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/bdiasti/maestro-bundle-cli/ddd-tacticalnpx skills add bdiasti/maestro-bundle-cli --skill ddd-tacticalgit clone --depth 1 https://github.com/bdiasti/maestro-bundle-cliWrote 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/bdiasti/maestro-bundle-cli/ddd-tactical)<a href="https://agentmods.dev/skills/bdiasti/maestro-bundle-cli/ddd-tactical"><img src="https://agentmods.dev/badge/skills/bdiasti/maestro-bundle-cli/ddd-tactical.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 5.1 | $0.00046 | $0.01562 |
| Opus 5 | $0.00023 | $0.00781 |
| Sonnet 5 | $0.00009 | $0.00312 |
| Haiku 4.5 | $0.00005 | $0.00156 |
Grade A, and why
ddd-tactical scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DDD Tactical Patterns
Implement Domain-Driven Design tactical patterns including Entities, Value Objects, Aggregates, Domain Events, Repositories, and Domain Services.
When to Use
- When modeling domain entities with rich behavior
- When creating value objects for validated types
- When defining aggregate boundaries and invariants
- When implementing domain events for cross-aggregate communication
- When business logic spans multiple entities (Domain Services)
Available Operations
- Create Value Objects with validation
- Create Entities with identity and behavior
- Define Aggregates with invariant protection
- Implement Domain Events
- Create Domain Services for cross-entity logic
Multi-Step Workflow
Step 1: Identify Value Objects
Value Objects are immutable, compared by value, and contain self-validation.
@dataclass(frozen=True)
class Email:
value: str
def __post_init__(self):
if not re.match(r'^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$', self.value):
raise InvalidEmailException(self.value)
@dataclass(frozen=True)
class ComplianceScore:
value: float
def __post_init__(self):
if not 0 <= self.value <= 100:
raise ValueError("Score must be between 0 and 100")
def is_passing(self) -> bool:
return self.value >= 80.0
def __str__(self) -> str:
return f"{self.value:.1f}%"
Step 2: Create Entities
Entities have unique identity, are mutable, and contain behavior.
class Task:
def __init__(self, id: TaskId, description: str, agent_type: AgentType):
self._id = id
self._description = description
self._agent_type = agent_type
self._status = TaskStatus.PENDING
self._started_at: datetime | None = None
self._completed_at: datetime | None = None
def start(self) -> None:
if self._status != TaskStatus.PENDING:
raise TaskNotPendingException(self._id)
self._status = TaskStatus.IN_PROGRESS
self._started_at = datetime.now()
def complete(self, result: TaskResult) -> None:
if self._status != TaskStatus.IN_PROGRESS:
raise TaskNotInProgressException(self._id)
self._status = TaskStatus.COMPLETED
self._completed_at = datetime.now()
@property
def duration(self) -> timedelta | None:
if self._started_at and self._completed_at:
return self._completed_at - self._started_at
return None
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.
- 5d ago First seen · 208 lines · 46 tokens per session scan A 7bcf59040f14
ddd-tactical is a skill published in the GitHub repository bdiasti/maestro-bundle-cli (21 stars, last pushed 5mo ago), licensed MIT. It adds 46 tokens to every session and 1,562 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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