| name | context-quality |
| description | Aggregated quality context for a scope — quality attribute definitions + performance SLOs + reliability targets per BAR. |
| version | 0.1.0 |
| purity | pure-data |
| runtime | research-runner |
| command | npx @maintainabilityai/research-runner@~0.1.64 skill-context-quality |
Context Quality Skill
Surfaces non-functional grounding (latency, availability, observability) so the PRD agent can write defensible Non-Functional Requirements anchored to real BAR targets rather than guesses.
Inputs (stdin JSON)
| Field | Type | Required | Default | Description |
|---|
platformId | string | yes | — | Platform to aggregate over. |
barIds | string[] | yes | — | BARs to aggregate over. |
Outputs (stdout JSON)
| Field | Type | Description |
|---|
ok | boolean | |
qualityAttributes | { barId, name, target, measurement }[] | Per-BAR QA definitions. |
performanceSlos | { barId, metric, target, percentile }[] | p95/p99 latency targets, throughput. |
reliabilityTargets | { barId, availability, errorBudget }[] | SLO/SLI declarations. |
Invocation
echo '{"platformId":"PLT-IMDB","barIds":["APP-IMDB-001","APP-IMDB-002"]}' \
| npx @maintainabilityai/research-runner@~0.1.64 skill-context-quality
Implementation
Walks architecture/quality-attributes.yaml + architecture/fitness-functions.yaml per BAR. CLI subcommand backend lands in B-PR1a.
Error contract
Empty arrays on sparse BARs (not an error).
