Agent skill

Design Submission Check

by SeanJ1ang in SeanJ1ang/design-judge-skills

Audit a design-award submission package against the current official rules for a specific award cycle.

Apache-2.0Auto-check passedProduct & Project Management

Install Design Submission Check

skills CLI
$ npx skills add SeanJ1ang/design-judge-skills --skill design-submission-check -a claude-code

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

GitHub CLI
$ gh skill install SeanJ1ang/design-judge-skills design-submission-check --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/SeanJ1ang/design-judge-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/design-submission-check .claude/skills/design-submission-check && 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
design-submission-check
GitHub stars
712
Token cost
~2.8k tokens
SKILL.md length
1,230 words
Files
12 (incl. scripts, references)
Skills in repo
7
Repo updated
First seen
Licence
Apache-2.0

At a glance

Audit a design-award submission package against the current official rules for a specific award cycle.

  • Works in 7 steps: Lock the submission target → Verify and extract current rules → Inventory the package → …
  • A user asks for a pre-submission check
  • SKILL.md covers Purpose, Scope Boundary, Severity Model and User Interaction Contract, plus 5 more sections
  • Runs Python scripts from its folder; calls python

What it does

Design Submission Check is an agent skill from SeanJ1ang/design-judge-skills. Audit a design-award submission package against the current official rules for a specific award cycle. Check required materials and technical constraints, cross-material facts and claims, rights and disclosure risks, and final submission readiness. Use when a user asks for a pre-submission check, compliance review, missing-material audit, consistency check, or final go/no-go decision. Do not use this skill to choose an award, retrieve winners, judge the design itself, rewrite the whole entry, or give a legal…

Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including scripts and reference files (for example `README.md`, `README_EN.md` and `agents/openai.yaml`).

It sits in Product & Project Management, covering Regulatory compliance and Feature launches and release readiness. The repository describes itself as: Evidence-driven Agent Skills for design award research, evaluation, award matching, entry writing, and submission readiness. The licence is Apache-2.0.

When your agent uses it

  • A user asks for a pre-submission check
  • Compliance review
  • Missing-material audit
  • Consistency check

Example prompts

  • “/design-submission-check”

Requirements

  • Python 3

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Lock the submission target
  2. Verify and extract current rules
  3. Inventory the package
  4. Check completeness and technical compliance
  5. Check cross-material consistency and evidence integrity
  6. Screen rights and disclosure risks
  7. Run the final gate

What it can do on your machine

Read from SKILL.md and the folder at commit abf53e6. 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.

    Shell commands in SKILL.md call:

    • python

    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

Design Submission Check loads about 2.8k tokens when it runs, and up to ~5.3k if it reads all its reference files. Until then it costs about 139 tokens; SKILL.md has 1,230 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~139
When it runs · the whole SKILL.md, loaded when a task matches
~2.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.3k

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 SeanJ1ang/design-judge-skills at commit abf53e6, republished under its Apache-2.0 licence (© SeanJ1ang). 1,230 words, ~2,755 tokens.

Download SKILL.mdSave it as .claude/skills/design-submission-check/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.
name
design-submission-check
description
Audit a design-award submission package against the current official rules for a specific award cycle. Check required materials and technical constraints, cross-material facts and claims, rights and disclosure risks, and final submission readiness. Use when a user asks for a pre-submission check, compliance review, missing-material audit, consistency check, or final go/no-go decision. Do not use this skill to choose an award, retrieve winners, judge the design itself, rewrite the whole entry, or give a legal clearance opinion.

Design Submission Check

Purpose

Determine whether a concrete design-award submission package is complete, internally consistent, and ready to submit under the current official rules for one exact award, track, category, and cycle.

Return one of three decisions:

  • Ready: no Blocker or Important findings remain.
  • Conditionally ready: no Blocker remains, but one or more Important findings require attention.
  • Not ready: at least one Blocker remains.

Scope Boundary

  • Convert current official submission rules into a project-specific checklist.
  • Check required files, fields, declarations, and technical constraints.
  • Compare names, facts, claims, credits, metrics, and versions across materials.
  • Screen rights, permissions, confidentiality, personal-data, and disclosure risks.
  • Perform a final package-level audit and prioritize fixes.
  • Stop after the audit. Do not select the award, score design quality, redesign the project, or perform comprehensive copy-editing.

Use $design-award-match before this skill when the award, track, or category has not been selected. Route design-quality questions to design-evaluation and substantive redesign or rewriting to design-optimization when those skills are available.

Severity Model

Read references/checking-framework.md. Classify every finding:

  • Blocker: likely prevents submission, violates an explicit hard rule, invalidates eligibility, or leaves a mandatory item absent.
  • Important: materially weakens clarity, credibility, consistency, or rights readiness but is not a confirmed hard-rule failure.
  • Optimization: optional improvement that does not affect basic submission readiness.

Never hide an unresolved rule or unreadable file inside an overall percentage. The highest unresolved severity controls the final decision.

