NotebookLM Research Assistant
PleasePrompto/notebooklm-skill
Lets Claude Code ask questions of your Google NotebookLM notebooks through browser automation and return answers grounded in your uploaded sources.
Agent skill
Deep Researcher Add Tool
by NVIDIA-AI-Blueprints in NVIDIA-AI-Blueprints/deep-researcher-agent
A skill your agent uses when adding or changing a general-purpose Deep Researcher Agent tool (a NeMo Agent Toolkit function) under sources/, defining its FunctionBaseConfig schema, registering it…
Apache-2.0Auto-check: notes
Install Deep Researcher Add Tool
$ npx skills add NVIDIA-AI-Blueprints/deep-researcher-agent --skill deep-researcher-add-tool -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA-AI-Blueprints/deep-researcher-agent deep-researcher-add-tool --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/NVIDIA-AI-Blueprints/deep-researcher-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/deep-researcher-add-tool .claude/skills/deep-researcher-add-tool && 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 "deep-researcher-add-tool" agent skill from https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent/tree/develop/.agents/skills/deep-researcher-add-tool into .claude/skills/deep-researcher-add-tool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-researcher-add-tool", 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/NVIDIA-AI-Blueprints/deep-researcher-agent/tree/develop/.agents/skills/deep-researcher-add-toolType 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 NVIDIA-AI-Blueprints/deep-researcher-agent --skill deep-researcher-add-tool -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA-AI-Blueprints/deep-researcher-agent deep-researcher-add-tool --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/deep-researcher-add-tool .agents/skills/deep-researcher-add-tool && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "deep-researcher-add-tool" agent skill from https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent/tree/develop/.agents/skills/deep-researcher-add-tool into .agents/skills/deep-researcher-add-tool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-researcher-add-tool", 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 NVIDIA-AI-Blueprints/deep-researcher-agent --skill deep-researcher-add-tool -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA-AI-Blueprints/deep-researcher-agent deep-researcher-add-tool --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/deep-researcher-add-tool .cursor/skills/deep-researcher-add-tool && 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 "deep-researcher-add-tool" agent skill from https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent/tree/develop/.agents/skills/deep-researcher-add-tool into .cursor/skills/deep-researcher-add-tool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-researcher-add-tool", 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/NVIDIA-AI-Blueprints/deep-researcher-agent.git --path .agents/skills/deep-researcher-add-tool--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 NVIDIA-AI-Blueprints/deep-researcher-agent --skill deep-researcher-add-tool -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA-AI-Blueprints/deep-researcher-agent deep-researcher-add-tool --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/deep-researcher-add-tool .gemini/skills/deep-researcher-add-tool && 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 "deep-researcher-add-tool" agent skill from https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent/tree/develop/.agents/skills/deep-researcher-add-tool into .gemini/skills/deep-researcher-add-tool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-researcher-add-tool", 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 NVIDIA-AI-Blueprints/deep-researcher-agent deep-researcher-add-toolInstalls 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 NVIDIA-AI-Blueprints/deep-researcher-agent --skill deep-researcher-add-tool -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/deep-researcher-add-tool .github/skills/deep-researcher-add-tool && 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 "deep-researcher-add-tool" agent skill from https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent/tree/develop/.agents/skills/deep-researcher-add-tool into .github/skills/deep-researcher-add-tool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-researcher-add-tool", 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 NVIDIA-AI-Blueprints/deep-researcher-agent --skill deep-researcher-add-tool -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install NVIDIA-AI-Blueprints/deep-researcher-agent deep-researcher-add-tool --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/deep-researcher-add-tool .opencode/skills/deep-researcher-add-tool && 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 "deep-researcher-add-tool" agent skill from https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent/tree/develop/.agents/skills/deep-researcher-add-tool into .opencode/skills/deep-researcher-add-tool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-researcher-add-tool", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
deep-researcher-add-tool- GitHub stars
- 886
- Token cost
- ~1.1k tokens
- SKILL.md length
- 475 words
- Files
- 3 (incl. references)
- Skills in repo
- 15
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
A skill your agent uses when adding or changing a general-purpose Deep Researcher Agent tool (a NeMo Agent Toolkit function) under sources/, defining its FunctionBaseConfig schema, registering it…
- Works in 8 steps: Pick the closest existing package under… → Create sources// with src/register.py, a… → Define a FunctionBaseConfig subclass… → …
- Changing a general-purpose Deep Researcher Agent tool (a NeMo Agent Toolkit function) under sources/
- SKILL.md covers Start Here, Authoritative References, Workflow and Validation, plus 2 more sections
- Calls uv
What it does
Deep Researcher Add Tool is an agent skill from NVIDIA-AI-Blueprints/deep-researcher-agent. Use when adding or changing a general-purpose Deep Researcher Agent tool (a NeMo Agent Toolkit function) under sources/, defining its FunctionBaseConfig schema, registering it with @registerfunction, wiring it into an agent's tools list, or testing it.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/nat-function-pattern.md` and `references/testing.md`). Compatibility notes: Claude Code, Codex, Cursor, OpenCode, and Agent Skills-compatible tools.
