X Ray
pashov/skills
Generates an x-ray.md pre-audit report covering overview, enhanced threat model (protocol-type profiling, git-weighted attack surfaces, temporal risk analysis, composability dependency mapping)…
Agent skill
Hardens Windows endpoints using CIS (Center for Internet Security) Benchmark recommendations to reduce attack surface, enforce security baselines, and meet compliance requirements.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill hardening-windows-endpoint-with-cis-benchmark -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills hardening-windows-endpoint-with-cis-benchmark --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/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/hardening-windows-endpoint-with-cis-benchmark .claude/skills/hardening-windows-endpoint-with-cis-benchmark && 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 "hardening-windows-endpoint-with-cis-benchmark" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/hardening-windows-endpoint-with-cis-benchmark into .claude/skills/hardening-windows-endpoint-with-cis-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hardening-windows-endpoint-with-cis-benchmark", 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/Anthropic-Cybersecurity-Skills/tree/main/skills/hardening-windows-endpoint-with-cis-benchmarkType 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/Anthropic-Cybersecurity-Skills --skill hardening-windows-endpoint-with-cis-benchmark -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills hardening-windows-endpoint-with-cis-benchmark --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/hardening-windows-endpoint-with-cis-benchmark .agents/skills/hardening-windows-endpoint-with-cis-benchmark && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "hardening-windows-endpoint-with-cis-benchmark" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/hardening-windows-endpoint-with-cis-benchmark into .agents/skills/hardening-windows-endpoint-with-cis-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hardening-windows-endpoint-with-cis-benchmark", 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/Anthropic-Cybersecurity-Skills --skill hardening-windows-endpoint-with-cis-benchmark -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills hardening-windows-endpoint-with-cis-benchmark --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/hardening-windows-endpoint-with-cis-benchmark .cursor/skills/hardening-windows-endpoint-with-cis-benchmark && 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 "hardening-windows-endpoint-with-cis-benchmark" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/hardening-windows-endpoint-with-cis-benchmark into .cursor/skills/hardening-windows-endpoint-with-cis-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hardening-windows-endpoint-with-cis-benchmark", 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/Anthropic-Cybersecurity-Skills.git --path skills/hardening-windows-endpoint-with-cis-benchmark--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/Anthropic-Cybersecurity-Skills --skill hardening-windows-endpoint-with-cis-benchmark -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills hardening-windows-endpoint-with-cis-benchmark --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/hardening-windows-endpoint-with-cis-benchmark .gemini/skills/hardening-windows-endpoint-with-cis-benchmark && 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 "hardening-windows-endpoint-with-cis-benchmark" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/hardening-windows-endpoint-with-cis-benchmark into .gemini/skills/hardening-windows-endpoint-with-cis-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hardening-windows-endpoint-with-cis-benchmark", 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/Anthropic-Cybersecurity-Skills hardening-windows-endpoint-with-cis-benchmarkInstalls 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/Anthropic-Cybersecurity-Skills --skill hardening-windows-endpoint-with-cis-benchmark -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/hardening-windows-endpoint-with-cis-benchmark .github/skills/hardening-windows-endpoint-with-cis-benchmark && 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 "hardening-windows-endpoint-with-cis-benchmark" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/hardening-windows-endpoint-with-cis-benchmark into .github/skills/hardening-windows-endpoint-with-cis-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hardening-windows-endpoint-with-cis-benchmark", 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/Anthropic-Cybersecurity-Skills --skill hardening-windows-endpoint-with-cis-benchmark -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/Anthropic-Cybersecurity-Skills hardening-windows-endpoint-with-cis-benchmark --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/hardening-windows-endpoint-with-cis-benchmark .opencode/skills/hardening-windows-endpoint-with-cis-benchmark && 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 "hardening-windows-endpoint-with-cis-benchmark" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/hardening-windows-endpoint-with-cis-benchmark into .opencode/skills/hardening-windows-endpoint-with-cis-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hardening-windows-endpoint-with-cis-benchmark", 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.
hardening-windows-endpoint-with-cis-benchmarkHardens Windows endpoints using CIS (Center for Internet Security) Benchmark recommendations to reduce attack surface, enforce security baselines, and meet compliance requirements.
