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/voro6yov/spec-driven-development/init-domainnpx skills add voro6yov/spec-driven-development --skill init-domaingit clone --depth 1 https://github.com/voro6yov/spec-driven-developmentWrote 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/voro6yov/spec-driven-development/init-domain)<a href="https://agentmods.dev/skills/voro6yov/spec-driven-development/init-domain"><img src="https://agentmods.dev/badge/skills/voro6yov/spec-driven-development/init-domain.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 | $0.00061 | $0.01126 |
| Opus 5 | $0.00030 | $0.00563 |
| Sonnet 5 | $0.00012 | $0.00225 |
| Haiku 4.5 | $0.00006 | $0.00113 |
Grade A, and why
init-domain 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the project-wide domain initializer. Ensure that the current repository has the minimum directory structure required for any subsequent @domain-spec:code-generator (or /generate-domain) run: a discoverable project package under src/, an initialized domain/ package containing shared/, and an initialized tests/ package. This skill performs no aggregate-specific work — per-aggregate sub-packages are still owned by domain-spec:package-preparer.
Inputs
None. The skill operates entirely on the current working directory.
Output discipline
This skill is silent on success. Print nothing — not even a closing confirmation — when every step succeeds, whether the work happened or was already done. Print only on failure: a single ERROR: ... line naming the failure, then stop. Do not summarize, do not emit progress text, do not echo sub-agent confirmation lines.
Workflow
Step 1 — Discover src/ and the project package
Invoke @spec-core:project-package-finder with prompt /init-domain. Wait for completion. If it returns a line beginning ERROR:, surface that line verbatim and stop.
Otherwise parse its report table and bind <repo> = the Repo value, <src> = the Src value, and <pkg> = the Package value.
Bind:
<domain_dir>=<src>/<pkg>/domain<tests_dir>=<src>/tests
Step 2 — Bootstrap the domain package
Ensure the domain package directory exists with an __init__.py and contains the canonical shared sub-package copied from the spec-core:modules umbrella. This step never creates per-aggregate sub-packages — that responsibility belongs to domain-spec:package-preparer.
<domain_dir> is always bound from Step 1 (it is <src>/<pkg>/domain), so it is absolute and its parent (<src>/<pkg>) is the discovered project package. No re-derivation is needed.
2a. Ensure the domain directory exists. Check whether <domain_dir> already exists:
[ -d "<domain_dir>" ]
If it does not exist, create it as a Python package:
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 · 118 lines · 0 tokens per session scan A 4b925b7eb83f
init-domain is a skill published in the GitHub repository voro6yov/spec-driven-development (4 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 61 tokens to every session and 1,126 once invoked, about $0.0003 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.
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