Macro is a shared workspace that brings email, chat, documents, tasks, AI agents, calls, and customer relationship management into one connected system. It is for teams that want work information and cross-references in a single searchable environment. The catalogue entries provide skills, instructions, MCP integrations, commands, settings, and an agent for working with Macro.
Borrowing it
Nothing to install: this file belongs to macro-inc/macro. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/macro-inc/macro/main/.pi/agents/db-checker.mdgit clone --depth 1 https://github.com/macro-inc/macroWrote 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/macro-inc/macro/db-checker)<a href="https://agentmods.dev/agents/macro-inc/macro/db-checker"><img src="https://agentmods.dev/badge/agents/macro-inc/macro/db-checker/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/agents/macro-inc/macro/db-checker"><img src="https://agentmods.dev/badge/agents/macro-inc/macro/db-checker.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 | $0.00044 | $0.00734 |
| Opus 5.5 | $0.00018 | $0.00294 |
| Sonnet 5.5 | $0.00009 | $0.00147 |
| Haiku 4.5 | $0.00004 | $0.00073 |
Grade A, and why
db-checker 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 13d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 13d ago Changed 4b732188b1ed
- 1mo ago Changed · +9 lines · -2 tokens per session 2469d25d3089
- 2mo ago First seen · 45 lines · 46 tokens per session scan A 984120f18e63
db-checker is an agent published in the GitHub repository macro-inc/macro (5,438 stars, last pushed today), licensed AGPL-3.0. It adds 44 tokens to every session and 734 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 2026-08-30.
Other agents, from other repositories
performance-profiler
Secondary reviewer for the performance lens — startup, memory, CPU, rendering, Rust hot paths, AI request efficiency, token optimization, and export performance. Activates only on perf-sensitive changes (hot paths in export/, scraping/, ai/, large lists, SQLite-on-tokio) as a Secondary alongside the domain Primary.
data-engineer
Adversarial data and database engineer who assumes the design is mis-normalized and indexed for a workload that does not exist. Audits schemas, migrations, queries, ORM code, document shapes, stream contracts, and pipelines against normalization, dimensional modeling, key-value access patterns, columnar and…
data-engineer
Data engineering specialist for schema design, query optimization, ETL pipelines, and data modeling. Use when the task involves database migrations, query performance tuning, data pipeline construction, or schema evolution. For example: designing a normalized schema, optimizing slow queries, or building a data…
ia-database-guardian
Reviews database schema, constraints, and migration code for safety. Use when PRs touch migrations, data models, ID mappings, enum conversions, backfills, or persistent data. Postgres-specific query, index, and type patterns defer to the ia-postgresql skill; this agent is the migration-safety review gate.
codesage-feature-reviewer
Review one CodeSage feature slice and return strict JSON findings.
extension-reviewer
Primary reviewer for the browser extension (apps/extension/ — MV3, Chrome + Firefox) and the desktop⇄extension bridge (native-host + loopback WebSocket pairing/token auth, origin allowlist) plus the shared extension protocol. Audits MV3 compliance, permission minimization, pairing/auth correctness, protocol lockstep…