Hardening Windows Endpoint With Cis Benchmark is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Hardens Windows endpoints using CIS (Center for Internet Security) Benchmark recommendations to reduce attack surface, enforce security baselines, and meet compliance requirements. Use when deploying new Windows workstations or servers, remediating audit findings, or establishing organization-wide security baselines. Activates for requests involving Windows hardening, CIS benchmarks, GPO security baselines, or endpoint configuration compliance.
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts, reference files and assets (for example `assets/template.md`, `references/api-reference.md` and `references/standards.md`).
It sits in Security, covering Threat modeling and Audit readiness. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 54a7988. 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 2 files in scripts/ (Python), which the agent can run.
From 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.
Hardening Windows Endpoint With Cis Benchmark loads about 2.2k tokens when it runs, and up to ~4.4k if it reads all its reference files. Until then it costs about 124 tokens; SKILL.md has 611 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 mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 611 words, ~2,222 tokens.
.claude/skills/hardening-windows-endpoint-with-cis-benchmark/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.Use this skill when:
Do not use this skill for Linux endpoints (use hardening-linux-endpoint-with-cis-benchmark) or for cloud-native workloads that require CIS cloud benchmarks.
CIS provides two profile levels for Windows endpoints:
Level 1 (L1) - Corporate/Enterprise Environment:
Level 2 (L2) - High Security/Sensitive Data:
Select profile based on data classification and risk tolerance of the endpoint.
CIS provides pre-built GPO templates (Build Kits) for each benchmark version:
# Download CIS Build Kit from CIS WorkBench (requires CIS SecureSuite membership)
# Extract the GPO backup to a staging directory
# Import the CIS GPO into Active Directory
Import-GPO -BackupGpoName "CIS Microsoft Windows 11 Enterprise v3.0.0 L1" `
-TargetName "CIS-Win11-L1-Baseline" `
-Path "C:\CIS-GPO-Backups\Win11-Enterprise" `
-CreateIfNeeded
# Link GPO to target OU
New-GPLink -Name "CIS-Win11-L1-Baseline" `
-Target "OU=Workstations,DC=corp,DC=example,DC=com" `
-LinkEnabled YesAccount Policies (Section 1):
Password Policy:
- Minimum password length: 14 characters (1.1.4)
- Maximum password age: 365 days (1.1.3)
- Password complexity: Enabled (1.1.5)
- Store passwords using reversible encryption: Disabled (1.1.6)
Account Lockout Policy:
- Account lockout threshold: 5 invalid logon attempts (1.2.1)
- Account lockout duration: 15 minutes (1.2.2)
- Reset account lockout counter after: 15 minutes (1.2.3)Local Policies - Audit Policy (Section 17):
Audit Policy Configuration:
- Audit Credential Validation: Success and Failure (17.1.1)
- Audit Security Group Management: Success (17.2.5)
- Audit Logon: Success and Failure (17.5.1)
- Audit Process Creation: Success (17.6.1)
- Audit Removable Storage: Success and Failure (17.6.4)Security Options (Section 2.3):
- Interactive logon: Do not display last user name: Enabled (2.3.7.1)
- Interactive logon: Machine inactivity limit: 900 seconds (2.3.7.3)
- Network access: Do not allow anonymous enumeration of SAM accounts: Enabled (2.3.10.2)
- Network security: LAN Manager authentication level: Send NTLMv2 response only (2.3.11.7)
- UAC: Run all administrators in Admin Approval Mode: Enabled (2.3.17.6)Windows Firewall (Section 9):
