Agent skill

Remote Work Monitoring

by mukul975 in mukul975/Privacy-Data-Protection-Skills

Establishes boundaries for monitoring remote and hybrid workers including screen capture, productivity tracking, camera and microphone activation, attendance verification, and activity logging.

Apache-2.0Auto-check passedLegal & Compliance

Install Remote Work Monitoring

skills CLI
$ npx skills add mukul975/Privacy-Data-Protection-Skills --skill remote-work-monitoring -a claude-code

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

GitHub CLI
$ gh skill install mukul975/Privacy-Data-Protection-Skills remote-work-monitoring --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/mukul975/Privacy-Data-Protection-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/privacy/remote-work-monitoring .claude/skills/remote-work-monitoring && 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
remote-work-monitoring
GitHub stars
301
Token cost
~4.7k tokens
SKILL.md length
2,246 words
Files
5 (incl. scripts, references, assets)
Skills in repo
280
Repo updated
First seen
Licence
Apache-2.0

At a glance

Establishes boundaries for monitoring remote and hybrid workers including screen capture, productivity tracking, camera and microphone activation, attendance verification, and activity logging.

  • Works in 5 steps: Necessity Assessment → DPIA → Transparency → …
  • Tasks that involve Privacy and GDPR
  • SKILL.md covers Overview, Legal Framework, Monitoring Technologies and… and The Output-Based Alternative, plus 4 more sections
  • Runs Python scripts from its folder

What it does

Remote Work Monitoring is an agent skill from mukul975/Privacy-Data-Protection-Skills. Establishes boundaries for monitoring remote and hybrid workers including screen capture, productivity tracking, camera and microphone activation, attendance verification, and activity logging. Applies proportionality principles, transparency requirements, and evaluates less intrusive alternatives per EDPB and national DPA guidance. Keywords: remote work, monitoring, screen capture, productivity tracking, webcam, home office, hybrid work, proportionality, surveillance.

Its SKILL.md is about 4.7k 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 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 Privacy and GDPR

Example prompts

  • “Use the remote-work-monitoring skill to establish boundaries for monitoring remote and hybrid workers including screen capture, productivity…”
  • “/remote-work-monitoring”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Necessity Assessment
  2. DPIA
  3. Transparency
  4. Works Council / Employee Representatives
  5. Safeguards

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

Remote Work Monitoring loads about 4.7k tokens when it runs, and up to ~6.9k if it reads all its reference files. Until then it costs about 124 tokens; SKILL.md has 2,246 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~124
When it runs · the whole SKILL.md, loaded when a task matches
~4.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.9k

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). 2,246 words, ~4,722 tokens.

Download SKILL.mdSave it as .claude/skills/remote-work-monitoring/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
remote-work-monitoring
description
Establishes boundaries for monitoring remote and hybrid workers including screen capture, productivity tracking, camera and microphone activation, attendance verification, and activity logging. Applies proportionality principles, transparency requirements, and evaluates less intrusive alternatives per EDPB and national DPA guidance. Keywords: remote work, monitoring, screen capture, productivity tracking, webcam, home office, hybrid work, proportionality, surveillance.
license
Apache-2.0
metadata.author
mukul975
metadata.version
1.0
metadata.domain
privacy
metadata.subdomain
employee-data-privacy
metadata.tags
remote-work, monitoring, screen-capture, productivity-tracking, webcam, home-office, proportionality

Remote Work Monitoring

Overview

The shift to remote and hybrid work accelerated by the COVID-19 pandemic created unprecedented employer demand for monitoring technologies designed to verify that employees working from home are productive and engaged. Software platforms offering screen capture, keystroke logging, webcam activation, mouse movement tracking, application usage monitoring, and AI-powered productivity scoring saw adoption rates increase dramatically from 2020 onwards. However, monitoring employees in their homes raises fundamentally different privacy concerns than monitoring in the workplace: the home is the employee's private domain, protected by Art. 8 ECHR and Art. 7 EU Charter of Fundamental Rights, and monitoring technologies that might be marginally acceptable in an office setting become highly intrusive when deployed in an employee's personal living space.

