendor, so pairing them across defense and jury is a violation, not a diverse panel.ProviderManager → ADR-123 budget cap + receipts.Invariants 1–2 are machine-checked by validateCourtConfig() in referee.ts, which
the court MUST call before seating a panel (see How to run it). The options block
below binds directly to that check — minDistinctVendors and writerIsNeverJuror are
read, not decorative.
DELIVERY (diff / PR / test-suite / artifact)
│ 1. DEFENSE — writer model states the case for shipping, from evidence only.
│ 2. PROSECUTION (parallel, blind) — N specialized reviewers, DIFFERENT vendors,
│ each generates its OWN probe set and files CHARGES (finding + reproduction).
│ 3. KILL ROUND — blind refuters attack each charge; weak/unreproducible ones dropped.
│ 4. JURY — two-gate judge, cross-model, writer≠juror. 3-valued verdict.
│ A numeric score is emitted ONLY if its rubric passed the ADR-122 ANOVA screen.
│ 5. OVERTURN ROUND — if verdict == SHIP, escalate ONE deeper reviewer. Loop-until-dry:
│ SHIP only STANDS if K consecutive deeper rounds find nothing new. Surviving fatal → flip.
│ 6. SIGNED COURT RECORD — provenance-tier surviving charges (ADR-121), sign (ADR-118).
▼ HUMAN JUDGE (you) — rules SHIP / REMAND / BLOCK on the strongest case both ways.| Verdict | Meaning | Trigger |
|---|---|---|
| SHIP | Survived the overturn round | No fatal charge survived K deeper rounds |
| REMAND | Fixable charges — back to author | Non-fatal charges survived; delivery is close |
| BLOCK | A fatal charge survived | ≥1 fatal charge reproduced and not refuted |
A verdict is not the end; it is training signal. After each court run:
src/learning/qe-flywheel/receipt.ts createSigner / platform-signer.ts,
persisted via receipt-store.ts). The verdict + surviving charges are the body.qe_pattern (ADR-110) at provenance
tier oracle:test-exec (ADR-121 — it reproduced, so it is oracle-grade).
Killed/refuted charges are NOT stored as positives (noise control).{shallow: SHIP, true: BLOCK|REMAND, charge} as a discriminator training pair
for the frozen anchor (ADR-117) and two-gate judge (ADR-119). This is what makes
the court harder to fool over time.qe_pattern_embeddings).All writes are appends to existing stores — never destructive to memory.db.
qe-court/probes namespace).QE-Court is an orchestration skill: the driving agent convenes the court by
composing existing agents/skills — there is no monolithic binary yet (a thin
aqe court CLI wrapper is planned as ADR-124 Phase 1; the hosted /v1/qe/verdict
is Phase 2). To run a court now:
Read config.json for the panel + routing + overturnDepth, then validate
the panel before seating it — this step is not optional:
import { validateCourtConfig } from 'agentic-qe/skills/qe-court/referee';
const violations = validateCourtConfig(config); // [] == valid
if (violations.length) throw new Error(`Cannot convene: ${violations.join(', ')}`);A non-empty result means the panel cannot render a trustworthy verdict (colluding jury, too few vendors, no jury at all). ABORT the court and tell the user which invariant failed — do not proceed with a degraded panel and do not silently re-route around it. A court that convenes an invalid panel produces exactly the false SHIP it exists to catch.
Spawn the prosecutors in one message, in parallel (Task/Agent,
run_in_background: true), each with its routed provider; run
codex exec review for the cross-vendor lens via Bash.
Collect charges → run the blind-refuter kill round (adversarial-verify).
Jury (two-gate judge) → verdict. If SHIP, run the overturn loop to overturnDepth.
Emit the signed court record; persist learning per the section above.
Present the strongest case FOR and AGAINST to the human judge.
Markdown: the delivery under review, the Defense case, each prosecutor's surviving charges (provenance-tiered, with the vendor that filed them), the kill-round casualties, the jury verdict, the overturn transcript, and the signed verdict block. Durable, attestable evidence — the "jury waiting for everything you ship."
Tier 3 (verified). The court's falsifiable invariants are enforced by the
published agentic-qe/skills/qe-court/referee entrypoint and covered by a
consumer-runnable aqe-court-referee self-test <oracle> suite that the acceptance eval
(evals/qe-court.yaml, command-eval mode) runs through the aqe eval CLI —
15/15 green as of 2026-07-29. That suite now validates the shipped config.json
itself, so a routing edit that seats a colluding panel fails in CI rather than in
a user's court (issue #576). The keystone oracle: a seeded mutant a shallow panel
rated SHIP is overturned to BLOCK when the overturn round is active, and MUST
regress to SHIP at overturnDepth: 0 — proving the mechanic carries its weight.
Run it yourself: aqe eval run --skill qe-court --model cognitum-low.
/v1/qe/verdict (Cognitum, planned)./brutal-honesty-review, /sherlock-review, qe-devils-advocate agent, codex exec review.src/verification/adversarial-verify. Signer: src/learning/qe-flywheel/receipt.ts./code-review, /pr-review (single-lens); qcsd-cicd-swarm (phase gate, not adversarial court).© proffesor-for-testing, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 8 other files (scripts) in assets/skills/qe-court of proffesor-for-testing/agentic-qe.
