Docs
PrefectHQ/fastmcp
Write or revise a page under docs/ for gofastmcp.com. An agent skill from PrefectHQ/fastmcp.
Agent skill
by NVIDIA-AI-Blueprints in NVIDIA-AI-Blueprints/deep-researcher-agent
A skill your agent uses when validating an Deep Researcher Agent change before opening or merging a PR — choosing and running the right Python, frontend, docs, or eval checks for the surfaces you…
$ npx skills add NVIDIA-AI-Blueprints/deep-researcher-agent --skill deep-researcher-release-qa -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA-AI-Blueprints/deep-researcher-agent deep-researcher-release-qa --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-release-qa .claude/skills/deep-researcher-release-qa && 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-release-qa" agent skill from https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent/tree/develop/.agents/skills/deep-researcher-release-qa into .claude/skills/deep-researcher-release-qa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-researcher-release-qa", 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-release-qaType 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-release-qa -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA-AI-Blueprints/deep-researcher-agent deep-researcher-release-qa --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-release-qa .agents/skills/deep-researcher-release-qa && 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-release-qa" agent skill from https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent/tree/develop/.agents/skills/deep-researcher-release-qa into .agents/skills/deep-researcher-release-qa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-researcher-release-qa", 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-release-qa -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA-AI-Blueprints/deep-researcher-agent deep-researcher-release-qa --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-release-qa .cursor/skills/deep-researcher-release-qa && 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-release-qa" agent skill from https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent/tree/develop/.agents/skills/deep-researcher-release-qa into .cursor/skills/deep-researcher-release-qa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-researcher-release-qa", 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-release-qa--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-release-qa -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA-AI-Blueprints/deep-researcher-agent deep-researcher-release-qa --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-release-qa .gemini/skills/deep-researcher-release-qa && 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-release-qa" agent skill from https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent/tree/develop/.agents/skills/deep-researcher-release-qa into .gemini/skills/deep-researcher-release-qa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-researcher-release-qa", 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-release-qaInstalls 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-release-qa -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-release-qa .github/skills/deep-researcher-release-qa && 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-release-qa" agent skill from https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent/tree/develop/.agents/skills/deep-researcher-release-qa into .github/skills/deep-researcher-release-qa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-researcher-release-qa", 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-release-qa -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-release-qa --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-release-qa .opencode/skills/deep-researcher-release-qa && 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-release-qa" agent skill from https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent/tree/develop/.agents/skills/deep-researcher-release-qa into .opencode/skills/deep-researcher-release-qa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-researcher-release-qa", 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.
deep-researcher-release-qaA skill your agent uses when validating an Deep Researcher Agent change before opening or merging a PR — choosing and running the right Python, frontend, docs, or eval checks for the surfaces you…
Deep Researcher Release QA is an agent skill from NVIDIA-AI-Blueprints/deep-researcher-agent. Use when validating an Deep Researcher Agent change before opening or merging a PR — choosing and running the right Python, frontend, docs, or eval checks for the surfaces you touched instead of one fixed command list.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/validation-matrix.md`). Compatibility notes: Claude Code, Codex, Cursor, OpenCode, and Agent Skills-compatible tools.
It sits in Frontend & Design. It works with Python and Model Context Protocol. 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.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 951a1a1. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadBashFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
uvnpmgitruffFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use uv, npm and git, which can reach the network depending on how they are called.
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.
Claude Code, Codex, Cursor, OpenCode, and Agent Skills-compatible tools.
From compatibility in the SKILL.md frontmatter.
Deep Researcher Release QA loads about 1.2k tokens when it runs, and up to ~2.1k if it reads all its reference files. Until then it costs about 61 tokens; SKILL.md has 488 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 noted patterns worth knowing about, such as sudo or a known installer.
- Never paste secrets or `deploy/.env` values into command output you share.Forgetting that `nat eval` needs `deploy/.env`; run evals via`dotenv -f deploy/.env run nat eval ...` (see the matrix reference).allowed-tools: Read, BashAutomated 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 NVIDIA-AI-Blueprints/deep-researcher-agent at commit 951a1a1, republished under its Apache-2.0 licence (© NVIDIA-AI-Blueprints). 488 words, ~1,164 tokens.
.claude/skills/deep-researcher-release-qa/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Use this skill to validate a change in the Deep Researcher Agent repository before opening or merging a pull request. The goal is to run the narrowest set of checks that covers what you touched, then broaden only when a change crosses shared boundaries — not to run every command every time.
src/,
sources/, tests/), web UI (frontends/ui/), docs (docs/), or evals
(frontends/benchmarks/).src/deep_researcher_agent/common/ or a config many agents load).deep-researcher-prepare-pr requires this
as validation evidence.deploy/.env values into command output you share.pyproject.toml and uv.lock: root Ruff config (line length 120, rule sets
E,F,W,I,PL,UP) and the root dev environment.mcp/pyproject.toml and mcp/uv.lock: the independent MCP runtime and dev
environment. MCP is not a root dependency group.frontends/ui/package.json: the real scripts (lint, type-check,
test:ci, build) — use these names, do not invent npm scripts.For the full per-surface command list and expected results:
git status, git diff --name-only) and map them to
surfaces.Pick the block that matches the change. Run the narrowest first.
