db

db is a skill for Claude Code, Codex from rajitsaha/100xprism. It costs 28 tokens per session (2,212 once invoked), scanned A, original, MIT.

A database access tool for running SQL queries and migrations against Cloud SQL, PostgreSQL, Snowflake, Databricks, Athena, Presto, or Oracle databases.

In plain words
What is it for?
Running audit queries, custom SQL, pending migrations, or queries against a named database connection.
Why use it?
It removes the need to use a different access method for each supported database. Connection details can come from project instructions or a shared connection registry.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths; mentions CLAUDE.md; positional $N argument.

Good fit Running audit queries, custom SQL, pending migrations, or queries against a named…

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Install with agentmods
npx agentmods add skills/rajitsaha/100xprism/db
Install

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.

Any agent
npx skills add rajitsaha/100xprism --skill db
Clone the repo
git clone --depth 1 https://github.com/rajitsaha/100xprism

Made for: Claude Code, Codex.

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 db

README.md
[![agentmods](https://agentmods.dev/badge/skills/rajitsaha/100xprism/db.svg)](https://agentmods.dev/skills/rajitsaha/100xprism/db)
Your own site
<a href="https://agentmods.dev/skills/rajitsaha/100xprism/db"><img src="https://agentmods.dev/badge/skills/rajitsaha/100xprism/db.svg" alt="Measured on agentmods" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,212 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 $0.00028 $0.02212
Opus 5 $0.00014 $0.01106
Sonnet 5 $0.00006 $0.00442
Haiku 4.5 $0.00003 $0.00221

Measured 6d ago against content hash fc0069c010ed, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

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 6d 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.

.agents/skills/db/SKILL.md · 201 lines

How it starts

The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DB — Universal Database Access

Reads connection config from the project instruction file (CLAUDE.md, AGENTS.md, .cursorrules, or equivalent) or ~/.claude/db-connections.json (global registry).

Scope: /db executes specific SQL or migrations against named connections. For analytics in plain English, use /query.

Supported engines

cloud-sql | postgres | snowflake | databricks | athena | presto | oracle

Usage

  • /db — default audit query for current project DB
  • /db "SELECT count(*) FROM users" — arbitrary SQL on current project DB
  • /db migrate — run pending migrations
  • /db prod-snowflake — named connection from global registry
  • /db prod-snowflake "SELECT ..." — named connection + custom SQL

Step 0 — Parse arguments

# If first arg looks like a connection name (no spaces, no SQL keywords), treat as named connection
ARGS="${1:-}"
if echo "$ARGS" | grep -qE '^[a-zA-Z0-9_-]+$' && ! echo "$ARGS" | grep -qiE '^(SELECT|INSERT|UPDATE|DELETE|CREATE|DROP|ALTER|SHOW|DESCRIBE|migrate)'; then
  NAMED_CONNECTION=$(echo "$ARGS" | awk '{print $1}')
  SQL=$(echo "$ARGS" | cut -s -d' ' -f2-)
else
  NAMED_CONNECTION=""
  SQL="$ARGS"
fi

Step 1 — Load connection config

# Detect project instruction file
INSTRUCTION_FILE=$(ROOT=$(git rev-parse --show-toplevel 2>/dev/null); for f in CLAUDE.md AGENTS.md .cursorrules; do [ -f "$ROOT/$f" ] && echo "$ROOT/$f" && break; done)
DB_CONNECTIONS="$HOME/.claude/db-connections.json"

if [ -n "$NAMED_CONNECTION" ]; then
  ENGINE=$(python3 -c "import json; d=json.load(open('$DB_CONNECTIONS')); c=d.get('$NAMED_CONNECTION',{}); print(c.get('engine',''))" 2>/dev/null)
  CONFIG_SOURCE="registry:$NAMED_CONNECTION"

elif [ -n "$INSTRUCTION_FILE" ] && grep -q "^engine:" "$INSTRUCTION_FILE" 2>/dev/null; then
  ENGINE=$(grep "^engine:" "$INSTRUCTION_FILE" | head -1 | cut -d: -f2 | tr -d ' ')
  CONNECTION_NAME=$(grep "^connection:" "$INSTRUCTION_FILE" | head -1 | cut -d: -f2 | tr -d ' ')
  CONFIG_SOURCE="instruction-file"

elif [ -f "$DB_CONNECTIONS" ]; then
  echo "No DB config found in project instruction file. Available connections:"
  python3 -c "
import json
d = json.load(open('$DB_CONNECTIONS'))
for i, (name, cfg) in enumerate(d.items(), 1):
    print(f'  {i}) {name} ({cfg.get(\"engine\",\"unknown\")})')
"
  read -rp "Select connection (number or name): " SELECTION
  NAMED_CONNECTION=$(python3 -c "
import json, sys
d = json.load(open('$DB_CONNECTIONS'))
keys = list(d.keys())
sel = '$SELECTION'
if sel.isdigit() and 1 <= int(sel) <= len(keys):
    print(keys[int(sel)-1])
elif sel in d:
    print(sel)
else:
    print('', end='')
" 2>/dev/null)
  ENGINE=$(python3 -c "import json; d=json.load(open('$DB_CONNECTIONS')); print(d.get('$NAMED_CONNECTION',{}).get('engine',''))" 2>/dev/null)
  CONFIG_SOURCE="registry:$NAMED_CONNECTION"

else
  echo "ERROR: No database config found."
  echo "  Option 1: Add a '## Database' section to your project instruction file"
  echo "  Option 2: Create ~/.claude/db-connections.json with named connections"
  exit 1
fi

if [ -z "$ENGINE" ]; then
  echo "ERROR: Could not determine database engine from config."
  exit 1
fi

echo "Engine: $ENGINE | Config: $CONFIG_SOURCE"

Read the full file on GitHub · 201 lines

Files

What ships with it

9 files 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.

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. 6d ago First seen · 201 lines · 28 tokens per session scan A fc0069c010ed

Subscribe to this mod's changes

db is a skill published in the GitHub repository rajitsaha/100xprism (10 stars, last pushed 6d ago), licensed MIT. It adds 28 tokens to every session and 2,212 once invoked, about $0.0001 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 2026-08-31.