SKILLEMALL.ai

BC express-jwt-postgres-api

Builds a production-style Express.js REST API with JWT authentication, PostgreSQL, layered middleware, and Docker Compose for local development. Use when the user asks to scaffold a secure Node.js/Express API with login, protected routes, and a relational database.

andersonamaral2/Claude-Code-to-Deep-Agents-Skills-Converter Agent Skills author: andersonamaral2 MIT 1 file body ≈ 1 935 tokens Open the sourcegithub.com↗ analyzed 6 d ago

Builds a production-style Express.js REST API with JWT authentication, PostgreSQL, layered middleware, and Docker Compose for local development. Use when the…

As a process C 57/100 · Has gaps — weak spots: result and completion, consistency, running it twice

IntegrationDockerPostgreSQLInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
92/100
safety, quality, tests
Safety 60%
99
Quality 40%
82
Run on models
none yet
Process rating
C
57/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Dangerous commands cmd-pipe-to-shell-known-host SKILL.md:276
      Pipe-to-shell installer from a well-known host (still executes remote code) (documentation of a security skill)
      curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.0/install.sh | bash
      security skill

    Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 57/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 20 mutating operations with no state check
    • 40Consistency. Frontmatter name (express-jwt-postgres-api) differs from the folder (deep-agents-output-3)
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 14 steps
    • 100Execution cost. Instruction body is 1935 tokens

    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
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • -2localhost URLs: will not work for another user
    • +1No license
    • +2Single-language instructions
    • +3Description length 265: enough signal without eating the budget
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 14 items
    • +4Has examples (25 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.