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Skills/design-creative/Drawio Reconstruction Skill

Drawio Reconstruction Skill

REVIEW · 70
Community indexed

Codex skill for reconstructing diagram images into editable Draw.io files

Downloads0
Stars16
Version1.0.0
Quality68/100 · Promising
Trust70/100 · Sandbox only
Audit81/100 · Needs review

Supply asset profile

Design and creative production

Design assets, images, video, audio, multimodal media, presentation, and creative production skills.

Browse track

Scenario

Design and creative

I need my agent to produce design assets, UI directions, presentations, or creative media workflows.

Agent fit

Claude Code + OpenAI Agents + CLI

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add sxy1499894281/drawio-reconstruction-skill

Maintenance

fresh

3d since push

Risk

Needs review

Low GitHub adoption signal

GitHub quality

16

68/100 quality · 78/100 trust

Coverage tags

DesignDesign and creativedesign-creativediagram-reconstructiondrawio

Review notes

Low GitHub adoption signal · Quality score needs review

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Promising
68

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
70

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
81

Install readiness, security metadata, maintenance, and adoption risk.

Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

PythonCodexClaude CodeCursorOpenAgentSkill CLI

Stars

16 GitHub stars

Repo activity

16 stars, 2 forks

Maintenance

3d since push

License

MIT

Install

npx skills add sxy1499894281/drawio-reconstruction-skill

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 16 GitHub stars
  • Stars/forks activity: 16 stars, 2 forks; issue activity unavailable in current metadata

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Inspect repository metadata

Suited agents

PythonCodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Install decision

Command
npx skills add sxy1499894281/drawio-reconstruction-skill
Policy
review
Human review
yes

Trust and risk

Trust
70/100
Audit
81/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add sxy1499894281/drawio-reconstruction-skill
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 16 GitHub stars

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Agent safety v2

65/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • Low GitHub adoption signal

Install targets

Install this skill in your agent workflow

Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add sxy1499894281/drawio-reconstruction-skill

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Resolve JSON

/api/agent/resolve?task=Use%20Drawio%20Reconstruction%20Skill%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20Drawio%20Reconstruction%20Skill%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/sxy1499894281-drawio-reconstruction-skill/install

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Drawio Reconstruction Skill in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Drawio%20Reconstruction%20Skill%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/sxy1499894281-drawio-reconstruction-skill/install
Install command: npx skills add sxy1499894281/drawio-reconstruction-skill
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Install handoff

/api/skills/sxy1499894281-drawio-reconstruction-skill/install

LLM text format

/api/skills/sxy1499894281-drawio-reconstruction-skill/install?format=text

Find alternatives

/api/skills/search?q=Drawio%20Reconstruction%20Skill&limit=3

Agent prompt

Use Drawio Reconstruction Skill for this task. Review https://www.openagentskill.com/api/skills/sxy1499894281-drawio-reconstruction-skill/install, then install with: npx skills add sxy1499894281/drawio-reconstruction-skill

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Manifest

/api/registry/manifest/sxy1499894281-drawio-reconstruction-skill

LLM text

/api/registry/manifest/sxy1499894281-drawio-reconstruction-skill?format=text

Install alias

/api/registry/install/sxy1499894281-drawio-reconstruction-skill

Recommend

/api/registry/recommend?task=Use%20Drawio%20Reconstruction%20Skill%20in%20an%20agent%20workflow&limit=3

Agent fit

67/100

GitHub automation

Use-case tags

GitHub automationCoding agentsWorkflow automation

Platforms

Python, Claude Code, OpenAI Agents

Audit report

Needs review · 81/100

Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for GitHub automation

Prototype with this skill first; keep a fallback candidate ready.

67
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

GitHub automation

Trust label

Prototype first

Install path

Command ready

Use when

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 68/100 quality profile
  • 1 OpenAgentSkill engagement events

Review first

  • Low GitHub adoption signal

Implementation path

  1. 1Install it in a sandbox agent and run one GitHub automation task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

70
Trust score

GitHub adoption

FIX

16 GitHub stars

Stars/forks activity

FIX

16 stars, 2 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

3d since push

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 16 GitHub stars
  • Stars/forks activity: 16 stars, 2 forks; issue activity unavailable in current metadata
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

68
GitHub stars
16
Freshness
3d ago
Install ready
Yes
License
MIT
Check before install: Low GitHub adoption signal

Workflow fit

Use this skill in these scenarios

Manage repositories

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Build and ship code

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Automate repeated work

Workflow automation

I need my agent to automate a repeated workflow across tools and files.

Workflow fit

Add it to a complete workflow

Inspect, patch, and verify code

Coding review agent

A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.

Turn skills into distribution

Content growth agent

A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.

