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.
Required for 4+ step requests; add tasks at start and update status after each step.
Install Task List
$ npx skills add NVIDIA/SkillEvaluator --skill task-list -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/SkillEvaluator task-list --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/SkillEvaluator.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/skillevaluator/tier3/reference_skills/task-list .claude/skills/task-list && 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 "task-list" agent skill from https://github.com/NVIDIA/SkillEvaluator/tree/main/src/skillevaluator/tier3/reference_skills/task-list into .claude/skills/task-list/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "task-list", 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/SkillEvaluator/tree/main/src/skillevaluator/tier3/reference_skills/task-listType 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/SkillEvaluator --skill task-list -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/SkillEvaluator task-list --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/SkillEvaluator.git skills-src && mkdir -p .agents/skills && cp -r skills-src/src/skillevaluator/tier3/reference_skills/task-list .agents/skills/task-list && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "task-list" agent skill from https://github.com/NVIDIA/SkillEvaluator/tree/main/src/skillevaluator/tier3/reference_skills/task-list into .agents/skills/task-list/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "task-list", 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/SkillEvaluator --skill task-list -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/SkillEvaluator task-list --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/SkillEvaluator.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/src/skillevaluator/tier3/reference_skills/task-list .cursor/skills/task-list && 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 "task-list" agent skill from https://github.com/NVIDIA/SkillEvaluator/tree/main/src/skillevaluator/tier3/reference_skills/task-list into .cursor/skills/task-list/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "task-list", 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/SkillEvaluator.git --path src/skillevaluator/tier3/reference_skills/task-list--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/SkillEvaluator --skill task-list -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/SkillEvaluator task-list --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/SkillEvaluator.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/src/skillevaluator/tier3/reference_skills/task-list .gemini/skills/task-list && 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 "task-list" agent skill from https://github.com/NVIDIA/SkillEvaluator/tree/main/src/skillevaluator/tier3/reference_skills/task-list into .gemini/skills/task-list/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "task-list", 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/SkillEvaluator task-listInstalls 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/SkillEvaluator --skill task-list -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NVIDIA/SkillEvaluator.git skills-src && mkdir -p .github/skills && cp -r skills-src/src/skillevaluator/tier3/reference_skills/task-list .github/skills/task-list && 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 "task-list" agent skill from https://github.com/NVIDIA/SkillEvaluator/tree/main/src/skillevaluator/tier3/reference_skills/task-list into .github/skills/task-list/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "task-list", 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/SkillEvaluator --skill task-list -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/SkillEvaluator task-list --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/SkillEvaluator.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/src/skillevaluator/tier3/reference_skills/task-list .opencode/skills/task-list && 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 "task-list" agent skill from https://github.com/NVIDIA/SkillEvaluator/tree/main/src/skillevaluator/tier3/reference_skills/task-list into .opencode/skills/task-list/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "task-list", 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
task-list- GitHub stars
- 544
- Token cost
- ~460 tokens
- SKILL.md length
- 169 words
- Files
- 4 (incl. scripts, references)
- Skills in repo
- 5
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Required for 4+ step requests; add tasks at start and update status after each step.
- Works in 4 steps: Add tasks at the start → Start a task before working on it → Complete a task when done → …
- Tasks that involve Task breakdown
- SKILL.md covers When to use, Instructions, How to use and Examples, plus 2 more sections
- Runs Python scripts from its folder
What it does
Task List is an agent skill from NVIDIA/SkillEvaluator, published by the product's own GitHub organization. Required for 4+ step requests; add tasks at start and update status after each step.
Its SKILL.md is about 460 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `evals/evals.json`, `references/task_patterns.md` and `scripts/tasks.py`).
It sits in Agent Workflows, covering Task breakdown and Agent evaluation and testing. The repository describes itself as: Multi-tier framework for evaluating AI agent skills with quality gates, semantic overlap detection, synthetic evaluation dataset generation, and live agent evaluation that… The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Task breakdown
- Tasks that involve Agent evaluation and testing
Example prompts
- “/task-list”
Requirements
- Python 3
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit f32c884. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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.
Context cost
Task List loads about 460 tokens when it runs, and up to ~750 if it reads all its reference files. Until then it costs about 24 tokens; SKILL.md has 169 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 passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from NVIDIA/SkillEvaluator at commit f32c884, republished under its Apache-2.0 licence (© NVIDIA). 169 words, ~460 tokens.
Download SKILL.mdSave it as
.claude/skills/task-list/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- task-list
- description
- Required for 4+ step requests; add tasks at start and update status after each step.
- metadata.author
- SkillEvaluator Maintainers <maintainers@example.com>
Task List Skill
Track multi-step tasks to ensure nothing is forgotten.
When to use
- The request requires 4 or more distinct steps
- You need to perform several operations in sequence
Instructions
- Add tasks before starting multi-step work.
