Verify All Deliverables
HKUDS/OpenSpace
Ensure all required output files are created and verified before marking a task complete
Quality standards for structured deliverables, ensuring data is verifiable and traceable
Apache-2.0Auto-check passed
Install Artifact Quality
$ npx skills add chekusu/wanman --skill artifact-quality -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install chekusu/wanman artifact-quality --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/chekusu/wanman.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/core/skills/artifact-quality .claude/skills/artifact-quality && 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 "artifact-quality" agent skill from https://github.com/chekusu/wanman/tree/main/packages/core/skills/artifact-quality into .claude/skills/artifact-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "artifact-quality", 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/chekusu/wanman/tree/main/packages/core/skills/artifact-qualityType 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 chekusu/wanman --skill artifact-quality -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install chekusu/wanman artifact-quality --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/chekusu/wanman.git skills-src && mkdir -p .agents/skills && cp -r skills-src/packages/core/skills/artifact-quality .agents/skills/artifact-quality && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "artifact-quality" agent skill from https://github.com/chekusu/wanman/tree/main/packages/core/skills/artifact-quality into .agents/skills/artifact-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "artifact-quality", 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 chekusu/wanman --skill artifact-quality -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install chekusu/wanman artifact-quality --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/chekusu/wanman.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/packages/core/skills/artifact-quality .cursor/skills/artifact-quality && 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 "artifact-quality" agent skill from https://github.com/chekusu/wanman/tree/main/packages/core/skills/artifact-quality into .cursor/skills/artifact-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "artifact-quality", 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/chekusu/wanman.git --path packages/core/skills/artifact-quality--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 chekusu/wanman --skill artifact-quality -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install chekusu/wanman artifact-quality --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/chekusu/wanman.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/packages/core/skills/artifact-quality .gemini/skills/artifact-quality && 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 "artifact-quality" agent skill from https://github.com/chekusu/wanman/tree/main/packages/core/skills/artifact-quality into .gemini/skills/artifact-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "artifact-quality", 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 chekusu/wanman artifact-qualityInstalls 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 chekusu/wanman --skill artifact-quality -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/chekusu/wanman.git skills-src && mkdir -p .github/skills && cp -r skills-src/packages/core/skills/artifact-quality .github/skills/artifact-quality && 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 "artifact-quality" agent skill from https://github.com/chekusu/wanman/tree/main/packages/core/skills/artifact-quality into .github/skills/artifact-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "artifact-quality", 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 chekusu/wanman --skill artifact-quality -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install chekusu/wanman artifact-quality --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/chekusu/wanman.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/packages/core/skills/artifact-quality .opencode/skills/artifact-quality && 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 "artifact-quality" agent skill from https://github.com/chekusu/wanman/tree/main/packages/core/skills/artifact-quality into .opencode/skills/artifact-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "artifact-quality", 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
artifact-quality- GitHub stars
- 688
- Token cost
- ~519 tokens
- SKILL.md length
- 93 words
- Files
- 1
- Skills in repo
- 6
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Quality standards for structured deliverables, ensuring data is verifiable and traceable
- Works in 5 steps: Missing source: source is empty or just… → Inflated confidence: Estimated data… → Missing units: Amounts without currency,… → …
- SKILL.md covers Required Fields, Source Identifier Format, Confidence Scoring Guide and Cross-Validation, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Artifact Quality is an agent skill from chekusu/wanman. Quality standards for structured deliverables, ensuring data is verifiable and traceable
Its SKILL.md is about 520 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: wanman is an open-source agent matrix runtime inspired by Japanese one-man trains. It lets human users step back into an observer role while local agent runtimes coordinate… The licence is Apache-2.0.
Example prompts
- “/artifact-quality”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Missing source: source is empty or just says "internet"
- Inflated confidence: Estimated data labeled 0.9+
- Missing units: Amounts without currency, areas without units
- Vague timing: No data collection date specified
- Inconsistent paths: path does not follow a consistent naming convention
What it can do on your machine
Read from SKILL.md and the folder at commit d3a8138. 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 (its code samples are bash).
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
Artifact Quality loads about 519 tokens when it runs. Until then it costs about 26 tokens; SKILL.md has 93 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); files beside SKILL.md are not scanned.
SKILL.md
The full file from chekusu/wanman at commit d3a8138, republished under its Apache-2.0 licence (© chekusu). 93 words, ~519 tokens.
