Forge observability
Skill is-bo/fullstack-forge-skill/.gemini/skills/forge-observability
A production full-stack engineering skill suite for AI coding agents—covering UI, UX, security, databases, auth, caching, testing, performance, and deployment.
npx -y skills add is-bo/fullstack-forge-skill --skill forge-observabilityAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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- 19 days oldThe repository was created 19 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
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What its author says it does
Copied from the file, not written here
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.
SKILL.md
4.4 KB, as published. Nobody here has run it
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
Gives 0 of the 12 instructions most monitoring observability skills give
Counted across 481 of the 483 authors here whose files we hold, read 2026-08-06
- link every alert to a runbookin 43 of 481, across 35 files
- use structured json loggingin 36 of 481, across 31 files
- alert on user-facing symptomsin 20 of 481, across 15 files
- emit structured JSON logs with stable event namesin 18 of 481, across 13 files
- propagate trace context across boundariesin 16 of 481
- use histograms for latency trackingin 14 of 481, across 9 files
- use OpenTelemetry for distributed tracingin 13 of 481, across 8 files
- include a correlation ID on every log linein 13 of 481, across 8 files
- Define service level objectivesin 10 of 481, across 7 files
- Call useAzureMonitor before importing other modulesin 9 of 481, across 2 files
- stop and ask for clarification if inputs are missingin 9 of 481, across 2 files
- define on-call questions before adding telemetryin 9 of 481, across 4 files
Said here and by no other author read
- pick three operational questions
- inspect log structure and correlation identifiers
- check which failures trigger paging alerts
- answer latency error saturation and user questions
- review deployed dashboards and paging routes
- instrument boundaries without double-counting spans
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once.