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REA-Reconstruction-Companion

Skill Productivity Usable
Works inClaude Code
Usable Scanned — metadata only

Enables teams to systematically reconstruct software systems using Resource-Event-Agent modeling, reducing ambiguity in legacy system analysis and improving …

Open-source, model-independent Agent Skill for evidence-based software reconstruction with REA. Optional integration, portable installer, and validation workflows.

118 starsMIT (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Enables teams to systematically reconstruct software systems using Resource-Event-Agent modeling, reducing ambiguity in legacy system analysis and improving handoff accuracy between teams.

Architecture teams modernizing legacy systems or managing complex knowledge transfer during staff transitions.

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https://github.com/ShadowSwaps/REA-Reconstruction-Companion

By ShadowSwaps

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install ShadowSwaps/REA-Reconstruction-Companion

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Validate software architecture against REA framework principles and identify gaps
CostFree

Trust Signals Auto-scanned

Stars118Contributors1Last updated2026-10-23LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-10-27 · scanner v1

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 66 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
  • Single maintainer. Consider the risk if this person stops maintaining the project.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score3.00 / 5.00 UsableEvaluatedOct 2026
Scored from trust signals (evidence-eval-v1): 66 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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