Agent skill

Check Deliverables

by tonghuikang in tonghuikang/nemotron

Review work against user requirements, enumerate tasks, and verify completion with tests and formatting

No licenceAuto-check passedTesting & QA

Install Check Deliverables

skills CLI
$ npx skills add tonghuikang/nemotron --skill check-deliverables -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install tonghuikang/nemotron check-deliverables --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/tonghuikang/nemotron.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/check-deliverables .claude/skills/check-deliverables && rm -rf skills-src

Use ~/.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/

Facts

Skill name
check-deliverables
GitHub stars
117
Token cost
~164 tokens
SKILL.md length
76 words
Files
1
Skills in repo
2
Repo updated
First seen
Licence
None found

At a glance

Review work against user requirements, enumerate tasks, and verify completion with tests and formatting

  • Works in 2 steps: Enumerate over every requirement from… → Check whether the user instruction is…
  • Tasks that involve Quality gates
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Check Deliverables is an agent skill from tonghuikang/nemotron. Review work against user requirements, enumerate tasks, and verify completion with tests and formatting

Its SKILL.md is about 160 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Testing & QA, covering Quality gates. The repository describes itself as: Progress Prize winning submission for NVIDIA Nemotron Model Reasoning Challenge.

When your agent uses it

  • Tasks that involve Quality gates

Example prompts

  • “/check-deliverables”

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. Enumerate over every requirement from the user
  2. Check whether the user instruction is followed

What it can do on your machine

Read from SKILL.md and the folder at commit bb199bc. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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

Check Deliverables loads about 164 tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 76 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~31
When it runs · the whole SKILL.md, loaded when a task matches
~164

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); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 76 words (~164 tokens).

name
check-deliverables

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/check-deliverables of tonghuikang/nemotron.

Open the folder on GitHubat commit bb199bc

Compare with similar skills

Check Deliverables 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.

Check Deliverables compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Check Deliverables this skilltonghuikang/nemotron117—~164Automated safety check: PassNone
Feature Plannerserendipity1004/cc-feature-implementer176—~2.4kAutomated safety check: PassNone
Ccg Workflowfengshao1227/ccg-workflow5.9k—~2.3kAutomated safety check: PassMIT
Conducty Checkpointrobertbarclayy/conducty176—~1.5kAutomated safety check: PassMIT
Mission Plannerjdforsythe/forge151—~3.5kAutomated safety check: PassMIT
Quality Gate0xNyk/lacp305—~382Automated safety check: PassMIT

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Categories

Questions about Check Deliverables

What does Check Deliverables do?

Review work against user requirements, enumerate tasks, and verify completion with tests and formatting. Check Deliverables is an agent skill from tonghuikang/nemotron.

When should I use Check Deliverables?

Check Deliverables fits situations like: tasks that involve Quality gates.

How do I install Check Deliverables in Claude Code?

Run `npx skills add tonghuikang/nemotron --skill check-deliverables -a claude-code`. Or copy the skill folder (skills/check-deliverables in tonghuikang/nemotron) into .claude/skills/check-deliverables in your project. Claude Code loads it when a task matches its description.

How do I install Check Deliverables in Codex?

Run `npx skills add tonghuikang/nemotron --skill check-deliverables -a codex`. Or copy the skill folder (skills/check-deliverables in tonghuikang/nemotron) into .agents/skills/check-deliverables in your project. Codex loads it when a task matches its description.

Can I use Check Deliverables 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 tonghuikang/nemotron --skill check-deliverables -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/check-deliverables, .gemini/skills/check-deliverables, .github/skills/check-deliverables and .opencode/skills/check-deliverables in your project.

What does Check Deliverables need to run?

SKILL.md names no scripts, command-line tools or credentials: Check Deliverables is instructions for the agent only.

Does Check Deliverables 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 Check Deliverables 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. Review the folder before installing.

What licence does Check Deliverables use?

No licence was found for Check Deliverables or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Check Deliverables use?

About 164 tokens (SKILL.md is roughly 656 characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Check Deliverables?

Skills that share tags, products or a category with Check Deliverables: Feature Planner (serendipity1004/cc-feature-implementer, 176 stars), Ccg Workflow (fengshao1227/ccg-workflow, 5.9k stars), Conducty Checkpoint (robertbarclayy/conducty, 176 stars) and Mission Planner (jdforsythe/forge, 151 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Check Deliverables?

tonghuikang (a GitHub user) maintains it in tonghuikang/nemotron, which has 117 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on June 19, 2026.

Source: tonghuikang/nemotron on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.