- Domain Profile: Firewall state: On (9.1.1)
- Domain Profile: Inbound connections: Block (9.1.2)
- Private Profile: Firewall state: On (9.2.1)
- Public Profile: Firewall state: On (9.3.1)
- Public Profile: Inbound connections: Block (9.3.2)# Run CIS-CAT Pro Assessor against target endpoint
# CIS-CAT produces an HTML/XML report with pass/fail per recommendation
.\Assessor-CLI.bat `
-b "benchmarks\CIS_Microsoft_Windows_11_Enterprise_Benchmark_v3.0.0-xccdf.xml" `
-p "Level 1 (L1) - Corporate/Enterprise Environment" `
-rd "C:\CIS-Reports" `
-nts
# Review report for failed controls
# Score target: 95%+ for L1, 90%+ for L2 (due to operational exceptions)For each CIS recommendation that cannot be applied:
Example exception:
Recommendation: 2.3.7.3 - Interactive logon: Machine inactivity limit: 900 seconds
Exception: Kiosk systems in manufacturing floor require 1800 seconds
Compensating Control: Physical badge-access to manufacturing area, CCTV monitoring
Review Date: 2026-06-01
Approved By: CISOConfigure recurring CIS-CAT scans via scheduled tasks or SCCM:
# Create scheduled task for weekly CIS-CAT assessment
$action = New-ScheduledTaskAction -Execute "C:\CIS-CAT\Assessor-CLI.bat" `
-Argument "-b benchmarks\CIS_Win11_v3.0.0-xccdf.xml -p Level1 -rd C:\CIS-Reports -nts"
$trigger = New-ScheduledTaskTrigger -Weekly -DaysOfWeek Sunday -At 2am
$principal = New-ScheduledTaskPrincipal -UserId "SYSTEM" -RunLevel Highest
Register-ScheduledTask -TaskName "CIS-Benchmark-Scan" -Action $action `
-Trigger $trigger -Principal $principalFeed results into SIEM for drift detection and dashboard reporting.
| Term | Definition |
|---|---|
| CIS Benchmark | Consensus-based security configuration guide developed by CIS with input from government, industry, and academia |
| Level 1 Profile | Practical security baseline suitable for most organizations with minimal operational impact |
| Level 2 Profile | Extended security baseline for high-security environments that may reduce functionality |
| CIS-CAT | CIS Configuration Assessment Tool that automates benchmark compliance checking |
| Build Kit | Pre-configured GPO templates provided by CIS that implement benchmark recommendations |
| Scoring | CIS recommendations are either Scored (compliance-measurable) or Not Scored (best-practice guidance) |
© 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
SKILL.md and 7 other files (scripts, references, assets) in skills/hardening-windows-endpoint-with-cis-benchmark of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
Hardening Windows Endpoint With Cis Benchmark 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 |
|---|---|---|---|---|---|---|
| Hardening Windows Endpoint With Cis Benchmark this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| X Raypashov/skills | 1.2k | 1 repos | ~10k | Automated safety check: Pass | MIT | |
| Xray Pre Auditccashwell/evm-cortex | 131 | — | ~25k | Automated safety check: Pass | MIT | |
| Hack23 Isms ComplianceHack23/cia | 239 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Isms Audit Expertdavila7/claude-code-templates | 33k | 1 repos | ~3.1k | Automated safety check: Pass | MIT | |
| Fp Checkvibeeval/vibecosystem | 532 | — | ~1.6k | Automated safety check: Pass | MIT |
pashov/skills
Generates an x-ray.md pre-audit report covering overview, enhanced threat model (protocol-type profiling, git-weighted attack surfaces, temporal risk analysis, composability dependency mapping)…
ccashwell/evm-cortex
A skill your agent uses when preparing for a security audit, performing reconnaissance on a new codebase, or creating a protocol overview.
