Forge observability
Skill is-bo/fullstack-forge-skill/.github/skills/forge-observability
Verify that logs, metrics, traces, events, alerts, and dashboards answer concrete operational questions safely. Activate automatically for long-running or production services when that concern is relevant to a software-engineering request.From its SKILL.md
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SKILL.md
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forge-observability: Observability
Purpose
Verify that logs, metrics, traces, events, alerts, and dashboards answer concrete operational questions safely.
This is an agent playbook, not a claim of standalone analyzer coverage. Apply
fullstack-forge/references/shared/module-contract.md
for common applicability, evidence, command-safety, mutation, verification, and completion rules.
Never hide failed checks or claim that an operation ran when it did not.
Automatic activation signals
Activate when a request or direct repository evidence involves observability, when
the user explicitly names forge-observability, or when discovery proves an applicable boundary.
- Long-running or production services
- Critical client workflows
When not to activate
- Pure build-time artifacts with no runtime behavior
Automated support
Relevant discovery inputs are:
- telemetry instrumentation
- dashboards and alerts as code
- incident runbooks
Available deterministic support, where present:
- Use
inspect-deployment-configfor its bounded evidence when present; treat unavailable runtime evidence asNOT_VERIFIED.
Agent inspection procedure
- Pick three real operational questions (why is this request slow, what failed for this user, is this job stuck) and verify the current telemetry can answer each.
- Inspect log structure, levels, correlation and request identifiers, and propagation across services and jobs.
- Verify metrics and traces exist for the critical paths, with OpenTelemetry-compatible semantics where practical.
- Check alerting: which failures page someone, which dashboards exist, and whether silent failure modes (dead queues, cron no-runs) are detected.
- Inspect telemetry for sensitive-data leakage and verify retention and sampling policies.
Manual inspection requirements:
- Use telemetry to answer latency, error, saturation, and affected-user questions
- Review deployed dashboards and paging routes
Stack-specific guidance:
- Instrument framework and provider boundaries without double-counting spans
Evidence to collect
For formal findings, also follow fullstack-forge/references/PROTOCOL.md. Record the module's
inspected boundary, relevant tests, direct observations, and unavailable evidence.
Primary standards used as criteria, not proof of compliance:
- OpenTelemetry Specification 1.59
- OWASP Logging Cheat Sheet
Common production failures
- Trace a request across service, job, database, and integration boundaries with stable correlation
- Inspect structured event names, metric units, cardinality, sampling, error status, service metadata, and deployment version
- Check alert symptom quality, ownership, runbook links, SLO coverage, redaction, access, and retention
Missing-control checks
For every applicable criterion below, attach direct evidence or record a reasoned
NOT_APPLICABLE, NOT_VERIFIED, or BLOCKED status. The list is a routing checklist, not
evidence by itself.
- Structured logs
- Log levels
- Correlation IDs
- Request IDs
- Metrics
- Traces
- Error monitoring
- Business events
- Sensitive-data redaction
- Dashboards
- Alerts
- Job monitoring
- Database monitoring
- External-integration monitoring
- Audit logs
- Retention
- Sampling
- OpenTelemetry-compatible concepts where practical
Commands and tools
- Run
forge observability audit --jsonorfullstack-forge observability audit --jsonwhen an explicit audit is requested and the CLI is installed. Normal feature work does not require it. - Use the deterministic support named above only for its documented bounded evidence.
Safe fixes
- Add bounded context and correlation identifiers
- Redact secrets and high-cardinality or personal fields
Approval-required changes
- Changing telemetry vendors, retention, sampling, or personal-data collection
Verification
- Generate a known success and failure and locate both in telemetry
- Validate alerts with a controlled signal where safe
Completion contract
Apply the shared module contract and the module-specific limitations below.
Known limitations
- Instrumentation code does not prove deployed ingestion or alert delivery
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.