Download SKILL.mdSave it as
.claude/skills/artifact-quality/SKILL.md (or your agent's skills folder).- name
- artifact-quality
- description
- Quality standards for structured deliverables, ensuring data is verifiable and traceable
Artifact Quality Standards
Required Fields
Every artifact's metadata must include:
| Field | Type | Description |
|---|---|---|
source | string | Data source identifier |
confidence | number (0-1) | Confidence score |
Source Identifier Format
training_data → From model training data (lowest confidence)
estimate → Extrapolated from known data
web_search:<domain> → Web search result, specify the domain
government_data → Official government data
industry_report → Industry report
api:<service> → API call result
cross_validated → Cross-validatedConfidence Scoring Guide
0.9+ → Official data, multi-source validated
0.7-0.9 → Reliable source, single validation
0.5-0.7 → Web search result, not cross-validated
0.3-0.5 → Extrapolation/estimate with reasonable basis
0.1-0.3 → Training data or rough estimateCross-Validation
When the CEO or another agent validates an artifact, update the metadata:
wanman artifact put --kind market_data --path "competitors/pricing" \
--meta '{"source":"cross_validated","confidence":0.85,"verified":true,"verified_by":"ceo","verified_at":"2024-01-15","original_source":"web_search:dianping.com","validation_notes":"consistent with Meituan data"}'Common Quality Issues
- Missing source:
sourceis empty or just says "internet" - Inflated confidence: Estimated data labeled 0.9+
- Missing units: Amounts without currency, areas without units
- Vague timing: No data collection date specified
- Inconsistent paths:
pathdoes not follow a consistent naming convention
Path Naming Convention
costs/{category}/{item} → Cost data
revenue/{scenario}/{period} → Revenue forecasts
competitors/{name}/{metric} → Competitor data
market/{segment}/{metric} → Market data
location/{area}/{metric} → Location data© chekusu, 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
Just SKILL.md in packages/core/skills/artifact-quality of chekusu/wanman.
Open the folder on GitHubat commit d3a8138
Compare with similar skills
Artifact Quality 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 |
|---|---|---|---|---|---|---|
| Artifact Quality this skillchekusu/wanman | 688 | — | ~519 | Automated safety check: Pass | Apache-2.0 | |
| Verify All DeliverablesHKUDS/OpenSpace | 7.8k | — | ~751 | Automated safety check: Pass | MIT | |
| Verify Thiscursor/plugins | 10k | 2 repos | ~693 | Automated safety check: Pass | None | |
| Verifyasgeirtj/system_prompts_leaks | 69k | — | ~3k | Automated safety check: Pass | CC0-1.0 | |
| Artifacts Buildernexu-io/open-design | 100k | — | ~347 | Automated safety check: Pass | Apache-2.0 | |
| Web Artifacts Builderanthropics/skills | 180k | 41 repos | ~769 | Automated safety check: Pass | Apache-2.0 |
Similar skills
- Official
Verify This
cursor/plugins
Verify a claim with fresh local evidence: restate it falsifiably, capture baseline and treatment, compare artifacts, and return VERIFIED, NOT VERIFIED, or INCONCLUSIVE.
Verify
asgeirtj/system_prompts_leaks
Verify that a code change actually does what it's supposed to by exercising it end-to-end and observing behavior — drive the affected flow, not just tests or typecheck.
Artifacts Builder
nexu-io/open-design
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui).
- Official
Web Artifacts Builder
anthropics/skills
Builds multi-component claude.ai HTML artifacts as a small React, TypeScript and Tailwind project, then bundles it into one shareable HTML file.
Verify Release
openclaw/openclaw
Verify regular or extended-stable OpenClaw releases against the exact publication surfaces, workflow identities, package provenance, smoke tests, and live Gateway behavior expected for that release…
More from chekusu/wanman
Artifact Naming
chekusu/wanman
Naming conventions for artifact kind and path, ensuring data can be aggregated and analyzed
Cross Validation
chekusu/wanman
CEO checks consistency of agent outputs during post-completion review
Research Methodology
chekusu/wanman
Methodology for market research and data collection, ensuring data quality and source traceability
Wanman CLI
chekusu/wanman
wanman CLI command reference — inter-agent communication, task management, artifact storage
Workspace Conventions
chekusu/wanman
File and output conventions for agent workspaces. An agent skill from chekusu/wanman.
Questions about Artifact Quality
What does Artifact Quality do?
Quality standards for structured deliverables, ensuring data is verifiable and traceable. Artifact Quality is an agent skill from chekusu/wanman.
How do I install Artifact Quality in Claude Code?
Run `npx skills add chekusu/wanman --skill artifact-quality -a claude-code`. Or copy the skill folder (packages/core/skills/artifact-quality in chekusu/wanman) into .claude/skills/artifact-quality in your project. Claude Code loads it when a task matches its description.
How do I install Artifact Quality in Codex?
Run `npx skills add chekusu/wanman --skill artifact-quality -a codex`. Or copy the skill folder (packages/core/skills/artifact-quality in chekusu/wanman) into .agents/skills/artifact-quality in your project. Codex loads it when a task matches its description.
Can I use Artifact Quality 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 chekusu/wanman --skill artifact-quality -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/artifact-quality, .gemini/skills/artifact-quality, .github/skills/artifact-quality and .opencode/skills/artifact-quality in your project.
What does Artifact Quality need to run?
SKILL.md names no scripts, command-line tools or credentials: Artifact Quality is instructions for the agent only.
Does Artifact Quality 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 Artifact Quality 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 Artifact Quality use?
Artifact Quality 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 Artifact Quality use?
About 519 tokens (SKILL.md is roughly 2.1k 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 Artifact Quality?
Skills that share tags, products or a category with Artifact Quality: Verify All Deliverables (HKUDS/OpenSpace, 7.8k stars), Verify This (cursor/plugins, 10k stars), Verify (asgeirtj/system_prompts_leaks, 69k stars) and Artifacts Builder (nexu-io/open-design, 100k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Artifact Quality?
chekusu (a GitHub organization) maintains it in chekusu/wanman, which has 688 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on June 14, 2026.
Source: chekusu/wanman on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.