- Mark exactly one task in progress while working.
- Update task status as each step completes.
- Keep task text concise and action-oriented.
How to use
Use the tasks tool directly. Do NOT use run_code, execute, or write_file for task management.
1. Add tasks at the start
tasks(operation="add_multiple", content="Step one; Step two; Step three")This clears any previous tasks. Each request starts fresh.
Examples
tasks(operation="add_multiple", content="Inspect repo; Run tests; Summarize findings")
tasks(operation="start", task_id="task_1")
tasks(operation="complete", task_id="task_1")2. Start a task before working on it
tasks(operation="start", task_id="task_1")3. Complete a task when done
tasks(operation="complete", task_id="task_1")4. Check what's next
tasks(operation="next")All operations
| Operation | Args | Description |
|---|---|---|
add_multiple | content="t1; t2; t3" | Add tasks (clears previous) |
start | task_id="task_1" | Mark in_progress |
complete | task_id="task_1" | Mark completed |
cancel | task_id="task_1" | Cancel a task |
list | (none) | Show all tasks |
next | (none) | Get next pending task |
Rules
- One task in_progress at a time
- Start before working, complete when done
- Do not leave tasks hanging
© NVIDIA, 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 3 other files (scripts, references) in src/skillevaluator/tier3/reference_skills/task-list of NVIDIA/SkillEvaluator.
- SKILL.md
- evals/evals.json
- references/task_patterns.md
- scripts/tasks.py
Open the folder on GitHubat commit f32c884
Compare with similar skills
Task List 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 |
|---|---|---|---|---|---|---|
| Task List this skillNVIDIA/SkillEvaluator | 544 | — | ~460 | Automated safety check: Pass | Apache-2.0 | |
| MCP Server Builderanthropics/skills | 180k | 62 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Diagnosing Superpowers Sessionsobra/superpowers | 296k | 3 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Darwin Skill Optimizeralchaincyf/darwin-skill | 6.2k | 1 repos | ~4.7k | Automated safety check: Pass | MIT | |
| Skill Release Gaterohitg00/ai-engineering-from-scratch | 65k | — | ~1k | Automated safety check: Pass | MIT | |
| CodeGraph Agent Evalcolbymchenry/codegraph | 73k | — | ~950 | Automated safety check: Pass | MIT |
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Darwin Skill Optimizer
alchaincyf/darwin-skill
Scores SKILL.md files on a nine-dimension rubric, then improves them in a keep-or-revert loop with independent judge agents, test prompts, git history and human checkpoints.
Skill Release Gate
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Evaluates an Agent Skill bundle before release for structure, trigger quality, artifact improvement, script correctness, safety, installed-tree integrity and host portability.
CodeGraph Agent Eval
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Benchmarks how much CodeGraph helps a coding agent on a real repository, comparing runs with and without it for a chosen local or published version.
- Official
Copilot Session Failure Analysis
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Related
Categories
Questions about Task List
What does Task List do?
Required for 4+ step requests; add tasks at start and update status after each step. Task List is an agent skill from NVIDIA/SkillEvaluator, published by the product's own GitHub organization. Required for 4+ step requests; add tasks at start and update status after each step.
When should I use Task List?
Task List fits situations like: tasks that involve Task breakdown; tasks that involve Agent evaluation and testing.
How do I install Task List in Claude Code?
Run `npx skills add NVIDIA/SkillEvaluator --skill task-list -a claude-code`. Or copy the skill folder (src/skillevaluator/tier3/reference_skills/task-list in NVIDIA/SkillEvaluator) into .claude/skills/task-list in your project. Claude Code loads it when a task matches its description.
How do I install Task List in Codex?
Run `npx skills add NVIDIA/SkillEvaluator --skill task-list -a codex`. Or copy the skill folder (src/skillevaluator/tier3/reference_skills/task-list in NVIDIA/SkillEvaluator) into .agents/skills/task-list in your project. Codex loads it when a task matches its description.
Can I use Task List 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/SkillEvaluator --skill task-list -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/task-list, .gemini/skills/task-list, .github/skills/task-list and .opencode/skills/task-list in your project.
What does Task List need to run?
Going by SKILL.md and its folder, Task List needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Task List access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Task List safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Task List use?
Task List is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Task List use?
About 460 tokens (SKILL.md is roughly 1.8k 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 290 tokens, read only when the agent opens those files.
What are the alternatives to Task List?
Skills that share tags, products or a category with Task List: MCP Server Builder (anthropics/skills, 180k stars), Diagnosing Superpowers Sessions (obra/superpowers, 296k stars), Darwin Skill Optimizer (alchaincyf/darwin-skill, 6.2k stars) and Skill Release Gate (rohitg00/ai-engineering-from-scratch, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Task List?
NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/SkillEvaluator, which has 544 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 7, 2026.
Source: NVIDIA/SkillEvaluator on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.