aiagent: Skill for Claude Code

.claude/skills/dba-review/SKILL.md

dba-review is a skill for Claude Code from drujensen/aiagent. It costs 61 tokens per session (488 once invoked), scanned A, original, MIT.

A database-change workflow that designs and reviews schema updates for the aiagent project. It keeps JSON-file storage and MongoDB storage aligned, including field names and compatibility with existing data.

In plain words
What is it for?
Use it when entities, repositories, or stored fields need changing. It checks both repository implementations, JSON and BSON field tags, and backward compatibility.
Why use it?
It reduces the risk of a data change working in one storage system but failing in the other or breaking older records.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

This is drujensen/aiagent's own configuration. It tells Claude Code how to work on aiagent itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything aiagent configures →

Reuse

Borrowing it

Nothing to install: this file belongs to drujensen/aiagent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/drujensen/aiagent/main/.claude/skills/dba-review/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/drujensen/aiagent

Made for: Claude Code.

Wrote 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.

agentmods badge for dba-review

README.md
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Your own site
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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.

agentmods 80×15 button for dba-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/drujensen/aiagent/dba-review"><img src="https://agentmods.dev/badge/skills/drujensen/aiagent/dba-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 488 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00061 $0.00488
Opus 5.5 $0.00024 $0.00195
Sonnet 5.5 $0.00012 $0.00098
Haiku 4.5 $0.00006 $0.00049

Measured 4d ago against content hash 0e21958ea6a3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dba-review 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 4d 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.

.claude/skills/dba-review/SKILL.md · 50 lines

What it actually says

Database Review

Database review for:

Instructions

You are orchestrating a Database Review cycle for the aiagent project.

Phase 1: Database Work

  1. Use the Agent tool with subagent_type: "dba" to perform the database work
  2. Pass it the story description and design document (if available)
  3. The dba agent will:
    • Review the entity structs in internal/domain/entities/
    • Update/verify both JSON repository (internal/impl/repositories/json/) and MongoDB repository (internal/impl/repositories/mongo/)
    • Ensure struct tags are consistent: json:"fieldName" and bson:"fieldName"
    • Handle backward compatibility for existing data

Phase 2: Review 4. Use the Agent tool with subagent_type: "dba-reviewer" to review the changes 5. Pass the dba agent's output and list of changed files 6. The reviewer will verify storage duality and score against the 6 pillars

Phase 3: Iterate 7. If overall score >= 8/10 (APPROVED): Report the schema changes and scores 8. If overall score < 8/10 (REVISE):

  • Extract Critical Issues from the reviewer
  • Send issues back to the dba agent
  • Re-review with the dba-reviewer
  • Repeat until APPROVED or 3 iterations maximum

Phase 4: Report 9. Present:

  • Schema changes summary
  • Storage duality verification
  • Final pillar scores table

Important

  • Maximum 3 review iterations
  • The dba MODIFIES FILES; the reviewer only READS and SCORES
  • Every schema change must work for BOTH JSON and MongoDB
  • Backward compatibility with existing data is non-negotiable
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.

  1. 4d ago First seen · 50 lines · 61 tokens per session scan A 0e21958ea6a3

Subscribe to this mod's changes

dba-review is a skill published in the GitHub repository drujensen/aiagent (5 stars, last pushed 2mo ago), licensed MIT. It adds 61 tokens to every session and 488 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-03.

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