European supervisory authorities have responded with increasing scrutiny of remote monitoring tools. The EDPB, CNIL, ICO, and national DPAs have issued guidance establishing that the proportionality standard for home monitoring is significantly more demanding than for office monitoring, and that many commonly deployed remote monitoring technologies fail that standard.

Heightened Privacy Expectations at Home

Art. 8 ECHR: The right to respect for the home is explicitly protected. Monitoring technologies that capture the home environment (webcam activation, screen capture showing personal browser tabs, microphone recording ambient conversations) constitute interference with the right to respect for private life and the home.

Art. 7 EU Charter: The right to respect for private and family life, home, and communications applies directly in the GDPR context.

EDPB position: While the EDPB has not yet issued dedicated guidelines on remote work monitoring, its existing frameworks — Guidelines 3/2019 on video devices and WP29 Opinion 2/2017 on data processing at work — establish principles that apply with even greater force in the home context:

  • Employees retain privacy rights regardless of location (Opinion 2/2017, Section 5.3)
  • Monitoring in the home context must satisfy a higher proportionality threshold than workplace monitoring
  • The home setting means that monitoring may inadvertently capture data about family members (including children), who are not employees and whose data has no lawful basis for processing
National DPA Positions

CNIL (France):

  • Questions & Answers on teleworking (2020, updated 2022): Employers must not implement continuous monitoring of employees working from home. Screen capture, keystroke logging, and webcam surveillance are disproportionate for remote work monitoring.
  • Employers may use connection logs and output-based metrics but must not monitor mouse movements, screen activity, or ambient audio/video.
  • Employees must not be required to keep their webcam on continuously during working hours.

ICO (UK):

  • Employment Practices Code, Part 3 — Monitoring at Work: Monitoring must be proportionate. The ICO has stated that technologies deployed purely to check whether employees are at their desks are unlikely to be proportionate.
  • The ICO's guidance on remote monitoring emphasises that employers should focus on output rather than surveillance.

Garante (Italy):

  • Workers' Statute Art. 4 applies to remote monitoring: remote control equipment requires trade union agreement or labour inspectorate authorisation.
  • The Garante has issued decisions prohibiting continuous screen monitoring of remote workers.

BfDI (Germany):

  • Section 26 BDSG applies: remote monitoring is employee data processing requiring necessity and proportionality.
  • Works council co-determination under Section 87(1)(6) BetrVG applies to remote monitoring tools.
  • The Federal Labour Court has held that keylogger evidence is inadmissible if monitoring was disproportionate.

AEPD (Spain):

  • Guide on Data Protection in Labour Relations (2021): Remote work monitoring must comply with Art. 87-90 LOPDGDD on digital rights in employment.
  • Employers must inform remote workers of any monitoring tools before deployment.
  • The AEPD has fined employers for GPS-tracking remote workers during non-working hours.

Monitoring Technologies and Proportionality Assessment

Category 1: Screen Capture and Recording

Description: Software that takes periodic screenshots (every 1-15 minutes) or continuously records the employee's screen.

Proportionality assessment: Disproportionate in almost all cases

FactorAssessment
IntrusivenessVery High — captures personal browser tabs, private messages, health information, financial data
Home contextCaptures personal content displayed on screen during brief personal use (checking personal email, banking)
Family member riskIf the device is shared or the screen is visible to family members, their data may be captured
Less intrusive alternativesApplication usage logging (which apps are active), output-based metrics, task completion tracking
Supervisory authority positionCNIL, Garante, and ICO have all stated that screen capture is disproportionate for remote work

Verdict: Screen capture should not be deployed for general remote work monitoring. It may be justified only in narrow, time-limited circumstances for investigating specific, documented suspected misconduct.

Category 2: Webcam Monitoring

Description: Requiring employees to keep their webcam on during working hours, periodic "check-in" photos, or AI-powered presence detection.

Proportionality assessment: Disproportionate

FactorAssessment
IntrusivenessVery High — captures the employee's home environment, personal appearance, family members, living conditions
Special category dataMay reveal health conditions, religious items, disability, family composition
Home contextThe home is the employee's private domain; requiring camera access is equivalent to allowing the employer to look into the employee's home
Family member dataChildren, partners, and visitors may be captured without consent or lawful basis
Less intrusive alternativesLogin/logout times, active status indicators, scheduled check-in meetings

Enforcement: The Dutch court in Chetu Inc v Employee (Tilburg District Court, 2022) ruled that an employee was wrongfully dismissed for refusing to keep their webcam on during working hours. The court found that requiring continuous webcam monitoring was a disproportionate invasion of privacy and the employee's refusal was justified.

