Borrowing it
Nothing to install: this file belongs to prebid/salesagent. 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/prebid/salesagent/main/.claude/skills/agent-db/SKILL.mdgit clone --depth 1 https://github.com/prebid/salesagentWrote 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/prebid/salesagent/agent-db)<a href="https://agentmods.dev/skills/prebid/salesagent/agent-db"><img src="https://agentmods.dev/badge/skills/prebid/salesagent/agent-db/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/prebid/salesagent/agent-db"><img src="https://agentmods.dev/badge/skills/prebid/salesagent/agent-db.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 | $0.00043 | $0.00503 |
| Opus 5.5 | $0.00017 | $0.00201 |
| Sonnet 5.5 | $0.00009 | $0.00101 |
| Haiku 4.5 | $0.00004 | $0.00050 |
Grade A, and why
agent-db 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 1mo 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.
What it actually says
Agent Database
Starts a lightweight postgres:17-alpine container scoped to the current
worktree. The container name is deterministic (agent-pg-<dirname>), so
up/down/status work across calls without tracking state manually.
When to use
- Before running integration tests in a worktree agent
- When you need a private Postgres that won't conflict with other agents
- Instead of
make test-stack-up(which starts the full docker-compose stack)
Setup
eval $(.claude/skills/agent-db/agent-db.sh up)
This exports:
DATABASE_URL— points to your private PostgresADCP_TESTING=trueENCRYPTION_KEY,GEMINI_API_KEY— test defaults
The integration_db pytest fixture handles the rest: creates per-test
databases, runs Base.metadata.create_all(), cleans up after each test.
Running tests
# Integration tests (real Postgres)
uv run pytest tests/integration/ -x -q
# Targeted
uv run pytest tests/integration/test_specific.py -x -q -k "test_name"
# Unit tests (no DB needed)
uv run pytest tests/unit/ -x -q
Commands
| Command | Effect |
|---|---|
eval $(.claude/skills/agent-db/agent-db.sh up) |
Start container, export env vars |
.claude/skills/agent-db/agent-db.sh down |
Stop and remove container |
.claude/skills/agent-db/agent-db.sh status |
Check if running |
Idempotent
Running up when already running re-exports the same env vars (same port,
same container). Safe to call multiple times.
Cleanup
The container is removed when you run down or when the worktree is deleted.
If the worktree is cleaned up without running down, the container stays
orphaned — run docker rm -f agent-pg-<worktree-name> to clean it up.
What ships with it
1 file 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.
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.
- 1mo ago First seen · 66 lines · 43 tokens per session scan A 3450285cd27f
agent-db is a skill published in the GitHub repository prebid/salesagent (39 stars, last pushed yesterday), licensed Apache-2.0. It adds 43 tokens to every session and 503 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 2026-09-01.
Other skills, from other repositories
Drizzle ORM Testing
Testing patterns for Drizzle ORM covering migration testing, query builder testing, transaction testing, and database integration testing with PostgreSQL, SQLite, and MySQL.
test-database-seeding
Use when a test needs a database - spin up a dedicated, disposable test database (Testcontainers) seeded with known data, never a shared or production database.
cargo-pgrx
Choose and run cargo-pgrx commands, pgrx tests, pgtest coverage, and pgsys boundary checks.
verify
Verify harness changes at the package boundary — build dist, link the package into a scratch consumer, drive a chat turn, tools, and gateways against a real Postgres via podman. Use after changing @inflexa-ai/harness when the CLI does not yet consume the change.
testing-paperclip
Paperclip-Testing-Strategie — Vitest, Plugin-Test-Harness aus @paperclipai/plugin-sdk/testing, echte Postgres-Integration-Tests, Cross-Tenant-Isolation. Verwenden Sie dies beim Schreiben oder Reviewen von Paperclip-Tests.
pytest-databases
Auto-activate for pytestdatabases, Docker DB fixtures, PostgreSQL/pgvector/ParadeDB, MySQL/MariaDB, Oracle/SQL Server, CockroachDB, MongoDB, Redis/Valkey, BigQuery/Spanner, MinIO, or RustFS. Not for mocked DBs.