MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Skill converted from mcp-deploy-manage-agents.prompt.md. An agent skill from github/awesome-copilot.
$ npx skills add github/awesome-copilot --skill mcp-deploy-manage-agents -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install github/awesome-copilot mcp-deploy-manage-agents --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/github/awesome-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/mcp-deploy-manage-agents .claude/skills/mcp-deploy-manage-agents && 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 "mcp-deploy-manage-agents" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/mcp-deploy-manage-agents into .claude/skills/mcp-deploy-manage-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mcp-deploy-manage-agents", 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/github/awesome-copilot/tree/main/skills/mcp-deploy-manage-agentsType 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 github/awesome-copilot --skill mcp-deploy-manage-agents -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install github/awesome-copilot mcp-deploy-manage-agents --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/mcp-deploy-manage-agents .agents/skills/mcp-deploy-manage-agents && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mcp-deploy-manage-agents" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/mcp-deploy-manage-agents into .agents/skills/mcp-deploy-manage-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mcp-deploy-manage-agents", 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 github/awesome-copilot --skill mcp-deploy-manage-agents -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install github/awesome-copilot mcp-deploy-manage-agents --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/mcp-deploy-manage-agents .cursor/skills/mcp-deploy-manage-agents && 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 "mcp-deploy-manage-agents" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/mcp-deploy-manage-agents into .cursor/skills/mcp-deploy-manage-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mcp-deploy-manage-agents", 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/github/awesome-copilot.git --path skills/mcp-deploy-manage-agents--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 github/awesome-copilot --skill mcp-deploy-manage-agents -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install github/awesome-copilot mcp-deploy-manage-agents --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/mcp-deploy-manage-agents .gemini/skills/mcp-deploy-manage-agents && 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 "mcp-deploy-manage-agents" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/mcp-deploy-manage-agents into .gemini/skills/mcp-deploy-manage-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mcp-deploy-manage-agents", 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 github/awesome-copilot mcp-deploy-manage-agentsInstalls 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 github/awesome-copilot --skill mcp-deploy-manage-agents -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/mcp-deploy-manage-agents .github/skills/mcp-deploy-manage-agents && 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 "mcp-deploy-manage-agents" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/mcp-deploy-manage-agents into .github/skills/mcp-deploy-manage-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mcp-deploy-manage-agents", 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 github/awesome-copilot --skill mcp-deploy-manage-agents -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install github/awesome-copilot mcp-deploy-manage-agents --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/mcp-deploy-manage-agents .opencode/skills/mcp-deploy-manage-agents && 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 "mcp-deploy-manage-agents" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/mcp-deploy-manage-agents into .opencode/skills/mcp-deploy-manage-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mcp-deploy-manage-agents", 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.
mcp-deploy-manage-agentsSkill converted from mcp-deploy-manage-agents.prompt.md. An agent skill from github/awesome-copilot.
MCP Deploy Manage Agents is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Skill converted from mcp-deploy-manage-agents.prompt.md
Its SKILL.md is about 2.5k 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 Agent Workflows, covering MCP servers. It works with Model Context Protocol. The repository describes itself as: Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. The licence is MIT.
Read from SKILL.md and the folder at commit 727ff2e. 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are prompt).
From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
admin.microsoft.comlearn.microsoft.comadmin.powerplatform.microsoft.compartner.microsoft.comFrom 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.
MCP Deploy Manage Agents loads about 2.5k tokens when it runs. Until then it costs about 20 tokens.
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); files beside SKILL.md are not scanned.
The full file from github/awesome-copilot at commit 727ff2e, republished under its MIT licence (© github). ~2,471 tokens.
.claude/skills/mcp-deploy-manage-agents/SKILL.md (or your agent's skills folder).---
mode: 'agent'
tools: ['changes', 'search/codebase', 'edit/editFiles', 'problems']
description: 'Deploy and manage MCP-based declarative agents in Microsoft 365 admin center with governance, assignments, and organizational distribution'
model: 'gpt-4.1'
tags: [mcp, m365-copilot, deployment, admin, agent-management, governance]
---
# Deploy and Manage MCP-Based Agents
Deploy, manage, and govern MCP-based declarative agents in Microsoft 365 using the admin center for organizational distribution and control.
