SKILLEMALL.ai

BB Prisma

Designs Prisma schemas, writes type-safe queries, and fixes migrations, connection pools, and N+1 relation loads in Node and TypeScript. Use when editing schema.prisma, modeling relations, indexes, enums, JSON or Decimal columns, or choosing between db push, migrate dev and migrate deploy; when a migration drifts, fails, or would drop a column on rename, or a database needs baselining; on errors P2002, P2025, P2024, P2034 or P3009; when connections run out on Lambda, Vercel or behind PgBouncer; when queries are slow or include loads too much; on transaction timeouts, deadlocks and optimistic locking; when Decimal or BigInt break JSON.stringify; for $queryRaw and TypedSQL; when porting $use middleware to client extensions; when prisma generate fails in Docker, Alpine or CI; and for seeding and test isolation. Not for database-server tuning or hand-written SQL (pg, sql), or other ORMs.

ClawHub Agent Skills author: Iván v1.0.2 MIT-0 18 files body ≈ 5 699 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process B 66/100 · Nearly there — weak spots: inputs and preconditions, running it twice

GeneratorDockerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
Run on models
none yet
Process rating
B
66/100
Nearly there
Inputs and preconditions w 11
0
Running it twice w 4
30
When it triggers w 12
50
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 18. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning body-long SKILL.md body ≈ 5699 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "changelog"

Process rating: all ten parameters 66/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 59 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (node) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 5699 tokens
  • 100Steps. 60 steps
  • 100Failures and branches. 2 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 12 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +3Description length 896: 120–800 characters recommended
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 60 items
  • +3Output format is stated explicitly
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.

External checks

ClawHub: clean
This Prisma skill is a documentation and workflow assistant with disclosed, purpose-aligned local preference storage and no evidence of hidden or malicious behavior.
LLM: benign (high) · VirusTotal: · 26 Jul 2026