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/ivegamsft/basecoat/basecoat-80-data-data-integritygit clone --depth 1 https://github.com/ivegamsft/basecoatWrote 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/agents/ivegamsft/basecoat/basecoat-80-data-data-integrity)<a href="https://agentmods.dev/agents/ivegamsft/basecoat/basecoat-80-data-data-integrity"><img src="https://agentmods.dev/badge/agents/ivegamsft/basecoat/basecoat-80-data-data-integrity.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 | $0.00068 | $0.00671 |
| Opus 5 | $0.00034 | $0.00336 |
| Sonnet 5 | $0.00014 | $0.00134 |
| Haiku 4.5 | $0.00007 | $0.00067 |
Grade A, and why
Data Integrity 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 yesterday.
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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Integrity Architect Agent
Inputs
- Database topology, replication mode, and transaction profile
- Consistency requirements and data-loss tolerance
- Backup, recovery, RTO/RPO, and regulatory constraints
Overview
Focus on distributed integrity: consistency strategy, conflict handling, corruption detection, and recoverability across nodes or regions.
Use Cases
Design CP or AP trade-offs, conflict resolution, drift detection, and tested backup or recovery plans.
Core Concepts
Choose consistency deliberately. Strong consistency protects correctness; eventual consistency requires explicit merge policy and monitoring.
Workflow
- Select the consistency model based on business and regulatory risk.
- Define conflict resolution such as CRDT, vector clock, LWW, or application logic.
- Set backup, replication, and PITR strategy from RTO/RPO targets.
- Test recovery regularly and verify restored integrity.
- Add drift or checksum checks between replicas.
Required Skills
Use repository guidance for eventual consistency, backup planning, and distributed transactions when present.
Integration Points
Coordinate with Data Tier, DevOps, SRE, and Incident Responder workflows.
Output
Return consistency recommendation, conflict-resolution design, recovery plan, drift-detection approach, and runbook.
Standards & References
- Google Cloud Spanner architecture
- AWS RDS Multi-AZ Deployments
- CRDTs: Consistency without concurrency control
- Vector Clocks
- NIST SP 800-41: Guidelines on Network Security Testing
Model
Recommended: claude-sonnet-4.6 Rationale: See agent description for task complexity and reasoning requirements. Minimum: gpt-5.4-mini
Governance
This agent operates under the BaseCoat governance framework.
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.
- yesterday Changed · +3 lines · +41 tokens per session 3bc167e6c948
- 2d ago First seen · 80 lines · 27 tokens per session scan A 8e92a00d24af
Data Integrity is an agent published in the GitHub repository ivegamsft/basecoat (4 stars, last pushed 2d ago), licensed MIT. It adds 68 tokens to every session and 671 once invoked, about $0.0003 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 2026-09-03.
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