## Agent Types
### Published by Organization
- Built with predefined instructions and actions
- Follow structured logic for predictable tasks
- Require admin approval and publishing process
- Support compliance and governance requirements
### Shared by Creator
- Created in Microsoft 365 Copilot Studio or Agent Builder
- Shared directly with specific users
- Enhanced functionality with search, actions, connectors, APIs
- Visible to admins in agent registry
### Microsoft Agents
- Developed and maintained by Microsoft
- Integrated with Microsoft 365 services
- Pre-approved and ready to use
### External Partner Agents
- Created by verified external developers/vendors
- Subject to admin approval and control
- Configurable availability and permissions
### Frontier Agents
- Experimental or advanced capabilities
- May require limited rollout or additional oversight
- Examples:
- **App Builder agent**: Managed via M365 Copilot or Power Platform admin center
- **Workflows agent**: Flow automation managed via Power Platform admin center
## Admin Roles and Permissions
### Required Roles
- **AI Admin**: Full agent management capabilities
- **Global Reader**: View-only access (no editing)
### Best Practices
- Use roles with fewest permissions
- Limit Global Administrator to emergency scenarios
- Follow principle of least privilege
## Agent Management in Microsoft 365 Admin Center
### Access Agent Management
1. Go to [Microsoft 365 admin center](https://admin.microsoft.com/)
2. Navigate to **Agents** page
3. View available, deployed, or blocked agents
### Available Actions
**View Agents**
- Filter by availability (available, deployed, blocked)
- Search for specific agents
- View agent details (name, creator, date, host products, status)
**Deploy Agents**
Options for distribution:
1. **Agent Store**: Submit to Partner Center for validation and public availability
2. **Organization Deployment**: IT admin deploys to all or selected employees
**Manage Agent Lifecycle**
- **Publish**: Make agent available to organization
- **Deploy**: Assign to specific users or groups
- **Block**: Prevent agent from being used
- **Remove**: Delete agent from organization
**Configure Access**
- Set availability for specific user groups
- Manage permissions per agent
- Control which agents appear in Copilot
## Deployment Workflows
### Publish to Organization
**For Agent Developers:**
1. Build agent with Microsoft 365 Agents Toolkit
2. Test thoroughly in development
3. Submit agent for approval
4. Wait for admin review
**For Admins:**
1. Review submitted agent in admin center
2. Validate compliance and security
3. Approve for organizational use
4. Configure deployment settings
5. Publish to selected users or organization-wide
### Deploy via Agent Store
**Developer Steps:**
1. Complete agent development and testing
2. Package agent for submission
3. Submit to Partner Center
4. Await validation process
5. Receive approval notification
6. Agent appears in Copilot store
**Admin Steps:**
1. Discover agents in Copilot store
2. Review agent details and permissions
3. Assign to organization or user groups
4. Monitor usage and feedback
### Deploy Organizational Agent
**Admin Deployment Options:**
```
Organization-wide:
- All employees with Copilot license
- Automatically available in Copilot
Group-based:
- Specific departments or teams
- Security group assignments
- Role-based access control
```
**Configuration Steps:**
1. Navigate to Agents page in admin center
2. Select agent to deploy
3. Choose deployment scope:
- All users
- Specific security groups
- Individual users
4. Set availability status
5. Configure permissions if applicable
6. Deploy and monitor
## User Experience
### Agent Discovery
Users find agents in:
- Microsoft 365 Copilot hub
- Agent picker in Copilot interface
- Organization's agent catalog
### Agent Access Control
Users can:
- Toggle agents on/off during interactions
- Add/remove agents from their experience
- Right-click agents to manage preferences
- Only access admin-allowed agents
### Agent Usage
- Agents appear in Copilot sidebar
- Users select agent for context
- Queries routed through selected agent
- Responses leverage agent's capabilities
## Governance and Compliance
### Security Considerations
- **Data access**: Review what data agent can access
- **API permissions**: Validate required scopes
- **Authentication**: Ensure secure OAuth flows
- **External connections**: Assess risk of external integrations
### Compliance Requirements
- **Data residency**: Verify data stays within boundaries
- **Privacy policies**: Review agent privacy statement
- **Terms of use**: Validate acceptable use policies
