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sepia

Skill Documents & Content Solid
Works inClaude Code
Solid Scanned — metadata only

Helps teams detect and remediate AI-generated text in documentation, content, and code comments—critical for maintaining authenticity, compliance, and user t…

De-AI writing skill for any Agent Skills-compatible agent (77+ via the Skills CLI), with native plugins for Claude Code, Codex, Grok Build, and Antigravity. Narrative-architecture repair for fiction, venue-matched rules for professional prose. Based on StoryScope (arXiv:2604.03136).

2,171 starsMIT (commercial OK)FreeQuick setup

Helps teams detect and remediate AI-generated text in documentation, content, and code comments—critical for maintaining authenticity, compliance, and user trust in enterprise communications.

Content teams and compliance officers managing mixed human-AI writing workflows requiring de-AI detection across documents and professional prose.

Claude Code Claude Cowork Claude Chat

https://github.com/Nanako0129/sepia

By Nanako0129

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd 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 Nanako0129/sepia

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:

Remove AI-generated patterns from a draft novel chapter and restore authentic narrative voice
CostFree

Trust Signals Auto-scanned

Stars2,171Last updated2026-09-05LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-09-05 · 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): 2,171 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.

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
4/5
Versatility
5/5
Reliability
3/5
Security
3/5
Overall score3.85 / 5.00 SolidEvaluatedSep 2026
Scored from trust signals (evidence-eval-v1): 2,171 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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