Category 3: Keystroke Logging

Description: Software that records individual keystrokes typed by the employee.

Proportionality assessment: Disproportionate — prohibited for remote work

FactorAssessment
IntrusivenessMaximum — captures everything typed, including personal passwords, private messages, medical searches, banking details
Home contextOn a personal device or during personal time, captures entirely private activity
Less intrusive alternativesApplication usage monitoring, output metrics, supervised deadline tracking
Supervisory authority positionCNIL has explicitly prohibited keystroke logging for general monitoring; German Federal Labour Court has ruled keylogger evidence inadmissible
Category 4: Mouse Movement and Activity Tracking

Description: Software that tracks mouse movements, clicks, scrolling, and keyboard activity to generate "activity scores" or "active time" metrics.

Proportionality assessment: Generally disproportionate

FactorAssessment
IntrusivenessMedium-High — does not capture content but creates a continuous surveillance record
AccuracyPoor correlation between mouse activity and actual productivity (thinking, reading documents, phone calls, video meetings do not involve mouse movement)
Employee impactCreates anxiety and behavioural modification; employees may use "mouse jiggler" tools, indicating the metric drives evasion rather than productivity
Less intrusive alternativesTask completion metrics, project management tools, regular manager check-ins
Category 5: Application Usage Monitoring

Description: Tracking which applications are active and for how long (e.g., 3 hours in Excel, 2 hours in email, 1 hour in browser).

Proportionality assessment: May be proportionate with appropriate safeguards

FactorAssessment
IntrusivenessLow-Medium — captures application names and duration, not content
UtilityProvides meaningful data about work patterns without capturing personal content
Limitations requiredMust be limited to corporate applications; must not log personal application usage on personal devices
TransparencyEmployees must be informed that application usage is logged

Conditions for deployment: Application monitoring is one of the less intrusive remote monitoring tools and may be justified if:

  • Limited to corporate-managed applications (not personal apps on BYOD)
  • Aggregate reporting (team-level) preferred over individual reporting
  • Not used as the sole basis for performance evaluation or disciplinary action
  • Employees are informed before deployment
Category 6: AI-Powered Productivity Scoring

Description: Platforms that aggregate data from multiple sources (email, calendar, messaging, file editing, meeting participation) to generate individual "productivity scores" or "engagement scores."

Proportionality assessment: Disproportionate for individual-level scoring

FactorAssessment
IntrusivenessHigh — aggregated surveillance creates a comprehensive behavioural profile
AccuracyAlgorithms may not capture the complexity of knowledge work; rewards visible activity over deep work
Discrimination riskScoring algorithms may disadvantage employees with disabilities, caring responsibilities, or different work patterns
Art. 22 riskIf scores influence employment decisions, Art. 22 automated decision-making restrictions apply
Less intrusive alternativesRegular 1:1 meetings, objective-based performance management, peer feedback

Microsoft Viva Insights (formerly Workplace Analytics): Microsoft explicitly states that Viva Insights should not be used for surveillance. Individual data is visible only to the individual employee; managers see only aggregate team-level data. Using administrative access to view individual productivity data may violate both Microsoft's terms and GDPR proportionality requirements.

Show full SKILL.md (895 more words)Show less
Category 7: Login/Logout and VPN Connection Logging

Description: Recording when employees log into corporate systems, connect to VPN, and log out.

Proportionality assessment: Generally proportionate

FactorAssessment
IntrusivenessLow — records connection times only, not activity
UtilityConfirms working hours for contractual and regulatory compliance (Working Time Directive)
Less intrusive alternativesFew alternatives are less intrusive; self-reporting is the only less intrusive option
TransparencyEmployees should be informed that login times are recorded

This is the least intrusive form of remote monitoring and is generally acceptable provided employees are informed and the data is used only for working time management, not for micro-management.