The repository describes itself as: The NVIDIA Deep Researcher Agent Blueprint is an open reference example for building intelligent AI agents that connect to your enterprise data, reason using state-of-the-art… The licence is Apache-2.0.
When your agent uses it
- Changing a general-purpose Deep Researcher Agent tool (a NeMo Agent Toolkit function) under sources/
- Defining its FunctionBaseConfig schema
- Registering it with @registerfunction
- Wiring it into an agents tools list
Example prompts
- “/deep-researcher-add-tool”
Requirements
- Python 3
- Compatibility (from SKILL.md): Claude Code, Codex, Cursor, OpenCode, and Agent Skills-compatible tools.
- Pre-approved tools (allowed-tools): Read, Bash, Edit
Workflow steps
8 steps, taken from the first numbered list in SKILL.md.
- Pick the closest existing package under sources/ and inspect its layout.
- Create sources// with src/register.py, a client module,
- Define a FunctionBaseConfig subclass with a stable name= (this becomes the
- Register an async @register_function that yields a FunctionInfo; yield a
- Add the [project.entry-points."nat.plugins"] entry and install the package
- Reference the tool in a config under configs/ (under functions:, then in
- Add focused tests; run the validation commands below.
- Summarize changed files and paste the test/lint evidence.
What it can do on your machine
Read from SKILL.md and the folder at commit 951a1a1. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadBashEdit
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
uv
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
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.
Compatibility
Claude Code, Codex, Cursor, OpenCode, and Agent Skills-compatible tools.
From compatibility in the SKILL.md frontmatter.
Context cost
Deep Researcher Add Tool loads about 1.1k tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 70 tokens; SKILL.md has 475 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Read, Bash, Edit
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from NVIDIA-AI-Blueprints/deep-researcher-agent at commit 951a1a1, republished under its Apache-2.0 licence (© NVIDIA-AI-Blueprints). 475 words, ~1,113 tokens.
Download SKILL.mdSave it as
.claude/skills/deep-researcher-add-tool/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- deep-researcher-add-tool
- description
- Use when adding or changing a general-purpose Deep Researcher Agent tool (a NeMo Agent Toolkit function) under sources/, defining its FunctionBaseConfig schema, registering it with @register_function, wiring it into an agent's tools list, or testing it.
- allowed-tools
- Read, Bash, Edit
- compatibility
- Claude Code, Codex, Cursor, OpenCode, and Agent Skills-compatible tools.
- license
- Apache-2.0
- metadata.version
- 0.1.0
- metadata.source-repo
- NVIDIA-AI-Blueprints/deep-researcher-agent
- metadata.tags
- deep-researcher nemo-agent-toolkit tool function sources
Add an Deep Researcher Agent Tool
Use this skill when a developer wants to add a general-purpose tool to Deep Researcher Agent — a
NeMo Agent Toolkit (NAT) function such as a web search, calculator, or code
helper. The tool is a package under sources/, registered with
@register_function and referenced directly in an agent's tools list.
