Plugin Test
apache/skywalking-python
Build Docker test images and run SkyWalking Python plugin/unit/e2e tests locally, mirroring the CI pipeline
Agent skill
Deep Researcher Configure Workflow
by NVIDIA-AI-Blueprints in 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…
Install Deep Researcher Configure Workflow
$ npx skills add NVIDIA-AI-Blueprints/deep-researcher-agent --skill deep-researcher-configure-workflow -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA-AI-Blueprints/deep-researcher-agent deep-researcher-configure-workflow --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-configure-workflow .claude/skills/deep-researcher-configure-workflow && 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-configure-workflow" agent skill from https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent/tree/develop/.agents/skills/deep-researcher-configure-workflow into .claude/skills/deep-researcher-configure-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-researcher-configure-workflow", 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-configure-workflowType 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-configure-workflow -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA-AI-Blueprints/deep-researcher-agent deep-researcher-configure-workflow --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-configure-workflow .agents/skills/deep-researcher-configure-workflow && 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-configure-workflow" agent skill from https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent/tree/develop/.agents/skills/deep-researcher-configure-workflow into .agents/skills/deep-researcher-configure-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-researcher-configure-workflow", 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-configure-workflow -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA-AI-Blueprints/deep-researcher-agent deep-researcher-configure-workflow --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-configure-workflow .cursor/skills/deep-researcher-configure-workflow && 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-configure-workflow" agent skill from https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent/tree/develop/.agents/skills/deep-researcher-configure-workflow into .cursor/skills/deep-researcher-configure-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-researcher-configure-workflow", 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-configure-workflow--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-configure-workflow -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA-AI-Blueprints/deep-researcher-agent deep-researcher-configure-workflow --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-configure-workflow .gemini/skills/deep-researcher-configure-workflow && 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-configure-workflow" agent skill from https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent/tree/develop/.agents/skills/deep-researcher-configure-workflow into .gemini/skills/deep-researcher-configure-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-researcher-configure-workflow", 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-configure-workflowInstalls 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-configure-workflow -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-configure-workflow .github/skills/deep-researcher-configure-workflow && 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-configure-workflow" agent skill from https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent/tree/develop/.agents/skills/deep-researcher-configure-workflow into .github/skills/deep-researcher-configure-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-researcher-configure-workflow", 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-configure-workflow -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-configure-workflow --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-configure-workflow .opencode/skills/deep-researcher-configure-workflow && 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-configure-workflow" agent skill from https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent/tree/develop/.agents/skills/deep-researcher-configure-workflow into .opencode/skills/deep-researcher-configure-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-researcher-configure-workflow", 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-configure-workflow- GitHub stars
- 886
- Token cost
- ~1.1k tokens
- SKILL.md length
- 234 words
- Files
- 7 (incl. scripts, references, assets)
- Skills in repo
- 15
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
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…
- Works in 3 steps: Scaffold — cp configs/.yml… → Compose — references/composing-config.md → Validate (required) —
- Validating an Deep Researcher Agent workflow YAML under configs/ — selecting a shipped profile
- SKILL.md covers Start Here, Authoritative References, Workflow and Validation, plus 2 more sections
- Runs Python scripts from its folder; calls uv
What it does
Deep Researcher Configure Workflow is an agent skill from NVIDIA-AI-Blueprints/deep-researcher-agent. Use when composing, adapting, or validating an Deep Researcher Agent workflow YAML under configs/ — selecting a shipped profile, enabling tools and datasourceregistry sources, wiring chat or direct data-science workflows, configuring NeMo Relay and general.telemetry observability plus general.frontend deepresearcherapi settings, and pre-flighting cross-references before deploy or serve. Hand off deploy to deep-researcher-deploy, live research to deep-researcher-research, prompt/model edits to…
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts, reference files and assets (for example `assets/config-scaffold.yml`, `references/composing-config.md` and `references/config-profiles.md`). Compatibility notes: Claude Code, Codex, Cursor, OpenCode, and Agent Skills-compatible tools.
It sits in DevOps & Cloud, covering Observability and CI/CD. 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
- Validating an Deep Researcher Agent workflow YAML under configs/ — selecting a shipped profile
- Enabling tools and datasourceregistry sources
- Direct data-science workflows
- Configuring NeMo Relay and general.telemetry observability plus general.frontend deepresearcherapi settings
Example prompts
- “/deep-researcher-configure-workflow”
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
3 steps, taken from the first numbered list in SKILL.md.
- Scaffold — cp configs/.yml configs/config_.yml (or
- Compose — references/composing-config.md
- Validate (required) —
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
Ships 1 file in scripts/ (Python), which the agent can run.
