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/stainless-code/codemap/domain-modelingnpx skills add stainless-code/codemap --skill domain-modelinggit clone --depth 1 https://github.com/stainless-code/codemapWhat 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 | $0.00049 | $0.00848 |
| Opus 5 | $0.00024 | $0.00424 |
| Sonnet 5 | $0.00010 | $0.00170 |
| Haiku 4.5 | $0.00005 | $0.00085 |
Grade A, and why
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 2d 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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Domain Modeling
Actively build and sharpen the project's domain model as you design. Reading docs/glossary.md for vocabulary is a one-line habit any skill can do — this skill is for when you're changing the model, not just consuming it.
Codemap deltas for this repo:
- No repo-root
docs/adr/— current decisions live indocs/architecture.md; closed history indocs/audits/<topic>.md; in-flight indocs/plans/<name>.md. Seedocs-governance. - Single canonical glossary —
docs/glossary.mdat the repo root (Tier B: one repo-wide surface, no per-feature subtrees). Seegrill-with-docs/ARTIFACTS.md.
File structure
/
├── docs/
│ ├── glossary.md ← canonical ubiquitous language (single)
│ ├── architecture.md ← current structural decisions
│ ├── audits/<topic>.md ← closed decisions
│ └── plans/<name>.md ← in-flight decisions
Create files lazily — only when you have something to write.
During the session (inline)
Challenge against the glossary
When the user uses a term that conflicts with docs/glossary.md, call it out immediately.
Sharpen fuzzy language
When the user uses vague or overloaded terms (e.g. "query" for both a cataloged recipe and ad-hoc SQL, or "file" for both a FileRow TS shape and the files SQLite table), propose a precise canonical term.
Discuss concrete scenarios
Stress-test domain relationships with specific edge-case scenarios (homonym symbols across files, recipe vs ad-hoc query drift, hub vs barrel ranking, fan-in vs fan-out impact direction).
Cross-reference with code
When the user states how something works, check whether the code agrees (src/db.ts, src/parser.ts, recipe loader, adapter layer). Surface contradictions — use codemap query for structural facts before Read/Grep.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago First seen · 68 lines · 49 tokens per session scan A e05f2fb983ba
domain-modeling is a skill published in the GitHub repository stainless-code/codemap (8 stars, last pushed 7d ago), licensed MIT. It adds 49 tokens to every session and 848 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 2026-08-31.
Other skills, from other repositories
roam
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analyze-usage
Use when asked to analyze codescout tool usage, check for error patterns, audit tool health, generate a usage report, spot anti-patterns, or clear usage statistics to start fresh.
m1nd-first
Use when investigating a repository, searching for implementation, reviewing changes, working from specs/docs, or preparing a risky code change in an environment where m1nd is available. This doctrine makes m1nd the first investigative layer before grep, glob, or manual file reads, except when the task is pure…
mcp-headless-test
Run live tests of the Ariadne MCP server using Claude Code in headless mode. Tests tool discovery, invocation, and filtering. Use when validating MCP server changes or checking integration with Claude Code.
mcp-analytics
Check Ariadne MCP tool usage analytics — session counts, tool call stats, durations, and error rates.
release
Prepare a new release of Ariadne packages. Creates changesets, verifies build/tests, and drafts the PR to main.