design-submission-check
Audit a design-award submission package against the current official rules for a specific award cycle.
Skill by SeanJ1ang
Chalk Labs
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About
Use cases: design, security, legal
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
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- Secrets
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- Install scripts
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- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/design-submission-check
What's inside
- Skill 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.
- License
- Apache-2.0
- Instructions
- 180 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (12)
- README.md
- README_EN.md
- SKILL.md
- openai.yaml · agents/
- manifest.example.json · examples/
- rules.example.json · examples/
- checking-framework.md · references/
- consistency-rights-checklist.md · references/
- output-template.md · references/
- rule-evidence-policy.md · references/
- check_submission_manifest.py · scripts/
- test_check_submission_manifest.py · tests/
SKILL.md (first lines)
# 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](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](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](examples/rules.example.json) and [examples/manifest.example.json](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](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.From SeanJ1ang/design-judge-skills, Apache-2.0.
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Signals
- Stars
- 712
- Forks
- 102
- Open issues
- 0
- Last commit (this folder)
- Jul 20, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/SeanJ1ang/design-judge-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from SeanJ1ang
- 0.773score
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Route and coordinate an end-to-end design-award workflow across winner research, evidence-based evaluation, award matching, entry-text preparation, and final…
SkillBFreshness: B★ 712Claude Code +9 - 0.773score
design-award-search
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Find and verify award-winning designs in the same or adjacent functional category through eight explicit relevance dimensions: problem and user, core…
SkillBFreshness: B★ 712Claude Code +9 - 0.773score
design-evaluation
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SkillBFreshness: B★ 712Claude Code +9 - 0.758score
design-judge-shared
SeanJ1ang
Shared support package for the Design Judge skill collection.
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design-submission-check skill. Agent Mart. https://agentmart.dev/skills/seanj1ang-design-submission-check (last updated 2026-10-24)