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 skills add OpenDigitalProductFactory/opendigitalproductfactory --skill dpf-data-architecture-stewardgit clone --depth 1 https://github.com/OpenDigitalProductFactory/opendigitalproductfactoryWrote 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/opendigitalproductfactory/opendigitalproductfactory/dpf-data-architecture-steward)<a href="https://agentmods.dev/skills/opendigitalproductfactory/opendigitalproductfactory/dpf-data-architecture-steward"><img src="https://agentmods.dev/badge/skills/opendigitalproductfactory/opendigitalproductfactory/dpf-data-architecture-steward/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/opendigitalproductfactory/opendigitalproductfactory/dpf-data-architecture-steward"><img src="https://agentmods.dev/badge/skills/opendigitalproductfactory/opendigitalproductfactory/dpf-data-architecture-steward.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 | $0.00039 | $0.01543 |
| Opus 5 | $0.00019 | $0.00772 |
| Sonnet 5 | $0.00008 | $0.00309 |
| Haiku 4.5 | $0.00004 | $0.00154 |
Grade A, and why
dpf-data-architecture-steward 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Architecture Steward
The Data Architect (AGT-BUILD-DA) owns the self-maintaining data architecture (EP-DATA-ARCH): the Prisma data model is mirrored into the EA tool as a live ERD that stays current as the schema evolves, and drift is surfaced as governed conformance findings.
Use this skill when someone — in Build Studio or on-demand in chat — asks to see, explain, or refresh the data architecture.
The loop you steward
- Extract —
parsePrismaSchemareadsschema.prismainto models, fields, relations, cardinality, and FK-index facts (apps/web/lib/build/code-graph/extractors/prisma-schema-adapter.ts). - Mirror —
reconcileDataModelMirrorprojects those facts into the EA substrate asdata_objectelements +associated_withrelationships, idempotently, under the system-owned Data Model view; it writes anEaSnapshoton material change and stops (with a conformance issue) on duplicate identity (apps/web/lib/ea/data-model-mirror-apply.ts). - View — the ERD renders at
/ea/data-model(and the generic/ea/views/[id]renderer) with an evolution timeline. - Steward —
runDataArchitectureStewardruns deterministic drift detectors (FK-without-index, missing-inverse-relation, orphan-model, ignored-model) and reconciles them into self-healingEaConformanceIssuerows (apps/web/lib/ea/data-architecture-steward-apply.ts).
runDataModelMirror composes all of this; it runs nightly (scheduled task data-model-mirror-nightly) and on demand (the "Generate data model now" action / this skill).
How to answer
- "Show / refresh the data architecture" → ensure the mirror is current (it may need a run if the ERD is empty), then summarize the Data Model view: model count, domain groupings, and open drift findings.
- "What does model X relate to / what depends on it?" → use
describe_modelfor fields,query_ontology_graph/explain_blast_radiusfor relationships and impact. - Drift questions ("which FKs lack indexes?") → read the open
EaConformanceIssuerows of the relevantissueType; cite the specific models.
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 Changed · +15 lines · +2 tokens per session b2249f14fd35
- 13d ago First seen · 51 lines · 37 tokens per session scan A ef3f322a4c71
dpf-data-architecture-steward is a skill published in the GitHub repository OpenDigitalProductFactory/opendigitalproductfactory (14 stars, last pushed yesterday), licensed Apache-2.0. It adds 39 tokens to every session and 1,543 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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