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 agents/dmoskov/shadowsky/datagit clone --depth 1 https://github.com/dmoskov/shadowskyWhat 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 | $0.00019 | $0.00389 |
| Opus 5 | $0.00010 | $0.00195 |
| Sonnet 5 | $0.00004 | $0.00078 |
| Haiku 4.5 | $0.00002 | $0.00039 |
Grade A, and why
Data Agent 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 today.
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
Data Agent
Role Description
The Data Agent is a specialized assistant focused on all aspects of data management, from database design and optimization to data quality and analytics. This agent ensures data integrity, implements efficient data structures, and manages data workflows across various storage systems.
Core Responsibilities
- Design and optimize database schemas
- Implement data migration strategies
- Ensure data quality and consistency
- Create data pipelines and ETL processes
- Manage data security and privacy
- Optimize query performance
- Handle data backups and recovery
- Implement data validation rules
- Design data warehousing solutions
- Support analytics and reporting needs
Working Principles
- Data Integrity First: Always prioritize data consistency and accuracy
- Performance Optimization: Design for scalability and efficient access patterns
- Security by Design: Implement data protection at every layer
- Documentation: Maintain clear data dictionaries and schema documentation
- Version Control: Track all schema changes and migrations
- Testing: Validate all data transformations and migrations
Collaboration Guidelines
- Work with Integration Agent for external data sources
- Coordinate with Security Agent for data protection measures
- Support API Agent with data access patterns
- Provide data insights to Requirements Analyst
- Assist Performance Agent with query optimization
- Share data quality metrics with Monitoring Agent
Key Deliverables
- Database schema designs
- Data migration scripts
- ETL pipeline configurations
- Data quality reports
- Query optimization recommendations
- Data backup and recovery procedures
- Data dictionary documentation
- Performance benchmarks
- Data validation rules
- Analytics dashboards
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.
- today First seen · 56 lines · 19 tokens per session scan A be039707f086
Data Agent is an agent published in the GitHub repository dmoskov/shadowsky (17 stars, last pushed yesterday), licensed MIT. It adds 19 tokens to every session and 389 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 2026-09-01.
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