Borrowing it
Nothing to install: this file belongs to InteliGHQ/intelig-agent-playbook. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/InteliGHQ/intelig-agent-playbook/main/.claude/skills/ddd-review/SKILL.mdgit clone --depth 1 https://github.com/InteliGHQ/intelig-agent-playbookWrote 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/intelighq/intelig-agent-playbook/ddd-review)<a href="https://agentmods.dev/skills/intelighq/intelig-agent-playbook/ddd-review"><img src="https://agentmods.dev/badge/skills/intelighq/intelig-agent-playbook/ddd-review/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/intelighq/intelig-agent-playbook/ddd-review"><img src="https://agentmods.dev/badge/skills/intelighq/intelig-agent-playbook/ddd-review.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00094 | $0.00755 |
| Opus 5.5 | $0.00038 | $0.00302 |
| Sonnet 5.5 | $0.00019 | $0.00151 |
| Haiku 4.5 | $0.00009 | $0.00076 |
Grade A, and why
ddd-review 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 2mo 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 — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DDD review
Reviews a bounded context (or a diff within one) against the DDD/CQRS standards. It does the
deterministic part with a bundled script, then points you at the judgment part — the
manual-review tier — that no script or fitness test can decide.
This skill composes: the code-reviewer subagent can invoke it for the DDD-specific pass and fold
the findings into its verdict. The skill packages the procedure + checks; the subagent provides
the delegated worker that returns a verdict; the standards provide the rules; fitness tests
provide the hard wall. Different jobs — they stack.
When to use
- Reviewing a change inside
src/<context>/…. - The
code-reviewersubagent wants a focused DDD pass.
When NOT to use
- For rules a fitness test already walls off (no public constructor, deps point inward). Those
should fail the build, not wait for a review. If you keep catching one here, promote it with
the
fitness-testskill.
The deterministic pass (bundled)
Run check.sh [path] (defaults to src/). It greps for the common, scriptable violations and
prints candidates by rule ID:
- DOM-002 — a domain model with a non-
privateconstructor (should be created via a static factory). - DOM-004 — a
setX(...)setter on a domain model (mutate via intent methods that emit events). - ARCH-001/004 — files under
domain/importing fromapi/,infrastructure/, or a framework/ORM. - API-001 — files under
api/importing adomain/type directly.
It's string-level and intentionally simple, so treat hits as leads, not proof — and a clean run doesn't mean compliant. (For a real gate, back these with the architecture fitness tests.)
The judgment pass (you / the reviewer)
These can't be greped — read the code and decide:
- DOM-001 — is the invariant enforced in the aggregate, or did it leak into a handler/service?
- DOM-005 — does one command touch exactly one aggregate?
- CQRS-004 — do queries read from a projection, not rehydrate aggregates?
- API-002/003 — DTOs at the boundary; errors mapped centrally (not scattered try/catch).
- Over-engineering — abstractions/patterns the spec didn't ask for (itself a finding).
What ships with it
1 file 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.
- 2mo ago First seen · 51 lines · 94 tokens per session scan A 50a0910db72d
ddd-review is a skill published in the GitHub repository InteliGHQ/intelig-agent-playbook (2 stars, last pushed 4mo ago), licensed MIT. It adds 94 tokens to every session and 755 once invoked, about $0.0004 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 2026-08-31.
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