Design, build, test, and ship interfaces

Frontend and UI

A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.

Alternative shortlist

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Overview

<div align="center">

# Draw.io Reconstruction Skill

[English](README.md) | [中文](README.zh-CN.md)

**A Codex skill for reconstructing diagram images into editable Draw.io files, with examples strongly recommended to be reproduced using Codex + GPT-5.5 xhigh.**

[![arXiv](https://img.shields.io/badge/arXiv-2605.15677-b31b1b)](https://arxiv.org/abs/2605.15677) [![Dataset](https://img.shields.io/badge/HuggingFace-VCG--Bench-yellow)](https://huggingface.co/datasets/sxy1620348809/VCG-Bench)

</div>

This repository contains a Codex skill and helper scripts for converting reference diagram images into editable `.drawio` files. It is the practical reconstruction workflow used in the VCG-Bench release examples: an agent inspects a reference image, creates a visible-element inventory, rebuilds text and structure with Draw.io primitives, uses crops or SVG where appropriate, exports a PNG preview, and verifies the result. The bundled examples are packaged so others can reproduce them from the original PNG inputs. For faithful reproduction of the displayed examples, we strongly recommend using Codex + GPT-5.5 xhigh mode; weaker models or lower reasoning modes may not match the same visual fidelity.

The workflow uses two lightweight, independently reviewed repair loops. One clean Icon Producer prepares the icon set and a separate Icon Reviewer accepts or rejects it. Each FIX starts a fresh repair Producer on the current artifacts, followed by a fresh Reviewer. The complete reconstruction follows the same pattern. Review evidence is split into small `icons-review*.png` and `placement-review*.png` shards (at most eight icons each), with literal 1:1/2x views and surrounding source/final context. Reviewers must return one verdict per icon; Producers never accept their own work.

The companion benchmark repository is released at https://github.com/sxy1499894281/VCG-Bench.

## Recommended Reproduction Configuration

The example reconstructions in this repository are best reproduced

Platform Compatibility

pythonFULL

Technical Details

Version
1.0.0
License
MIT
Last Updated
7/22/2026
Published
7/22/2026

Frameworks & Tools

Python

Decision snapshot

Fallback candidate

67
Ready
Prototype
Stage

recent repository activity

Audit snapshot

Install review

Install and adoption review

81
Needs review
Security
87/100
Maintenance
100/100
Install
92/100
Open full auditOpen eval report

Agent-proven evidence

Agent Proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
—
Recent failure
—
Outcomes
0
Output quality
—
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Agent-Proven rankingOutcome contract

Install

Add to agent workflow

Free and open source. Review the audit before production use.

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

Scenario-led draft for Drawio Reconstruction Skill, ready for a manual X post.

Curator note
A good workflow skill turns repeated manual steps into something an agent can safely replay.

Drawio Reconstruction Skill helps agents move a repeatable workflow out of m...

16 stars

https://www.openagentskill.com/skills/sxy1499894281-drawio-reconstruction-skill?ref=x
#AIAgents
Open X draft
Optional reply with install command
Listing + install path for Drawio Reconstruction Skill:
https://www.openagentskill.com/skills/sxy1499894281-drawio-reconstruction-skill?ref=x

Install: npx skills add sxy1499894281/drawio-reconstruction-skill
Open reply draft

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
sxy1499894281
Source
sxy1499894281/drawio-reconstruction-skill
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This community indexed listing is attributed to sxy1499894281 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/sxy1499894281-drawio-reconstruction-skill?metric=listed&label=Listed)](https://www.openagentskill.com/skills/sxy1499894281-drawio-reconstruction-skill)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/sxy1499894281-drawio-reconstruction-skill?metric=trust&label=Trust)](https://www.openagentskill.com/skills/sxy1499894281-drawio-reconstruction-skill)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/sxy1499894281-drawio-reconstruction-skill?metric=audit&label=Audit)](https://www.openagentskill.com/skills/sxy1499894281-drawio-reconstruction-skill/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/sxy1499894281-drawio-reconstruction-skill?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/sxy1499894281-drawio-reconstruction-skill)
Preview badge Open audit Creator Kit

Author

S

sxy1499894281

@sxy1499894281

Tags

diagram-reconstructiondrawiocodex-skillcomputer-visionworkflow-automation

Platform Fit

Claude CodeOpenAI Agents

Health Signals

GitHub stars
16
Quality score
41/100
Last GitHub push
Jul 21, 2026
Framework hints
1
OpenAgentSkill views
1
Install copies
0
Outbound clicks
0

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

Sandbox only

70
  • GitHub adoption16 GitHub starsFIX
  • Stars/forks activity16 stars, 2 forks; issue activity unavailable in current metadataFIX
  • Recent maintenance3d since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS

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