SKILLEMALL.ai

BC planetscale-cli-skills

PlanetScale CLI command reference and workflows. Use for authentication; org, SSO, teams, and billing; databases, branches, Neki, internal or external keyspaces, keyspace parameters, logs, maintenance, extensions, metrics, insights, inspect, and SQL; deploy requests, schema migrations, MoveTables, throttlers, rollout concurrency, disk-storage settings, and Traffic Control; PgBouncers, dedicated read replicas, roles, passwords, backups, webhooks, audit logs, service tokens, D1 imports, and automation. Routes to focused pscale sub-skills. Triggers on PlanetScale CLI, pscale, pscale --skill, database, branch, Neki, keyspace, keyspace parameters, create-external, external keyspace, deploy request, move-tables, vtctl, vtctld, max rollout, disk scaling, max storage, throttler, traffic-control, metrics, insights, inspect, SQL, role, password, pgbouncer, dedicated read replica, read-only replica, backup, webhook, audit-log, billing, org, SSO, service token, import d1.

ClawHub Agent Skills author: Vince Lozada v1.0.32 MIT-0 52 files · 4 scripts body ≈ 3 805 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

PlanetScale CLI command reference and workflows.

As a process C 56/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

ProcedureGitHubPostgreSQLGitLabMySQLInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
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 · 0

    ✓ No critical or high findings

    Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "requirements"
    • note edit-residue the text marks something as outdated (lines 48): check that old rules are not kept next to new ones — the full check reads the text for contradictions

    Process rating: all ten parameters 56/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 31 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 20 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3805 tokens
    • 100Progress reporting. Reports progress
    • low 10 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
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Description length 974: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • -31 of 4 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 20 items
    • +4Has examples (8 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

    External checks

    ClawHub: clean
    This is a broad but coherent PlanetScale CLI helper that discloses its sensitive database, billing, credential, and organization-management capabilities.
    LLM: benign (high) · VirusTotal: · 5 Oct 2026