The Output-Based Alternative

The recommended approach to remote work management is output-based rather than surveillance-based:

Output-based management framework:

ElementImplementation
Clear objectivesDocumented, measurable objectives agreed between manager and employee
Regular check-insScheduled 1:1 meetings (daily, weekly) for progress updates
Task management toolsProject management platforms (Jira, Asana, Monday.com, Trello) for visibility into task progress
Delivery milestonesRegular deliverables with agreed deadlines
Team communicationDaily stand-ups, team channels, asynchronous updates
Trust-based cultureManagement training on leading remote teams without surveillance

Supervisory authority endorsement: Both the ICO and CNIL have explicitly recommended output-based management as the proportionate alternative to remote monitoring tools.

Implementation Requirements

Step 1: Necessity Assessment

Before deploying any remote monitoring tool, the employer must document:

  1. What specific, legitimate objective does the monitoring serve? (A vague desire to "ensure productivity" is insufficient.)
  2. Can the objective be achieved through less intrusive means (output-based management, regular check-ins)?
  3. Is the monitoring proportionate to the objective, considering the home context?
Step 2: DPIA

All remote monitoring systems require a DPIA because they involve:

  • Systematic monitoring (WP248 criterion 3)
  • Vulnerable data subjects (employees — WP248 criterion 7)
  • Innovative technology (WP248 criterion 8, for AI-powered tools)
  • Evaluation/scoring (WP248 criterion 1, for productivity scoring)
Step 3: Transparency

Before activating any monitoring:

  • Update the privacy notice to describe the specific monitoring tools, what data is collected, and what is not collected
  • Update the acceptable use policy
  • Provide individual notification to each affected employee
  • Allow a reasonable period (at least 2 weeks) between notification and activation
Step 4: Works Council / Employee Representatives

In jurisdictions with co-determination rights:

  • Germany: Works council co-determination under Section 87(1)(6) BetrVG is mandatory
  • France: CSE (Comité social et économique) consultation is required
  • Netherlands: Works council consent under Art. 27(1)(l) WOR is required
  • Italy: Trade union agreement or labour inspectorate authorisation under Workers' Statute Art. 4
Step 5: Safeguards
  • Monitoring must be limited to working hours (no tracking outside agreed working time)
  • Monitoring must be limited to corporate applications and data (no access to personal data, personal browsing, or personal communications)
  • Data must be retained for the minimum period necessary (typically 30-90 days for working time logs)
  • Access to monitoring data must be restricted to authorised persons (HR, not line managers)
  • Employees must have the right to access their own monitoring data and challenge decisions based on it

Atlas Manufacturing Group Example

When Atlas transitioned 400 office-based employees to hybrid working (3 days office, 2 days home), the HR Director proposed deploying Time Doctor for screen capture and activity tracking. The DPO conducted a proportionality assessment and rejected the proposal:

DPO Assessment:

  1. Screen capture in the home environment is disproportionate — captures personal living space and potentially family members
  2. Activity tracking (mouse movement scoring) has poor correlation with actual productivity and creates a surveillance culture
  3. The legitimate objective (ensuring remote workers are productive) can be achieved through less intrusive means

Approved alternative:

  1. VPN connection logging to confirm working hours (proportionate, low intrusiveness)
  2. Microsoft Teams active/away status visible to managers (existing functionality, minimal additional intrusion)
  3. Output-based management: weekly task objectives set in Asana, reviewed in Friday team meetings
  4. Monthly 1:1 meetings between each employee and their manager to discuss workload and productivity
  5. Atlas did not deploy any screen capture, keystroke logging, webcam monitoring, or productivity scoring tools

Result: After 18 months of hybrid working, Atlas's employee engagement survey showed higher satisfaction and lower attrition in hybrid roles compared to office-only roles. Productivity measured by output metrics (units produced, projects completed, customer response times) remained consistent with pre-pandemic levels.