- **Audit logs**: Monitor agent usage and activity
### Monitoring and Reporting
Track:
- Agent adoption rates
- User feedback and satisfaction
- Error rates and performance
- Security incidents or violations
## MCP-Specific Management
### MCP Agent Characteristics
- Connect to external systems via Model Context Protocol
- Use tools exposed by MCP servers
- Require OAuth 2.0 or SSO authentication
- Support same governance as REST API agents
### MCP Agent Validation
Verify:
- MCP server URL is accessible
- Authentication configuration is secure
- Tools imported are appropriate
- Response data doesn't expose sensitive info
- Server follows security best practices
### MCP Agent Deployment
Same process as REST API agents:
1. Review in admin center
2. Validate MCP server compliance
3. Test authentication flow
4. Deploy to users/groups
5. Monitor performance
## Agent Settings and Configuration
### Organizational Settings
Configure at tenant level:
- Enable/disable agent creation
- Set default permissions
- Configure approval workflows
- Define compliance policies
### Per-Agent Settings
Configure for individual agents:
- Availability (on/off)
- User assignment (all/groups/individuals)
- Permission scopes
- Usage limits or quotas
### Environment Routing
For Power Platform-based agents:
- Configure default environment
- Enable environment routing for Copilot Studio
- Manage flows via Power Platform admin center
## Shared Agent Management
### View Shared Agents
Admins can see:
- List of all shared agents
- Creator information
- Creation date
- Host products
- Availability status
### Manage Shared Agents
Admin actions:
- Search for specific shared agents
- View agent capabilities
- Block unsafe or non-compliant agents
- Monitor agent lifecycle
### User Access to Shared Agents
Users access through:
- Microsoft 365 Copilot on various surfaces
- Agent-specific tasks and assistance
- Creator-defined capabilities
## Best Practices
### Before Deployment
- **Pilot test** with small user group
- **Gather feedback** from early adopters
- **Validate security** and compliance
- **Document** agent capabilities and limitations
- **Train users** on agent usage
### During Deployment
- **Phased rollout** to manage adoption
- **Monitor performance** and errors
- **Collect feedback** continuously
- **Address issues** promptly
- **Communicate** availability to users
### Post-Deployment
- **Track metrics**: Adoption, satisfaction, errors
- **Iterate**: Improve based on feedback
- **Update**: Keep agent current with new features
- **Retire**: Remove obsolete or unused agents
- **Review**: Regular security and compliance audits
### Communication
- Announce new agents to users
- Provide documentation and examples
- Share best practices and use cases
- Highlight benefits and capabilities
- Offer support channels
## Troubleshooting
### Agent Not Appearing
- Check deployment status in admin center
- Verify user is in assigned group
- Confirm agent is not blocked
- Check user has Copilot license
- Refresh Copilot interface
### Authentication Failures
- Verify OAuth credentials are valid
- Check user has necessary permissions
- Confirm MCP server is accessible
- Test authentication flow independently
### Performance Issues
- Monitor MCP server response times
- Check network connectivity
- Review error logs in admin center
- Validate agent isn't rate-limited
### Compliance Violations
- Block agent immediately if unsafe
- Review audit logs for violations
- Investigate data access patterns
- Update policies to prevent recurrence
## Resources
- [Microsoft 365 admin center](https://admin.microsoft.com/)
- [Power Platform admin center](https://admin.powerplatform.microsoft.com/)
- [Partner Center](https://partner.microsoft.com/) for agent submissions
- [Microsoft Agent 365 Overview](https://learn.microsoft.com/en-us/microsoft-agent-365/overview)
- [Agent Registry Documentation](https://learn.microsoft.com/en-us/microsoft-365/admin/manage/agent-registry)
## Workflow
Ask the user:
1. Is this agent ready for deployment or still in development?
2. Who should have access (all users, specific groups, individuals)?
3. Are there compliance or security requirements to address?
4. Should this be published to the organization or the public store?
5. What monitoring and reporting is needed?
Then provide:
- Step-by-step deployment guide
- Admin center configuration steps
- User assignment recommendations
- Governance and compliance checklist
- Monitoring and reporting plan
© github, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/mcp-deploy-manage-agents of github/awesome-copilot.