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 Configure Workflow loads about 1.1k tokens when it runs, and up to ~5.2k if it reads all its reference files. Until then it costs about 166 tokens; SKILL.md has 234 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.
- NoteMentions a .env fileSKILL.md:61
dotenv -f deploy/.env run nat serve --config_file configs/config_<name>.yml --port 8000 - 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); the scripts in this folder 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). 234 words, ~1,104 tokens.
Download SKILL.mdSave it as
.claude/skills/deep-researcher-configure-workflow/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.- name
- deep-researcher-configure-workflow
- description
- Use when composing, adapting, or validating an Deep Researcher Agent workflow YAML under configs/ — selecting a shipped profile, enabling tools and data_source_registry sources, wiring chat or direct data-science workflows, configuring NeMo Relay and general.telemetry observability plus general.front_end deep_researcher_api settings, and pre-flighting cross-references before deploy or serve. Hand off deploy to deep-researcher-deploy, live research to deep-researcher-research, prompt/model edits to deep-researcher-customize-prompts-models, and new source code to deep-researcher-add-tool or deep-researcher-add-data-source.
- 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 config yaml workflow data-source-registry telemetry deep_researcher_api
Configure Deep Researcher Agent Workflows
Use this skill when a developer or operator needs a new configs/config_*.yml
file.
Start Here
- Confirm this is config composition — not deploy (
deep-researcher-deploy), live research (deep-researcher-research), prompt edits (deep-researcher-customize-prompts-models), or new NAT packages (deep-researcher-add-tool/deep-researcher-add-data-source). - Copy the closest shipped
configs/*.ymlprofile; merge feature blocks from others. - Every produced config must pass
validate_config.pybefore hand-off.
Authoritative References
docs/source/customization/configuration-reference.md— all fields and defaultsdocs/source/customization/tools-and-sources.mddocs/source/deployment/observability.md— tracing setup detailfrontends/deep_researcher_api/README.mdconfigs/config_web_default_llamaindex.yml/configs/config_cli_default.yml
Bundle:
- references/config-profiles.md — pick a starting profile.
- references/composing-config.md — holistic config map
(
general,llms,functions,workflow, telemetry,deep_researcher_api) and how to tune them. - references/env-vars.md — environment variables by config feature.
- references/config-schema.md — validator checks only.
- assets/config-scaffold.yml — fallback scaffold.
Workflow
- Scaffold —
cp configs/<profile>.yml configs/config_<name>.yml(or assets/config-scaffold.yml + merge blocks). - Compose — references/composing-config.md:
adjust registry, tools, agents, LLMs, telemetry,
deep_researcher_api, workflow flags. Useconfig_web_default_llamaindex.ymlas the live default for webgeneral:blocks;configuration-reference.mdfor every option. Use references/env-vars.md for feature-specific env vars. - Validate (required) —
uv run python .agents/skills/deep-researcher-configure-workflow/scripts/validate_config.py configs/config_<name>.ymlFix every ERROR:; re-run until exit code 0. Then hand off to deep-researcher-deploy or:
dotenv -f deploy/.env run nat serve --config_file configs/config_<name>.yml --port 8000Validation
uv run python .agents/skills/deep-researcher-configure-workflow/scripts/validate_config.py <config.yml>See references/config-schema.md. Expected: exit 0.
Common Mistakes
- Skipping
validate_config.pyon a new config. - Undefined
llms:alias or registry tool not declared underfunctions:. - Missing functions required by the selected workflow: the chat workflow needs
intent_classifier,shallow_research_agent, anddeep_research_agent; the direct DS workflow needsdata_science_agent. use_async_deep_research: truewithoutgeneral.front_end(deep_researcher_api).- Inventing feature YAML — copy from a shipped profile.
Related Skills
deep-researcher-deploydeep-researcher-researchdeep-researcher-customize-prompts-modelsdeep-researcher-add-tooldeep-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 6 other files (scripts, references, assets) in .agents/skills/deep-researcher-configure-workflow of NVIDIA-AI-Blueprints/deep-researcher-agent.
- SKILL.md
- assets/config-scaffold.yml
- references/composing-config.md
- references/config-profiles.md
- references/config-schema.md
- references/env-vars.md
- scripts/validate_config.py
Open the folder on GitHubat commit 951a1a1
Compare with similar skills
Deep Researcher Configure Workflow 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 Configure Workflow this skillNVIDIA-AI-Blueprints/deep-researcher-agent | 886 | — | ~1.1k | Automated safety check: Notes | Apache-2.0 | |
| Plugin Testapache/skywalking-python | 219 | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Devops InfrastructureCloudAI-X/claude-workflow-v2 | 1.4k | — | ~2.7k | Automated safety check: Notes | MIT | |
| Dotnet Devopsnovotnyllc/dotnet-artisan | 232 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Cloud Devopsdavila7/claude-code-templates | 33k | 4 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Ship Gatealirezarezvani/claude-skills | 28k | — | ~1.7k | Automated safety check: Pass | MIT |
Similar skills
Devops Infrastructure
CloudAI-X/claude-workflow-v2
Guides Docker, CI/CD pipelines, deployment strategies, infrastructure as code, and observability setup.
