Nanako0129/sepia – De‑AI Writing Skill for Agent‑Compatible LLMs
sepia is a portable Agent Skill that repairs narrative architecture and applies venue‑matched rules to fiction and professional prose, installable with a single command for 77+ agents. 2,933 GitHub stars in 36 days since nanako0129/sepia was created (82.5/day). 1 source across 1 channel. Automatically detected; not y
37Fact cited ·Analysis our interpretation ·Estimate forward-looking · [n] links to the source
5 claims drafted by openai/gpt-oss-20b were kept because each quote was found verbatim in its source; 1 unverifiable claim was discarded. Statements marked AI await human review.
What happened
- Fact sepia is a portable Agent Skill compatible with any agent that speaks the standard and can be installed via the Skills CLI with one command.[1]AI
any agent that speaks the standard can load it, and the Skills CLI, which supports 77+ agents, installs it with one command.
- Fact sepia includes native plugin packaging for Claude Code, Codex, Grok Build, Antigravity, and QwenPaw.[1]AI
Claude Code, Codex, Grok Build, Antigravity, and QwenPaw additionally get native plugin packaging.
- Fact sepia repairs narrative architecture before word choice and applies venue‑matched rules for professional prose.[1]AI
Fiction gets its narrative architecture repaired before anyone touches word choice; professional documents (release notes, PR replies, postmortems, tickets, technical articles) each get rules matched to their venue.
- Fact sepia offers four operations: write, review (diagnose only), refactor (minimal edits), and recreate (full rewrite).[1]AI
Four operations: write, review (diagnose only), refactor (minimal edits), recreate (full rewrite).
- Fact sepia’s diagnostic rubric uses 30 narrative‑structure features and per‑model fingerprints across two layers.[1]AI
A 30-feature diagnosis rubric and per-model fingerprints across two layers apply when the writing or executing model is known
- Fact The GitHub repository nanako0129/sepia was created on 28 Aug 2026 and had 2,933 stars on 2 Oct 2026.[1]
- Fact Its description reads: “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:2604.031…”[1]
- Fact That is 2,933 stars in 36 days, an average of 82.5 per day.[1]
Why it matters
- Analysis Install the sepia skill via the Skills CLI, use the native plugins for supported LLMs, and apply the provided operations to improve narrative structure and professional prose.AI
- Analysis Automatically detected from public activity data. Not yet reviewed by an analyst.
Should I care?
What changed?
- Fact sepia is a portable Agent Skill compatible with any agent that speaks the standard and can be installed via the Skills CLI with one command.[1]AI
any agent that speaks the standard can load it, and the Skills CLI, which supports 77+ agents, installs it with one command.
- Fact sepia includes native plugin packaging for Claude Code, Codex, Grok Build, Antigravity, and QwenPaw.[1]AI
Claude Code, Codex, Grok Build, Antigravity, and QwenPaw additionally get native plugin packaging.
Who is affected?
- Analysis Software developers building or integrating AI agents that require human‑like writing or editing capabilities.AI
What can developers do with it?
- Analysis Install the sepia skill via the Skills CLI, use the native plugins for supported LLMs, and apply the provided operations to improve narrative structure and professional prose.AI
Is it production-ready?
Insufficient evidence
Analysis Not assessed.
What would make it important?
Not yet assessed.
What could prevent adoption?
Not yet assessed.
Technical change
- Fact sepia is a portable Agent Skill compatible with any agent that speaks the standard and can be installed via the Skills CLI with one command.[1]AI
any agent that speaks the standard can load it, and the Skills CLI, which supports 77+ agents, installs it with one command.
- Fact sepia includes native plugin packaging for Claude Code, Codex, Grok Build, Antigravity, and QwenPaw.[1]AI
Claude Code, Codex, Grok Build, Antigravity, and QwenPaw additionally get native plugin packaging.
- Fact sepia repairs narrative architecture before word choice and applies venue‑matched rules for professional prose.[1]AI
Fiction gets its narrative architecture repaired before anyone touches word choice; professional documents (release notes, PR replies, postmortems, tickets, technical articles) each get rules matched to their venue.
- Fact sepia offers four operations: write, review (diagnose only), refactor (minimal edits), and recreate (full rewrite).[1]AI
Four operations: write, review (diagnose only), refactor (minimal edits), recreate (full rewrite).
- Fact sepia’s diagnostic rubric uses 30 narrative‑structure features and per‑model fingerprints across two layers.[1]AI
A 30-feature diagnosis rubric and per-model fingerprints across two layers apply when the writing or executing model is known
Architecture
No architecture has been documented for this signal.
Developer impact
Developer implications have not been assessed yet.
Difficulty has not been estimated yet.
Adoption & momentum
No adoption indicators recorded.
Timeline
First seen by the Astrava pipeline[1]
Limitations & risks
- Analysis Generated from activity metrics only; verify the linked sources before acting on it.
Competing approaches
No competing approaches documented yet.
Who is building on it
No independent projects or organisations are documented as building on this yet.
Evidence & sources
Primary source (1)
Published by the people who built it: release notes, repositories, papers, official docs.
- [1]Nanako0129/sepia repository(opens in a new tab)
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:2604.031…
Secondary source (0)
Independent reporting, third-party benchmarks, integrations by other projects.
None recorded.
Community signal (0)
Discussion threads and social posts. Evidence of attention, not of correctness.
None recorded.
How the score of 37 was calculated
| Factor | Share of maximum | Points |
|---|---|---|
| NoveltyRubric level 2/4 (Moderate). Heuristic (automated): first published 36 days ago. | 7.5/15 | |
| Technical significanceNot yet assessed. Requires analyst review; not assessed automatically. | 0/15 | |
| Developer relevanceRubric level 3/4 (High). AI-assisted (openai/gpt-oss-20b), pending human review: Directly usable by developers via a single‑command installation and native plugins for popular LLMs, enabling immediate integration into existing agent workflows. Evidence: “any agent that speaks the standard can load it, and the Skills CLI, which supports 77+ agents, installs it with one command.” | 11.3/15 | |
| Adoption velocityIndependent integrations: unknown (0 pts). GitHub stars: 82.5 per day since creation; full marks at 1000/day, log-scaled (3.2/5). | 3.2/10 | |
| Community momentumFewer than three periods of activity data, or no baseline activity to compare against. | 0/10 | |
| Source credibilityPrimary source present; mean source-tier weight 1.00 (primary 1.0, secondary 0.7, community 0.35). | 10/10 | |
| Cross-source confirmationNo independent publisher has confirmed this yet. | 0/10 | |
| Evidence strengthMet 2/4: primary source ✓, runnable artifact (code, weights or package) ✓, reproducible or independent benchmark ?, technical documentation or paper ✗. 1 unknown (scored 0). | 5/10 | |
| Time to impactNo time-to-impact estimate yet. | 0/5 | |
| Hype penaltyNo hype indicators detected. | 0 | |
| Breakout Score | 37 |
Low confidence (0.48) — 60% of measured factors have data. 0 independent non-community publishers. At least one primary source. Evidence strength 5/10. Capped at Low: no independent, non-community source yet.
An analytical ranking derived from observable signals using model breakout-v1.2. It is not a prediction and not a measure of quality. How it works