User Interaction Contract

Accept:

  • the exact award, track, category, and submission cycle;
  • official rule page, entry guide, or terms when supplied;
  • the submission files or a manifest describing them;
  • applicant, team, project, release, authorship, and rights facts relevant to the entry.

If the award, track/category, or cycle is missing, ask one concise question containing only the missing identifiers. If materials are incomplete, audit what is available and list everything that could not be checked; do not invent a pass.

Offer this template when the user asks how to use the skill:

text
Award / cycle: {exact award and year}
Track / category: {exact official names}
Official rules: {URL or attached guide, optional}
Applicant / team: {names, roles, organization, country or student status}
Submission materials: {attach files or provide paths}
Known third-party content: {images, fonts, music, data, trademarks, AI-generated content}
Requested mode: {full audit / technical check / consistency check / final check}

Audit Workflow

1. Lock the submission target

Record the exact award program, cycle, track, category, applicant type, submission stage, deadline, and official timezone. Do not combine requirements from different cycles, categories, or judging stages.

If the selected target appears inconsistent with the package, report it and refer category selection back to $design-award-match; do not silently change the target.

2. Verify and extract current rules

Read references/rule-evidence-policy.md. At request time, verify current official sources and create a requirement ledger containing:

  • mandatory and optional materials;
  • form fields and declarations;
  • accepted file types, counts, sizes, dimensions, aspect ratios, duration, word or character limits, and languages;
  • filename, anonymity, branding, caption, and credit rules;
  • applicant, authorship, release-window, prototype, and publication restrictions relevant to final submission;
  • rights, consent, AI-use, confidentiality, and disclosure requirements;
  • deadline with an absolute date and official timezone.

Attach an official URL and checked on date to each rule group. Search snippets and third-party summaries are discovery evidence only. When official sources conflict, the most specific current official terms control; report unresolved conflicts as Blockers.

3. Inventory the package

List every supplied file and form field. Assign each item to exactly one requirement ID and record its version, file type, size, technical metadata, language, and readable/openable status.

Use scripts/check_submission_manifest.py for deterministic checks when a local package or structured manifest is available. Prepare inputs using the schemas in examples/rules.example.json and examples/manifest.example.json.

powershell
python scripts/check_submission_manifest.py `
  --rules examples/rules.example.json `
  --manifest examples/manifest.example.json `
  --pretty

The script checks declared metadata and available filesystem facts. It does not replace opening documents, inspecting images, playing videos, or verifying portal behavior.

4. Check completeness and technical compliance

For each requirement, check:

  • presence and required count;
  • readable/openable state;
  • extension and actual format when detectable;
  • file size, dimensions, aspect ratio, resolution, duration, word or character count;
  • naming, language, anonymity, credits, and other explicit restrictions;
  • form fields, checkboxes, declarations, and signatures;
  • deadline and upload-stage compatibility.

Mark an unverified mandatory constraint Not checked, never Pass. Treat a required missing item or confirmed hard-limit failure as a Blocker.

5. Check cross-material consistency and evidence integrity

Read references/consistency-rights-checklist.md. Establish a canonical fact sheet, then compare every material against it:

  • project title, category, applicant, team, roles, organization, dates, and version;
  • problem, target user, primary function, workflow, technology, materials, and sustainability claims;
  • quantities, dimensions, performance, research results, impact metrics, and commercial status;
  • captions, labels, subtitles, voice-over, charts, citations, and credits.

Flag contradictions, unsupported superlatives, missing units, inconsistent denominators, obsolete versions, and claims that exceed the supplied evidence. Do not independently validate scientific or commercial truth unless authoritative evidence is supplied; state the verification limit.

Evaluate narrative only for submission integrity: required content coverage, logical continuity, comprehensibility, and agreement with evidence. Do not perform general stylistic polishing or rewrite the entire entry unless separately requested through the appropriate skill.

Show full SKILL.md (460 more words)Show less
6. Screen rights and disclosure risks

Check the provenance and declared permission status of photographs, illustrations, video, music, sound, fonts, icons, maps, datasets, research, code, trademarks, product imagery, personal information, and AI-generated or AI-assisted content.

Use only these statuses:

  • Cleared: the user supplies a credible ownership, license, consent, or permitted-use basis.
  • Pending: permission or required disclosure is being obtained.
  • Unknown: provenance or permission is not established.
  • Restricted: supplied terms appear incompatible with the intended submission use.

This is risk screening, not legal advice or a guarantee of non-infringement. Never mark content legally cleared from appearance alone. Escalate ambiguity in official terms or third-party licenses for qualified review.

7. Run the final gate

Follow references/output-template.md. Before declaring Ready, confirm:

  • all mandatory requirements have been mapped and checked;
  • every Blocker and Important finding has a disposition;
  • final versions are identifiable and no stale duplicate is in the upload set;
  • the portal-entry values match the final files when portal information is available;
  • the deadline and timezone are explicit;
  • a final archive or manifest can reproduce the intended upload set.