Open the folder on GitHubat commit 727ff2e
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in github/awesome-copilot, which our catalogue first saw on October 7, 2026.
MCP Deploy Manage Agents 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 |
|---|---|---|---|---|---|---|
| MCP Deploy Manage Agents this skillgithub/awesome-copilot | 40k | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 62 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 5 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Integration for Pluginsanthropics/claude-plugins-official | 37k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Fastmcp Client CLIPrefectHQ/fastmcp | 28k | 1 repos | ~823 | Automated safety check: Pass | Apache-2.0 | |
| Crush Configurationcharmbracelet/crush | 29k | — | ~3.7k | Automated safety check: Pass | Custom licence |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
shareAI-lab/learn-claude-code
Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.
anthropics/claude-plugins-official
Explains how to bundle Model Context Protocol servers in a Claude Code plugin, covering config files, stdio, SSE, HTTP and WebSocket server types, and authentication.
PrefectHQ/fastmcp
Query and invoke tools on MCP servers using fastmcp list and fastmcp call.
charmbracelet/crush
Explains how to configure the Crush coding agent with crushrc or crush.json, covering providers, models, LSPs, MCP servers, hooks, permissions and config precedence.
mksglu/context-mode
Routes large command, file, API and browser output through context-mode tools so only the needed result enters the agent's context, instead of dumping it via Bash.
github/awesome-copilot
Maps an unfamiliar codebase into seven evidence-backed documents in docs/codebase/, using a scan script and templates, for onboarding or architecture write-ups.
github/awesome-copilot
Designs Azure infrastructure from a natural-language description, or diagrams an existing resource group, then refines the design through conversation and deploys it with Bicep.
github/awesome-copilot
Generates, edits and validates draw.io files with correct mxGraph XML, covering flowcharts, architecture, sequence, ER and UML class diagrams.
github/awesome-copilot
Cleans raw credit data and screens variables before loan modeling, dropping unstable, noisy or redundant features and writing an Excel report of every step.
github/awesome-copilot
Builds a warm, browser-based daily focus board the user updates by talking to their agent, with Eisenhower priorities, a brain-dump box and kind not-today carryover.
github/awesome-copilot
End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI.
Works with
Categories
Skill converted from mcp-deploy-manage-agents.prompt.md. An agent skill from github/awesome-copilot. MCP Deploy Manage Agents is an agent skill from github/awesome-copilot, published by the product's own GitHub organization.
MCP Deploy Manage Agents fits situations like: tasks that involve MCP servers.
Run `npx skills add github/awesome-copilot --skill mcp-deploy-manage-agents -a claude-code`. Or copy the skill folder (skills/mcp-deploy-manage-agents in github/awesome-copilot) into .claude/skills/mcp-deploy-manage-agents in your project. Claude Code loads it when a task matches its description.
Run `npx skills add github/awesome-copilot --skill mcp-deploy-manage-agents -a codex`. Or copy the skill folder (skills/mcp-deploy-manage-agents in github/awesome-copilot) into .agents/skills/mcp-deploy-manage-agents 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 github/awesome-copilot --skill mcp-deploy-manage-agents -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mcp-deploy-manage-agents, .gemini/skills/mcp-deploy-manage-agents, .github/skills/mcp-deploy-manage-agents and .opencode/skills/mcp-deploy-manage-agents in your project.
SKILL.md names no scripts, command-line tools or credentials: MCP Deploy Manage Agents is instructions for the agent only.
SKILL.md names 4 domains. In commands or code: admin.microsoft.com, learn.microsoft.com, admin.powerplatform.microsoft.com and partner.microsoft.com; the agent is likely to contact these when it follows the instructions. 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. Review the folder before installing.
MCP Deploy Manage Agents is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.5k tokens (SKILL.md is roughly 9.9k 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 MCP Deploy Manage Agents: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 37k stars) and Fastmcp Client CLI (PrefectHQ/fastmcp, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
github (a GitHub organization, an official publisher) maintains it in github/awesome-copilot, which has 39,748 GitHub stars. The repository holds 417 skills in this directory. The repository was last updated on October 7, 2026.
Source: github/awesome-copilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.