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 skills/supersynergy/awesome-agentic-coding/dbnpx skills add Supersynergy/awesome-agentic-coding --skill dbgit clone --depth 1 https://github.com/Supersynergy/awesome-agentic-codingWrote 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/supersynergy/awesome-agentic-coding/db)<a href="https://agentmods.dev/skills/supersynergy/awesome-agentic-coding/db"><img src="https://agentmods.dev/badge/skills/supersynergy/awesome-agentic-coding/db.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 | $0.00039 | $0.00536 |
| Opus 5 | $0.00019 | $0.00268 |
| Sonnet 5 | $0.00008 | $0.00107 |
| Haiku 4.5 | $0.00004 | $0.00054 |
Grade A, and why
db scanned grade A with 1 finding 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 3d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s http://localhost:8000/sql \ What it actually says
Database CLI Operations
Execute database operations for: $ARGUMENTS
Step 1: Detect Database
Check these files to find the database connection:
.env/.env.localforDATABASE_URLdocker-compose.ymlfor database servicesdrizzle.config.ts/prisma/schema.prismafor ORM config
Step 2: Execute Query
PostgreSQL
# Connect
psql "$DATABASE_URL" -c "YOUR QUERY"
# Exploration
psql "$DATABASE_URL" -c "\dt" # List tables
psql "$DATABASE_URL" -c "\d tablename" # Describe table
psql "$DATABASE_URL" -c "\di" # List indexes
# Queries (always LIMIT!)
psql "$DATABASE_URL" -c "SELECT * FROM users LIMIT 10"
psql "$DATABASE_URL" -c "SELECT count(*) FROM users"
SurrealDB
# Via HTTP API (most reliable)
curl -s http://localhost:8000/sql \
-H "Accept: application/json" \
-H "NS: app" -H "DB: main" \
-u "root:root" \
--data "SELECT * FROM user LIMIT 10;"
# Via CLI
surreal sql --endpoint http://localhost:8000 \
--namespace app --database main \
--username root --password root \
--query "INFO FOR DB;"
SQLite
sqlite3 path/to/db.sqlite ".tables"
sqlite3 path/to/db.sqlite ".schema tablename"
sqlite3 path/to/db.sqlite "SELECT * FROM users LIMIT 10"
Safety Rules
- NEVER run DELETE, DROP, TRUNCATE, or ALTER without explicit user confirmation
- Always add LIMIT to SELECT queries (default: 20)
- Never expose passwords or connection strings in output
- For writes, show the query first and ask before executing
- Use READ-ONLY connections when just exploring (add
?sslmode=require&options=-c default_transaction_read_only=onfor Postgres)
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.
- 3d ago First seen · 65 lines · 39 tokens per session scan A b33b5474f9f7
db is a skill published in the GitHub repository Supersynergy/awesome-agentic-coding (1 stars, last pushed 1mo ago), licensed MIT. It adds 39 tokens to every session and 536 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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