If portal behavior, payment, account permissions, or an upload preview cannot be accessed, state that this portion remains a user-executed check.

Decision Rules

  • Current official rules outrank templates, past-cycle guides, organizer emails without context, and third-party summaries.
  • Explicit hard-rule failures are Blockers even when the material is otherwise strong.
  • Missing evidence never becomes a pass by inference.
  • One issue receives one primary severity; cross-reference affected materials instead of duplicating it.
  • Do not use an average score to cancel a Blocker.
  • Rights Pending, Unknown, or Restricted cannot be reported as cleared.
  • A completed offline audit does not prove that the award portal accepted the upload.

Fallback Rules

  • If live official rules cannot be verified, use user-supplied official documents, label rule freshness, and do not return Ready for time-sensitive requirements.
  • If a file cannot be opened, report exactly which checks were impossible and classify mandatory unreadability as a Blocker.
  • If technical metadata cannot be measured, request the metadata or mark the constraint Not checked.
  • If only a partial package is supplied, return a partial audit and a missing-material list, not a final pass.
  • If official rights or AI-disclosure wording is ambiguous, quote minimally, link the rule, and label the issue for qualified review.

Compliance and Safety

  • Inspect only user-authorized files and public official pages.
  • Do not upload materials to an award portal, accept legal declarations, pay fees, or submit on the user's behalf without explicit authorization and an available approved workflow.
  • Do not expose confidential project content in external search queries.
  • Avoid reproducing or redistributing copyrighted submission content beyond what is necessary for the audit.
  • Treat personal data, unpublished designs, credentials, and application identifiers as sensitive.

Example Invocations

  • 使用 $design-submission-check,按照附件中的 iF 当届规则,对这个提交包进行完整终检。
  • 使用 $design-submission-check,只检查所有图片、PDF和视频的数量、格式、大小及命名是否合规。
  • 使用 $design-submission-check,核对表单、展板、说明文档和视频中的项目数据是否一致,并筛查授权风险。

© SeanJ1ang, 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 11 other files (scripts, references) in skills/design-submission-check of SeanJ1ang/design-judge-skills.

  • SKILL.md
  • README.md
  • README_EN.md
  • agents/openai.yaml
  • examples/manifest.example.json
  • examples/rules.example.json
  • references/checking-framework.md
  • references/consistency-rights-checklist.md
  • references/output-template.md
  • references/rule-evidence-policy.md
  • scripts/check_submission_manifest.py
  • tests/test_check_submission_manifest.py

Open the folder on GitHubat commit abf53e6

Compare with similar skills

Design Submission Check 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.

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Release ValidationMesh-LLM/mesh-llm3.5k—~2.6kAutomated safety check: PassApache-2.0
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Questions about Design Submission Check

What does Design Submission Check do?

Audit a design-award submission package against the current official rules for a specific award cycle. Design Submission Check is an agent skill from SeanJ1ang/design-judge-skills. Audit a design-award submission package against the current official rules for a specific award cycle.

When should I use Design Submission Check?

Design Submission Check fits situations like: A user asks for a pre-submission check; compliance review; missing-material audit; consistency check.

How do I install Design Submission Check in Claude Code?

Run `npx skills add SeanJ1ang/design-judge-skills --skill design-submission-check -a claude-code`. Or copy the skill folder (skills/design-submission-check in SeanJ1ang/design-judge-skills) into .claude/skills/design-submission-check in your project. Claude Code loads it when a task matches its description.

How do I install Design Submission Check in Codex?

Run `npx skills add SeanJ1ang/design-judge-skills --skill design-submission-check -a codex`. Or copy the skill folder (skills/design-submission-check in SeanJ1ang/design-judge-skills) into .agents/skills/design-submission-check in your project. Codex loads it when a task matches its description.

Can I use Design Submission Check 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 SeanJ1ang/design-judge-skills --skill design-submission-check -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/design-submission-check, .gemini/skills/design-submission-check, .github/skills/design-submission-check and .opencode/skills/design-submission-check in your project.

What does Design Submission Check need to run?

Going by SKILL.md and its folder, Design Submission Check needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Design Submission Check 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 Design Submission Check 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 Design Submission Check use?

Design Submission Check 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 Design Submission Check use?

About 2.8k tokens (SKILL.md is roughly 11k 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 2.5k tokens, read only when the agent opens those files.

What are the alternatives to Design Submission Check?

Skills that share tags, products or a category with Design Submission Check: Sealeap Fenghuang Amazon New Seller Launch Path (xjli360/sealeap-amazon-skills, 251 stars), .NET MAUI Release Readiness (dotnet/maui, 23k stars), Release Validation (Mesh-LLM/mesh-llm, 3.5k stars) and Final Release Review (openai/openai-agents-python, 30k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Design Submission Check?

SeanJ1ang (a GitHub user) maintains it in SeanJ1ang/design-judge-skills, which has 712 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on August 24, 2026.

Source: SeanJ1ang/design-judge-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.