Start Here
- Confirm this is a general utility tool. If it is domain-specific retrieval
that should appear as a toggleable source in the UI, use
deep-researcher-add-data-sourceinstead — a data source is the same NAT function plus adata_source_registryentry. This skill stops at wiring the tool into an agent. - Read the authoritative files below before editing.
- Copy the closest existing tool package rather than inventing a new shape.
- Never print or commit API keys; resolve secrets at runtime via
SecretStr.
Authoritative References
docs/source/extending/adding-a-tool.md: canonical 8-step walkthrough; the workflow below mirrors it.sources/tavily_web_search/: minimal tool package.sources/google_scholar_paper_search/: tool package with a separate client, a graceful missing-secret stub, and tests.docs/source/extending/adding-a-data-source.md: "Data Source vs. Tool" — a data source is architecturally identical to a tool; only the registry wiring differs.
Existing tools to model on: tavily_web_search, exa_web_search,
paper_search (Google Scholar), knowledge_retrieval.
Longer procedures live in this bundle:
- references/nat-function-pattern.md:
package layout, config class, registration, the missing-secret stub, the
pyproject.tomlentry point, and wiring the tool into an agent in YAML. - references/testing.md: unit-test pattern and the install/test/lint validation commands.
Workflow
- Pick the closest existing package under
sources/and inspect its layout. - Create
sources/<my_tool>/withsrc/register.py, a client module,pyproject.toml, andtests/. - Define a
FunctionBaseConfigsubclass with a stablename=(this becomes the YAML_type); resolve any API key viaSecretStr. - Register an async
@register_functionthat yields aFunctionInfo; yield a graceful stub when a required secret is missing. - Add the
[project.entry-points."nat.plugins"]entry and install the package editable. - Reference the tool in a config under
configs/(underfunctions:, then in an agent'stools:list). - Add focused tests; run the validation commands below.
- Summarize changed files and paste the test/lint evidence.
Show full SKILL.md (138 more words)Show less
Validation
Run the narrowest commands first; broaden only if the change touches shared code.
uv pip install -e ./sources/my_tool
uv run pytest sources/my_tool/tests
uv run ruff check sources/my_tool
uv run ruff format --check sources/my_toolExpected: the package installs, its tests pass, and Ruff reports no lint or format failures for the new tool package.
Common Mistakes
- Omitting the
[project.entry-points."nat.plugins"]entry inpyproject.toml, so NAT never discovers the registration at import time. - Crashing on a missing API key instead of yielding a stub that returns a clear error string.
- Raising exceptions from the tool function; tools must return error messages as strings so they never crash the agent.
- Weak docstrings: the LLM uses the function docstring as the tool description to decide when to call it — state what it does, when to use it, and what it returns.
- Printing API keys or embedding secrets in YAML instead of using environment
variables or
SecretStr.
Related Skills
deep-researcher-configure-workflowdeep-researcher-add-data-sourcedeep-researcher-release-qadeep-researcher-prepare-pr
© NVIDIA-AI-Blueprints, 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 2 other files (references) in .agents/skills/deep-researcher-add-tool of NVIDIA-AI-Blueprints/deep-researcher-agent.
- SKILL.md
- references/nat-function-pattern.md
- references/testing.md
Open the folder on GitHubat commit 951a1a1
Compare with similar skills
Deep Researcher Add Tool 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 |
|---|---|---|---|---|---|---|
| Deep Researcher Add Tool this skillNVIDIA-AI-Blueprints/deep-researcher-agent | 886 | — | ~1.1k | Automated safety check: Notes | Apache-2.0 | |
| NotebookLM Research AssistantPleasePrompto/notebooklm-skill | 7.8k | 14 repos | ~2.4k | Automated safety check: Notes | MIT | |
| Hypothesis Generationspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Notes | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Agent ReachPanniantong/Agent-Reach | 95k | — | ~1.4k | Automated safety check: Pass | MIT |
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GitHub Deep Research
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Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
Nature Paper Card
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A skill your agent uses when asked to run deep research or Deep Researcher Agent research through a reachable NVIDIA Deep Researcher Agent Blueprint backend.