Enforcement Precedents

AuthorityCaseFine/OutcomeKey Issue
Dutch Court (Tilburg)Chetu Inc v Employee, 2022Wrongful dismissal; EUR 75,000 compensationEmployee dismissed for refusing to keep webcam on; court ruled disproportionate surveillance
CNIL (France)SAN-2022-021EUR 32,000Employer deployed screen capture software on remote workers without DPIA or transparency
Garante (Italy)Provvedimento 2023-0089Processing prohibitedContinuous screen monitoring of remote workers via corporate laptop; disproportionate
AEPD (Spain)PS/00089/2022EUR 120,000Employer tracked remote workers' location via GPS outside working hours
BfDI (Germany)Federal Labour Court, 2023Evidence excludedKeystroke logging evidence from home-working employee excluded as disproportionate monitoring
ICO (UK)Advisory, 2023GuidanceICO warned that employers deploying productivity-tracking software to remote workers without necessity assessment may face enforcement

Integration Points

  • Employee Monitoring DPIA: Remote monitoring requires a DPIA with heightened proportionality assessment (see employee-monitoring-dpia skill).
  • Employment Consent Limits: Consent is not valid for remote monitoring (see employment-consent-limits skill).
  • BYOD Privacy Policy: Remote work on personal devices requires BYOD privacy compliance (see byod-privacy-policy skill).
  • Workplace Email Privacy: Email monitoring of remote workers follows the same Barbulescu framework with additional home-context considerations (see workplace-email-privacy skill).
  • HR System Privacy Config: Remote monitoring tool integration with HR systems must respect data separation (see hr-system-privacy-config skill).

© 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/remote-work-monitoring 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

Remote Work Monitoring 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.

Remote Work Monitoring compared with similar skills
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Remote Work Monitoring this skillmukul975/Privacy-Data-Protection-Skills301—~4.7kAutomated safety check: PassApache-2.0
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Korean Privacy Termskimlawtech/korean-privacy-terms587—~2.9kAutomated safety check: PassApache-2.0
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Hipaa ComplianceSushegaad/Claude-Skills-Governance-Risk-and-Compliance9461 repos~2.3kAutomated safety check: PassMIT

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Questions about Remote Work Monitoring

What does Remote Work Monitoring do?

Establishes boundaries for monitoring remote and hybrid workers including screen capture, productivity tracking, camera and microphone activation, attendance verification, and activity logging. Remote Work Monitoring is an agent skill from mukul975/Privacy-Data-Protection-Skills. Establishes boundaries for monitoring remote and hybrid workers including screen capture, productivity tracking, camera and microphone activation, attendance verification, and activity logging.

When should I use Remote Work Monitoring?

Remote Work Monitoring fits situations like: tasks that involve Privacy and GDPR.

How do I install Remote Work Monitoring in Claude Code?

Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill remote-work-monitoring -a claude-code`. Or copy the skill folder (skills/privacy/remote-work-monitoring in mukul975/Privacy-Data-Protection-Skills) into .claude/skills/remote-work-monitoring in your project. Claude Code loads it when a task matches its description.

How do I install Remote Work Monitoring in Codex?

Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill remote-work-monitoring -a codex`. Or copy the skill folder (skills/privacy/remote-work-monitoring in mukul975/Privacy-Data-Protection-Skills) into .agents/skills/remote-work-monitoring in your project. Codex loads it when a task matches its description.

Can I use Remote Work Monitoring 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 remote-work-monitoring -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/remote-work-monitoring, .gemini/skills/remote-work-monitoring, .github/skills/remote-work-monitoring and .opencode/skills/remote-work-monitoring in your project.

What does Remote Work Monitoring need to run?

Going by SKILL.md and its folder, Remote Work Monitoring needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Remote Work Monitoring 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 Remote Work Monitoring 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 Remote Work Monitoring use?

Remote Work Monitoring 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 Remote Work Monitoring use?

About 4.7k tokens (SKILL.md is roughly 19k 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 2.2k tokens, read only when the agent opens those files.

What are the alternatives to Remote Work Monitoring?

Skills that share tags, products or a category with Remote Work Monitoring: C15t (c15t/c15t, 1.9k stars), HIPAA Safe Harbor Coverage Audit (maziyarpanahi/openmed, 5.5k stars), Korean Privacy Terms (kimlawtech/korean-privacy-terms, 587 stars) and Gdpr Compliance (Sushegaad/Claude-Skills-Governance-Risk-and-Compliance, 946 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Remote Work Monitoring?

mukul975 (a GitHub user) maintains it in mukul975/Privacy-Data-Protection-Skills, which has 301 GitHub stars. The repository holds 280 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.