silo: Skill for Claude Code

.agents/skills/silo-domain-modeling/SKILL.md

silo-domain-modeling is a skill for Claude Code, Codex from silo-code/silo. It costs 77 tokens per session (989 once invoked), scanned A, original, MIT.

A domain-modeling practice for Silo, a software product, that keeps the team's shared vocabulary and design decisions up to date. A domain model is a clear description of the important concepts in a product and how they relate.

In plain words
What is it for?
Use it when defining terms, testing naming choices against edge cases, designing features involving workspaces, panels, agents, worktrees, or keybindings, and recording decisions in the project's glossary, ADRs, or proposals.
Why use it?
It prevents developers from using vague or conflicting names for product concepts. Recording decisions as they are made makes later design and implementation work easier to understand.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is silo-code/silo's own configuration. It tells Claude Code and Codex how to work on silo itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything silo configures →

Reuse

Borrowing it

Nothing to install: this file belongs to silo-code/silo. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/silo-code/silo/main/.agents/skills/silo-domain-modeling/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/silo-code/silo

Made for: Claude Code, Codex.

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README.md
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Your own site · 80×15
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Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 989 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00077 $0.00989
Opus 5.5 $0.00031 $0.00396
Sonnet 5.5 $0.00015 $0.00198
Haiku 4.5 $0.00008 $0.00099

Measured 1mo ago against content hash 01e6ac8eb3df, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

silo-domain-modeling 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 1mo 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.

.agents/skills/silo-domain-modeling/SKILL.md · 98 lines

How it starts

The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Domain Modeling

Actively build and sharpen Silo's domain model as you design — not just read it. Challenging terms, inventing edge-case scenarios, and writing the glossary/decisions down the moment they crystallize is the active half of this skill; merely reading the docs below for vocabulary is a one-line habit any skill can do.

Where things live

  • docs/domain-language.md — the glossary. Ubiquitous language for the product: Workspaces, Navigator, Panels & Docking, Agents, Worktrees, Keybindings, and any other cluster of terms specific to Silo. Single file, single context — Silo doesn't split into bounded contexts, so there's no CONTEXT-MAP.md-style index to maintain.
  • docs/decisions/ (ADRs) — decisions already made. Read docs/decisions/README.md first for the ADR-vs-RFC test, numbering, and status vocabulary, and use docs/decisions/template.md for the format. Update the index table in README.md when adding one.
  • docs/proposals/ (RFCs) — forward-looking designs not yet decided. Read docs/proposals/README.md and use docs/proposals/template.md. Same index-update rule.

During the session

Challenge against the glossary

When a term conflicts with docs/domain-language.md, call it out immediately. "The glossary defines 'cancellation' as X, but you seem to mean Y — which is it?"

Sharpen fuzzy language

Propose a precise canonical term for vague or overloaded language. "You're saying 'active' — the Navigator's Active View, or a Dock's Active Panel? Those are deliberately different things here."

Discuss concrete scenarios

Stress-test domain relationships with specific, edge-case scenarios that force precision about the boundaries between concepts.

Cross-reference with code and existing docs

Check whether the code, and any existing ADR/RFC, agree with what's being stated. Surface contradictions rather than silently accepting them: "terminal-service.ts's focus() checks the live dock (ADR 0034), but you just described it checking activeWorkspaceId — which is current?"

Read the full file on GitHub · 98 lines

Changes

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.

  1. 1mo ago First seen · 98 lines · 77 tokens per session scan A 01e6ac8eb3df

Subscribe to this mod's changes

silo-domain-modeling is a skill published in the GitHub repository silo-code/silo (62 stars, last pushed today), licensed MIT. It adds 77 tokens to every session and 989 once invoked, about $0.0003 per session on Opus 5.5. 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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