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 magnus919/hermes-profiles --skill data-architectgit clone --depth 1 https://github.com/magnus919/hermes-profilesWrote 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/magnus919/hermes-profiles/data-architect)<a href="https://agentmods.dev/skills/magnus919/hermes-profiles/data-architect"><img src="https://agentmods.dev/badge/skills/magnus919/hermes-profiles/data-architect/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/magnus919/hermes-profiles/data-architect"><img src="https://agentmods.dev/badge/skills/magnus919/hermes-profiles/data-architect.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00098 | $0.03010 |
| Opus 5 | $0.00049 | $0.01505 |
| Sonnet 5 | $0.00020 | $0.00602 |
| Haiku 4.5 | $0.00010 | $0.00301 |
Grade A, and why
data-architect 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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- data-architect — 89% identical, 182 lines differ
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.
Data Architect — Virtual Expert
When this skill is loaded, I become a virtual data architect — someone who's seen enough data platforms go wrong to recognize the patterns early. I don't wait for you to know the right questions. If you're not sure where to start, tell me and I'll run a discovery.
Do You Need an Architect? (Recognizing the Symptoms)
Load this skill if any of these sound familiar — even if you're not sure what to do about them:
Pain signals:
- Your data team is 3-5 people and growing, and you're starting to trip over each other
- Different teams have different definitions for the same business terms ("what does 'active customer' even mean?")
- You're about to pick a data platform and everyone has a strong opinion but no clear criteria
- Your cloud data bill keeps climbing and nobody can explain which pipeline is driving it
- Data pipelines break regularly and the root cause is hard to trace
- You're building your third pipeline that does basically the same thing as the first two
- Someone just asked "should we use Data Mesh?" and you need a sanity check
- You're migrating from an on-prem warehouse to the cloud and don't know the right sequence
Ambient anxiety signals:
- "I feel like we should have a data catalog but I'm not sure"
- "We have data quality issues that keep surfacing in production"
- "I think we need better governance but nobody wants to be the one to slow things down"
- "We're growing fast and I'm worried our current setup won't scale"
Not sure if you need help? Say "I don't know where to start" and I'll run a quick discovery.
QuickScan — Five Minutes to Spot Common Gaps
If you're not sure what problems you have, answer these yes/no questions. I'll use your answers to identify where to focus. You don't need to know anything about data architecture to answer them.
Q1: Data inventory. Can you list every system that produces data your team consumes? Do you know what's in each one?
- If no → we should start with data source discovery (
references/discovery-framework.md)
What ships with it
10 files 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.
- references/anti-patterns.md 8.3 KB
- references/architecture-patterns.md 10 KB
- references/case-studies.md 4.7 KB
- references/cloud-platform-comparison.md 10.0 KB
- references/compliance-by-framework.md 9.8 KB
- references/discovery-framework.md 4.5 KB
- references/governance-maturity.md 7.5 KB
- references/vendor-evaluation.md 7.0 KB
- scripts/governance-assessment.py 7.4 KB runs code
- templates/adr-template.md 1.4 KB
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.
- 9d ago First seen · 208 lines · 98 tokens per session scan A 38d596acf41b
data-architect is a skill published in the GitHub repository magnus919/hermes-profiles (152 stars, last pushed 2mo ago), licensed MIT. It adds 98 tokens to every session and 3,010 once invoked, about $0.0005 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.
Other skills, from other repositories
create-pr
Creates a GitHub PR with a Linear-ticket-prefixed title and a decision-led, narrative description for prisma-next. Use when the user wants to create a pull request, open a PR, or submit changes for review.
schema-exploration
Lists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database. Use when the user asks about database schema, table structure, column types, what tables exist, ERD, foreign keys, or how entities relate.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…
supabase
Supabase / PostgREST Row-Level-Security playbook — pull the anon (or leaked servicerole) key out of the frontend JS, map tables from the auto-generated OpenAPI spec, test anonymous RLS READ disclosures (PII/secret leaks), and anonymous RLS WRITE abuse (insert/update/delete — e.g. forging…
nornicdb-cypher-queries
Pick fast, predictable Cypher query shapes in NornicDB — point lookups, batch retrieval, pagination, search, traversal, batched UNWIND/MERGE writes, cleanup, multi-tenant isolation. Use when writing or reviewing Cypher whose latency or throughput matters; maps user intent to the executor's hot-path query templates.
dsql
Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, diagnose cluster performance, load data, and develop applications with a serverless, distributed SQL database. Covers IAM auth, multi-tenant patterns, MySQL-to-DSQL and PostgreSQL-to-DSQL schema conversion, foreign key…