AF pscale-deploy-request
Create, review, deploy, and revert schema changes via deploy requests. Use when deploying schema migrations to production, reviewing database changes before deployment, managing deploy request lifecycle, or reverting deployed changes. Essential for safe production schema deployments. Triggers on deploy request, schema deployment, deploy schema, review deployment, revert deployment, production migration.
Create, review, deploy, and revert schema changes via deploy requests.
As a process F 44/100 · Will not run — References files that are not bundled: scripts/deploy-schema-change.sh
How to improve
- The text references files that are not there: add them or drop the references.
- 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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: scripts/deploy-schema-change.sh - note
edit-residuethe text marks something as outdated (lines 100): check that old rules are not kept next to new ones — the full check reads the text for contradictions
Process rating: all ten parameters 44/100
- 0Tools and files. 1 referenced file(s) missing: scripts/deploy-schema-change.sh
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 34 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 70When it triggers. States when to use, but not when not to
- 100Steps. 10 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1490 tokens
- 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)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 406: enough signal without eating the budget
- +4Structure: 20 headings
- +3Step-by-step instructions: 10 items
- +4Has examples (12 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.