Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/epicsagas/velith/loomnpx skills add epicsagas/Velith --skill loomgit clone --depth 1 https://github.com/epicsagas/VelithWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/epicsagas/velith/loom)<a href="https://agentmods.dev/skills/epicsagas/velith/loom"><img src="https://agentmods.dev/badge/skills/epicsagas/velith/loom.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00036 | $0.01963 |
| Opus 5 | $0.00018 | $0.00981 |
| Sonnet 5 | $0.00007 | $0.00393 |
| Haiku 4.5 | $0.00004 | $0.00196 |
Grade A, and why
loom scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Velith — AI-Native Publishing System
Overview
Build books like software. 6-phase pipeline from blank page to published book, with dedicated skills, agents, and quality gates at every stage.
Phase 0: Onboarding → Phase 1: Ideation → Phase 2: Outlining → Phase 3: Drafting → Phase 4: Editing → Phase 5: Publishing
Genre Support
| Genre | Key Differences | Reference File |
|---|---|---|
| Fiction | Plot structure (Save the Cat!/Snowflake), character bible, scene beats | book-fiction |
| Non-Fiction | Problem-solution structure, persona-driven, evidence hierarchy | book-nonfiction |
| Technical | Concept progression (novice→expert), code examples, diagrams, API docs | book-technical |
| Screenplay | 3-act + sequence method, dialogue/action, A/B story | book-screenplay |
| Poetry | Form-driven (sonnet/haiku/free verse), imagery systems, collection arc | book-poetry |
| Game | Quest trees, branching dialogue, lore bible, flag system | book-game |
| Academic | IMRAD, literature review, argument chains, citation practices | book-academic |
| Custom | Compose patterns from any genre via book-genre-creator |
book-genre-creator |
Phase Router
When /velith is invoked without arguments, detect current project state and route:
- No project exists → Run Phase 0 (Onboarding)
- Project exists, no outline → Run Phase 1 (Ideation)
- Outline exists, no drafts → Run Phase 2 (Outlining) validation, then Phase 3
- Drafts exist, incomplete → Continue Phase 3 (Drafting)
- All drafts complete → Run Phase 4 (Editing)
- Editing complete → Run Phase 5 (Publishing)
Detection: check for drafts/ directory, outline.md, STYLE.md, PRD.md in current project.
Phase Details
Phase 0: Onboarding (/velith onboard)
- Genre selection (fiction/non-fiction/technical/screenplay/poetry/game/academic/custom)
- Target audience definition
- Language selection
- Project directory setup
- Source material scan (existing notes, articles, code)
- Generate
STYLE.md(voice, tone, conventions) - Generate
PRD.md(book requirements)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 175 lines · 36 tokens per session scan A 28b727c21835
loom is a skill published in the GitHub repository epicsagas/Velith (33 stars, last pushed yesterday), licensed Apache-2.0. It adds 36 tokens to every session and 1,963 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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