Dotnet Devops
novotnyllc/dotnet-artisan
Configures .NET CI/CD pipelines (GitHub Actions with setup-dotnet, NuGet cache, reusable workflows; Azure DevOps with DotNetCoreCLI, templates, multi-stage), containerization (multi-stage…
Cloud Devops
davila7/claude-code-templates
Cloud infrastructure and DevOps workflow covering AWS, Azure, GCP, Kubernetes, Terraform, CI/CD, monitoring, and cloud-native development.
Ship Gate
alirezarezvani/claude-skills
Pre-production audit that scans a codebase for security, database, deployment, code quality, AI/LLM, dependency, frontend, and observability issues.
Sap Btp Developer Guide
secondsky/sap-skills
Develops business applications on SAP Business Technology Platform (BTP) using CAP (Node.js/Java) or ABAP Cloud.
More from NVIDIA-AI-Blueprints/deep-researcher-agent
All 15 skills in this repoDeep Researcher Research
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.
Deep Researcher Add Data Source
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…
Deep Researcher Add Tool
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…
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
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.
Deep Researcher Maintain CI
NVIDIA-AI-Blueprints/deep-researcher-agent
A skill your agent uses when changing Deep Researcher Agent continuous integration, pre-commit, or contributor governance — editing .github/workflows/ (ci, ui, skills-eval, request-nvskills-ci)…
Related
Categories
Questions about Deep Researcher Configure Workflow
What does Deep Researcher Configure Workflow do?
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…. Deep Researcher Configure Workflow is an agent skill from NVIDIA-AI-Blueprints/deep-researcher-agent.frontend deepresearcherapi settings, and pre-flighting cross-references before deploy or serve.
When should I use Deep Researcher Configure Workflow?
Deep Researcher Configure Workflow fits situations like: validating an Deep Researcher Agent workflow YAML under configs/ — selecting a shipped profile; enabling tools and datasourceregistry sources; direct data-science workflows; configuring NeMo Relay and general.telemetry observability plus general.frontend deepresearcherapi settings.
How do I install Deep Researcher Configure Workflow in Claude Code?
Run `npx skills add NVIDIA-AI-Blueprints/deep-researcher-agent --skill deep-researcher-configure-workflow -a claude-code`. Or copy the skill folder (.agents/skills/deep-researcher-configure-workflow in NVIDIA-AI-Blueprints/deep-researcher-agent) into .claude/skills/deep-researcher-configure-workflow in your project. Claude Code loads it when a task matches its description.
How do I install Deep Researcher Configure Workflow in Codex?
Run `npx skills add NVIDIA-AI-Blueprints/deep-researcher-agent --skill deep-researcher-configure-workflow -a codex`. Or copy the skill folder (.agents/skills/deep-researcher-configure-workflow in NVIDIA-AI-Blueprints/deep-researcher-agent) into .agents/skills/deep-researcher-configure-workflow in your project. Codex loads it when a task matches its description.
Can I use Deep Researcher Configure Workflow 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-configure-workflow -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-configure-workflow, .gemini/skills/deep-researcher-configure-workflow, .github/skills/deep-researcher-configure-workflow and .opencode/skills/deep-researcher-configure-workflow in your project.
What does Deep Researcher Configure Workflow need to run?
Going by SKILL.md and its folder, Deep Researcher Configure Workflow needs Python for the scripts in its folder and 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 Configure Workflow 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 Configure Workflow safe to install?
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Deep Researcher Configure Workflow use?
Deep Researcher Configure Workflow 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 Configure Workflow use?
About 1.1k tokens (SKILL.md is roughly 4.4k 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 4.1k tokens, read only when the agent opens those files.
What are the alternatives to Deep Researcher Configure Workflow?
Skills that share tags, products or a category with Deep Researcher Configure Workflow: Plugin Test (apache/skywalking-python, 219 stars), Devops Infrastructure (CloudAI-X/claude-workflow-v2, 1.4k stars), Dotnet Devops (novotnyllc/dotnet-artisan, 232 stars) and Cloud Devops (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.
Who maintains Deep Researcher Configure Workflow?
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.