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SKILL verified MIT Self-run

Sql Safety

skill-edenfunf-promptc-sql-safety · by edenfunf

Database safety rules for the data-access layer.

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Install

$ agentstack add skill-edenfunf-promptc-sql-safety

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
5mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

SQL Safety

Parameterized queries

Always use parameterized queries for every database access. Never concatenate user-provided strings into SQL statements directly. This includes dynamic WHERE clauses, ORDER BY clauses, and table names.

Migration discipline

All schema migrations go through the migrations/ directory and run in the deploy pipeline; never modify the production schema by hand. Each migration is reversible — pair every up with a tested down.

Connection pooling

Use connection pools sized to peak concurrent load divided by average query latency. Never open and close a fresh connection per request in a hot path; the handshake cost dominates everything else under load.

Read replicas

Route read-only queries to read replicas. Writes always go to primary. Track replication lag and surface it on dashboards.

Input validation

Validate and sanitize all user-provided data at the system boundary before it enters business logic. Reject inputs that do not match the expected shape, range, or type.

Boundary discipline

Treat any data that crossed a network or process boundary as untrusted until proven otherwise. Apply the same scrutiny to data from other internal services as you would to data from the public internet. The threat model assumes lateral movement; act accordingly across every service-to-service hop in the system.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.