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/beel-collab/presets.dev/ddd-context-mappingnpx skills add beel-collab/presets.dev --skill ddd-context-mappinggit clone --depth 1 https://github.com/beel-collab/presets.devWrote 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/beel-collab/presets.dev/ddd-context-mapping)<a href="https://agentmods.dev/skills/beel-collab/presets.dev/ddd-context-mapping"><img src="https://agentmods.dev/badge/skills/beel-collab/presets.dev/ddd-context-mapping.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 | $0.00016 | $0.00307 |
| Opus 5 | $0.00008 | $0.00153 |
| Sonnet 5 | $0.00003 | $0.00061 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
ddd-context-mapping 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 3d 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.
What it actually says
DDD Context Mapping
Use this skill when
- Defining integration patterns between bounded contexts.
- Preventing domain leakage across service boundaries.
- Planning anti-corruption layers during migration.
- Clarifying upstream and downstream ownership for contracts.
Do not use this skill when
- You have a single-context system with no integrations.
- You only need internal class design.
- You are selecting cloud infrastructure tooling.
Instructions
- List all context pairs and dependency direction.
- Choose relationship patterns per pair.
- Define translation rules and ownership boundaries.
- Add failure modes, fallback behavior, and versioning policy.
If detailed mapping structures are needed, open references/context-map-patterns.md.
Output requirements
- Relationship map for all context pairs
- Contract ownership matrix
- Translation and anti-corruption decisions
- Known coupling risks and mitigation plan
Examples
Use @ddd-context-mapping to define how Checkout integrates with Billing,
Inventory, and Fraud contexts, including ACL and contract ownership.
Limitations
- This skill does not replace API-level schema design.
- It does not guarantee organizational alignment by itself.
- It should be revisited when team ownership 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.
- 3d ago First seen · 53 lines · 16 tokens per session scan A 20788868777a
ddd-context-mapping is a skill published in the GitHub repository beel-collab/presets.dev (2 stars, last pushed 3mo ago), licensed MIT. It adds 16 tokens to every session and 307 once invoked, about $0.0001 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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