Open the folder on GitHubat commit 1363bc7
Qe Court 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 |
|---|---|---|---|---|---|---|
| Qe Court this skillproffesor-for-testing/agentic-qe | 495 | — | ~3.2k | Automated safety check: Pass | MIT | |
| Test Planningpetrkindlmann/qa-skills | 170 | — | ~4.2k | Automated safety check: Pass | MIT | |
| QA Metricspetrkindlmann/qa-skills | 170 | — | ~5.3k | Automated safety check: Pass | MIT | |
| Risk Based Testingpetrkindlmann/qa-skills | 170 | — | ~5.3k | Automated safety check: Pass | MIT | |
| Quality Engineering Zephyr Coverage AnalysisHoangNguyen0403/agent-skills-standard | 572 | — | ~589 | Automated safety check: Pass | MIT | |
| Test Casesagutinbaigo28/financial-agent-api | 128 | 1 repos | ~1.8k | Automated safety check: Pass | MIT |
petrkindlmann/qa-skills
Build a single sprint or release test plan. An agent skill from petrkindlmann/qa-skills.
petrkindlmann/qa-skills
Define, track, and act on QA metrics: test coverage percentage, flakiness rate, defect escape rate, MTTR, test execution time trends, automation ROI, quality gates, and SLAs for test suites.
petrkindlmann/qa-skills
Produce a risk matrix or heatmap that quantifies what could break by business impact × probability, runs failure mode analysis on the top items, and maps test coverage to risk zones.
HoangNguyen0403/agent-skills-standard
Audit test coverage health, gaps, and QE debt for Jira stories or epics.
agutinbaigo28/financial-agent-api
This skill should be used when generating comprehensive test cases from PRD documents or user requirements.
comet-ml/opik-mcp
Decide ship or hold for a candidate from the compare skill's numbers, against an explicit release policy — regressions, pass rate, safety-tagged cases, subgroup consistency, latency and cost…
proffesor-for-testing/agentic-qe
Consumer-driven contract testing for microservices using Pact, schema validation, API versioning, and backward compatibility testing.
proffesor-for-testing/agentic-qe
Test quality validation through mutation testing, assessing test suite effectiveness by introducing code mutations and measuring kill rate.
proffesor-for-testing/agentic-qe
Profiles application performance under load using k6, Artillery, or JMeter to measure latency, throughput, and error rates.
proffesor-for-testing/agentic-qe
Conduct context-driven code reviews focusing on quality, testability, and maintainability.
proffesor-for-testing/agentic-qe
Scans for security vulnerabilities including XSS, SQL injection, CSRF, and auth flaws using OWASP Top 10 methodology.
proffesor-for-testing/agentic-qe
Database schema validation, data integrity testing, migration testing, transaction isolation, and query performance.
Adversarial review court — a delivery (diff, PR, test suite, or artifact) is prosecuted by independent AI reviewers from different vendors, each with its own probe set, then a SHIP verdict must…. Qe Court is an agent skill from proffesor-for-testing/agentic-qe. Adversarial review court — a delivery (diff, PR, test suite, or artifact) is prosecuted by independent AI reviewers from different vendors, each with its own probe set, then a SHIP verdict must SURVIVE escalating deeper reviewers before it stands.
Qe Court fits situations like: you want more than one reviewers opinion on whether something is safe to ship: pre-merge gating; release go/no-go; catching a too-easy PASS; any is this actually done? decision where a shallow approval is a risk.
Run `npx skills add proffesor-for-testing/agentic-qe --skill qe-court -a claude-code`. Or copy the skill folder (assets/skills/qe-court in proffesor-for-testing/agentic-qe) into .claude/skills/qe-court in your project. Claude Code loads it when a task matches its description.
Run `npx skills add proffesor-for-testing/agentic-qe --skill qe-court -a codex`. Or copy the skill folder (assets/skills/qe-court in proffesor-for-testing/agentic-qe) into .agents/skills/qe-court in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add proffesor-for-testing/agentic-qe --skill qe-court -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/qe-court, .gemini/skills/qe-court, .github/skills/qe-court and .opencode/skills/qe-court in your project.
Going by SKILL.md and its folder, Qe Court needs TypeScript for the scripts in its folder and the command-line tools its instructions call (codex). Our summary lists: Node.js.
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.
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.
Qe Court is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.2k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Qe Court: Test Planning (petrkindlmann/qa-skills, 170 stars), QA Metrics (petrkindlmann/qa-skills, 170 stars), Risk Based Testing (petrkindlmann/qa-skills, 170 stars) and Quality Engineering Zephyr Coverage Analysis (HoangNguyen0403/agent-skills-standard, 572 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
proffesor-for-testing (a GitHub user) maintains it in proffesor-for-testing/agentic-qe, which has 495 GitHub stars. The repository holds 93 skills in this directory. The repository was last updated on October 9, 2026.
Source: proffesor-for-testing/agentic-qe on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.