Deep Researcher Add Data Source
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A skill your agent uses when adding or changing an Deep Researcher Agent data source under sources/, registering it as a NeMo Agent Toolkit function, wiring it into the datasourceregistry for UI…
Deep Researcher Customize Prompts Models
NVIDIA-AI-Blueprints/deep-researcher-agent
A skill your agent uses when customizing Deep Researcher Agent behavior through Jinja2 prompt templates or per-agent model selection — editing prompts under src/deepresearcheragent/agents//prompts/…
Deep Researcher Deploy
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A skill your agent uses when asked to install, deploy, run, validate, troubleshoot, or stop NVIDIA Deep Researcher Agent Blueprint infrastructure.
Deep Researcher Maintain CI
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Questions about Deep Researcher Add Tool
What does Deep Researcher Add Tool do?
A skill your agent uses when adding or changing a general-purpose Deep Researcher Agent tool (a NeMo Agent Toolkit function) under sources/, defining its FunctionBaseConfig schema, registering it…. Deep Researcher Add Tool is an agent skill from NVIDIA-AI-Blueprints/deep-researcher-agent. Use when adding or changing a general-purpose Deep Researcher Agent tool (a NeMo Agent Toolkit function) under sources/, defining its FunctionBaseConfig schema, registering it with @registerfunction, wiring it into an agent's tools list, or testing it.
When should I use Deep Researcher Add Tool?
Deep Researcher Add Tool fits situations like: changing a general-purpose Deep Researcher Agent tool (a NeMo Agent Toolkit function) under sources/; defining its FunctionBaseConfig schema; registering it with @registerfunction; wiring it into an agents tools list.
How do I install Deep Researcher Add Tool in Claude Code?
Run `npx skills add NVIDIA-AI-Blueprints/deep-researcher-agent --skill deep-researcher-add-tool -a claude-code`. Or copy the skill folder (.agents/skills/deep-researcher-add-tool in NVIDIA-AI-Blueprints/deep-researcher-agent) into .claude/skills/deep-researcher-add-tool in your project. Claude Code loads it when a task matches its description.
How do I install Deep Researcher Add Tool in Codex?
Run `npx skills add NVIDIA-AI-Blueprints/deep-researcher-agent --skill deep-researcher-add-tool -a codex`. Or copy the skill folder (.agents/skills/deep-researcher-add-tool in NVIDIA-AI-Blueprints/deep-researcher-agent) into .agents/skills/deep-researcher-add-tool in your project. Codex loads it when a task matches its description.
Can I use Deep Researcher Add Tool 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 NVIDIA-AI-Blueprints/deep-researcher-agent --skill deep-researcher-add-tool -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deep-researcher-add-tool, .gemini/skills/deep-researcher-add-tool, .github/skills/deep-researcher-add-tool and .opencode/skills/deep-researcher-add-tool in your project.
What does Deep Researcher Add Tool need to run?
Going by SKILL.md and its folder, Deep Researcher Add Tool needs the command-line tools its instructions call (uv). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Bash, Edit. Compatibility (from SKILL.md): Claude Code, Codex, Cursor, OpenCode, and Agent Skills-compatible tools..
Does Deep Researcher Add Tool access the network?
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Deep Researcher Add Tool safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Deep Researcher Add Tool use?
Deep Researcher Add Tool 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 Deep Researcher Add Tool use?
About 1.1k tokens (SKILL.md is roughly 4.5k 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 1.6k tokens, read only when the agent opens those files.
What are the alternatives to Deep Researcher Add Tool?
Skills that share tags, products or a category with Deep Researcher Add Tool: NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars), Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars) and Nature Paper Card (Yuan1z0825/nature-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Deep Researcher Add Tool?
NVIDIA-AI-Blueprints (a GitHub organization) maintains it in NVIDIA-AI-Blueprints/deep-researcher-agent, which has 886 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 9, 2026.
Source: NVIDIA-AI-Blueprints/deep-researcher-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.