Backend Python (run from the repo root; the project uses uv):
uv run ruff check <changed paths> # lint
uv run ruff format --check <changed paths> # format check
uv run pytest <scoped test paths> # testsMCP server (run from the repo root):
uv sync --project mcp --extra dev
uv run ruff check mcp
uv run ruff format --check mcp
uv run --project mcp --extra dev pytest mcp/testsBroaden to the whole tree when the change crosses shared boundaries:
uv run ruff check .
uv run ruff format --check .
uv run pytest
uv run --project mcp --extra dev pytest mcp/testsFrontend (from frontends/ui/):
npm run lint
npm run type-check
npm run test:ciExpected: Ruff reports no lint or format failures, tests pass, and the frontend lint/type-check/test commands exit cleanly. For docs and eval changes, see the matrix reference.
uv run --project mcp so the
check consumes the isolated MCP lock and dev extra.ruff format --check and pushing unformatted code that fails CI.nat eval needs deploy/.env; run evals via
dotenv -f deploy/.env run nat eval ... (see the matrix reference).lint, type-check,
test:ci, and build defined in frontends/ui/package.json.deep-researcher-prepare-prdeep-researcher-add-tooldeep-researcher-add-data-source© 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
SKILL.md and 1 other file (references) in .agents/skills/deep-researcher-release-qa of NVIDIA-AI-Blueprints/deep-researcher-agent.
Open the folder on GitHubat commit 951a1a1
Deep Researcher Release QA 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 Release QA this skillNVIDIA-AI-Blueprints/deep-researcher-agent | 886 | — | ~1.2k | Automated safety check: Notes | Apache-2.0 | |
| DocsPrefectHQ/fastmcp | 28k | — | ~1k | Automated safety check: Pass | Apache-2.0 | |
| Jarvis Setupethanplusai/jarvis | 846 | — | ~2.5k | Automated safety check: Notes | Custom licence | |
| Fast Agent Designevalstate/fast-agent | 3.9k | — | ~220 | Automated safety check: Pass | Apache-2.0 | |
| Site Checkguardana/guardana | 259 | — | ~679 | Automated safety check: Pass | Apache-2.0 | |
| NSFC Literature Review WriterHuiyuLi-2000/Chinese-Grant-Writer-Skills | 439 | 1 repos | ~1.4k | Automated safety check: Notes | MIT |
PrefectHQ/fastmcp
Write or revise a page under docs/ for gofastmcp.com. An agent skill from PrefectHQ/fastmcp.
ethanplusai/jarvis
A skill your agent uses when helping someone install, configure, or debug a fresh clone of JARVIS (this repo) — especially "the mic doesn't work", "JARVIS says his language systems are down", any…
evalstate/fast-agent
A skill your agent uses to generate well-branded interfaces and assets for fast-agent, either for production or throwaway prototypes/mocks/etc.
guardana/guardana
Check the landing page and the generated documentation site (site/, guardana.dev) in a real browser — confirm a page renders after a docs change, review it at phone width, read the console and…
HuiyuLi-2000/Chinese-Grant-Writer-Skills
Writes the research-status literature review and critique section of an NSFC grant proposal, backed by a bundled multi-source literature search.
blazickjp/arxiv-mcp-server
A skill your agent uses when finding, comparing, reading, or monitoring arXiv papers, including requests for abstracts, citation graphs, original LaTeX, section-level technical details, or…
NVIDIA-AI-Blueprints/deep-researcher-agent
A skill your agent uses when composing, adapting, or validating an Deep Researcher Agent workflow YAML under configs/ — selecting a shipped profile, enabling tools and datasourceregistry sources…
NVIDIA-AI-Blueprints/deep-researcher-agent
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.
NVIDIA-AI-Blueprints/deep-researcher-agent
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…
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…
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/…
NVIDIA-AI-Blueprints/deep-researcher-agent
A skill your agent uses when asked to install, deploy, run, validate, troubleshoot, or stop NVIDIA Deep Researcher Agent Blueprint infrastructure.
Works with
Categories
A skill your agent uses when validating an Deep Researcher Agent change before opening or merging a PR — choosing and running the right Python, frontend, docs, or eval checks for the surfaces you…. Deep Researcher Release QA is an agent skill from NVIDIA-AI-Blueprints/deep-researcher-agent. Use when validating an Deep Researcher Agent change before opening or merging a PR — choosing and running the right Python, frontend, docs, or eval checks for the surfaces you touched instead of one fixed command list.
Deep Researcher Release QA fits situations like: validating an Deep Researcher Agent change before opening; merging a PR — choosing and running the right Python; eval checks for the surfaces you touched instead of one fixed command list.
Run `npx skills add NVIDIA-AI-Blueprints/deep-researcher-agent --skill deep-researcher-release-qa -a claude-code`. Or copy the skill folder (.agents/skills/deep-researcher-release-qa in NVIDIA-AI-Blueprints/deep-researcher-agent) into .claude/skills/deep-researcher-release-qa in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA-AI-Blueprints/deep-researcher-agent --skill deep-researcher-release-qa -a codex`. Or copy the skill folder (.agents/skills/deep-researcher-release-qa in NVIDIA-AI-Blueprints/deep-researcher-agent) into .agents/skills/deep-researcher-release-qa 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 NVIDIA-AI-Blueprints/deep-researcher-agent --skill deep-researcher-release-qa -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-release-qa, .gemini/skills/deep-researcher-release-qa, .github/skills/deep-researcher-release-qa and .opencode/skills/deep-researcher-release-qa in your project.
Going by SKILL.md and its folder, Deep Researcher Release QA needs the command-line tools its instructions call (uv, npm, git and ruff). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Bash. Compatibility (from SKILL.md): Claude Code, Codex, Cursor, OpenCode, and Agent Skills-compatible tools..
SKILL.md contains no URLs. Its commands use uv, npm and git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (mentions a .env file; pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Deep Researcher Release QA 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 1.2k tokens (SKILL.md is roughly 4.7k 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 905 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Deep Researcher Release QA: Docs (PrefectHQ/fastmcp, 28k stars), Jarvis Setup (ethanplusai/jarvis, 846 stars), Fast Agent Design (evalstate/fast-agent, 3.9k stars) and Site Check (guardana/guardana, 259 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.