Hack23/cia
Hack23 ISMS organization-wide compliance requirements, policy enforcement, audit preparation
davila7/claude-code-templates
Senior ISMS Audit Expert for internal and external information security management system auditing.
vibeeval/vibecosystem
Systematic false positive verification for security findings.
telagod/code-abyss
安全架构与治理:威胁建模 (STRIDE/PASTA/LINDDUN)、零信任身份架构、IAM/SSO/MFA/PAM、合规框架 (SOC2/PCI/HIPAA/GDPR)、DLP、隐私工程、安全控制设计。Use when designing security architecture, threat modeling new systems, implementing zero-trust…
mukul975/Anthropic-Cybersecurity-Skills
Weighs infrastructure, TTP, malware code and timing evidence with the Diamond Model and competing hypotheses to reach a confidence-rated attribution.
mukul975/Anthropic-Cybersecurity-Skills
Walks through reverse engineering Go-compiled malware in Ghidra: parsing buildinfo and pclntab, recovering stripped function names and extracting dependencies.
mukul975/Anthropic-Cybersecurity-Skills
Guides forensic analysis of Windows LNK shortcut files and Jump Lists with LECmd, JLECmd and manual parsing to show file access and program execution.
mukul975/Anthropic-Cybersecurity-Skills
Hunts Windows malware persistence with Sysinternals Autoruns, covering run keys, services, scheduled tasks and drivers, with baseline comparison.
mukul975/Anthropic-Cybersecurity-Skills
Guides a Windows forensic examination of the NTFS Master File Table to recover deleted-file evidence, build timelines and spot timestomping.
mukul975/Anthropic-Cybersecurity-Skills
Detects DNS tunneling, ICMP exfiltration and HTTP-based covert channels in packet captures and DNS logs when hunting for hidden command-and-control traffic.
Categories
Hardens Windows endpoints using CIS (Center for Internet Security) Benchmark recommendations to reduce attack surface, enforce security baselines, and meet compliance requirements. Hardening Windows Endpoint With Cis Benchmark is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Hardens Windows endpoints using CIS (Center for Internet Security) Benchmark recommendations to reduce attack surface, enforce security baselines, and meet compliance requirements.
Hardening Windows Endpoint With Cis Benchmark fits situations like: deploying new Windows workstations; remediating audit findings; establishing organization-wide security baselines.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill hardening-windows-endpoint-with-cis-benchmark -a claude-code`. Or copy the skill folder (skills/hardening-windows-endpoint-with-cis-benchmark in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/hardening-windows-endpoint-with-cis-benchmark in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill hardening-windows-endpoint-with-cis-benchmark -a codex`. Or copy the skill folder (skills/hardening-windows-endpoint-with-cis-benchmark in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/hardening-windows-endpoint-with-cis-benchmark 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 mukul975/Anthropic-Cybersecurity-Skills --skill hardening-windows-endpoint-with-cis-benchmark -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hardening-windows-endpoint-with-cis-benchmark, .gemini/skills/hardening-windows-endpoint-with-cis-benchmark, .github/skills/hardening-windows-endpoint-with-cis-benchmark and .opencode/skills/hardening-windows-endpoint-with-cis-benchmark in your project.
Going by SKILL.md and its folder, Hardening Windows Endpoint With Cis Benchmark needs Python for the scripts in its folder. Our summary lists: Python 3.
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.
Hardening Windows Endpoint With Cis Benchmark 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.
About 2.2k tokens (SKILL.md is roughly 8.9k 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.
Skills that share tags, products or a category with Hardening Windows Endpoint With Cis Benchmark: X Ray (pashov/skills, 1.2k stars), Xray Pre Audit (ccashwell/evm-cortex, 131 stars), Hack23 Isms Compliance (Hack23/cia, 239 stars) and Isms Audit Expert (davila7/claude-code-templates, 33k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 34,116 GitHub stars. The repository holds 644 skills in this directory. The repository was last updated on August 31, 2026.
Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.