linear-observability
Add observability to your Linear integration with metrics, logging, and alerting.
Install
mkdir -p .claude/skills/linear-observability && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/7592" && unzip -o skill.zip -d .claude/skills/linear-observability && rm skill.zipInstalls to .claude/skills/linear-observability
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Implement monitoring, logging, and alerting for Linear integrations.Key capabilities
- →Track API request latency and status
- →Monitor rate limit headroom
- →Instrument webhook processing
- →Expose metrics via Prometheus
- →Implement structured logging
How it works
The skill wraps Linear API calls with timers and counters, logs events using structured formats, and provides health check endpoints for monitoring systems.
Inputs & outputs
When to use linear-observability
- →Monitor Linear API latency
- →Track rate limit usage
- →Create dashboard alerts for API errors
About this skill
Linear Integration Observability
Overview
Measure contract health and business freshness without placing tokens, GraphQL variables, issue content, or user identities in telemetry.
Prerequisites
- The target repository, Linear workspace, environment, and accountable owner
- Current security, privacy, compliance, capacity, and change-control requirements
- An approved Linear credential only when a bounded live verification is necessary
Tool Discipline
Use Read, Glob, and Grep to inspect code, configuration, and evidence. Use WebFetch only for current first-party Linear documentation and package metadata. Use Write or Edit only for requested implementation with known target files. Never write credentials, customer content, unrestricted environment output, or unredacted GraphQL variables.
Current Contract
- Linear returns request-limit, endpoint-limit, complexity, remaining-budget, and reset headers that can drive safe capacity telemetry.
- Webhook delivery headers include unique delivery ID, event type, signature, and timestamp; never log the signature as reusable evidence.
- Enterprise audit logs retain 90 days and can be queried or streamed, but are owner-only and contain sensitive actor/IP metadata.
Authentication
Use a personal API key only for owner-controlled scripts, OAuth with PKCE for user-delegated applications, or an enabled client-credentials grant for approved automation. Personal keys use Authorization: <API_KEY>; OAuth tokens use Authorization: Bearer <ACCESS_TOKEN>. Store credentials server-side in an approved secret manager.
Treat app approval, team access, scope changes, credential creation, rotation, revocation, and production access as owner-approved actions.
Instructions
- Define service objectives for API success, GraphQL application errors, webhook acknowledgement, queue lag, and reconciliation freshness.
- Emit operation names, status, normalized error code, latency, retry count, and rate/complexity budget—not raw queries or variables.
- Track webhook delivery ID hashes, event type, verification result, acknowledgement latency, dedupe outcome, and processing lag.
- Alert on sustained budget exhaustion, auth failures, signature failures, queue age, and reconciliation divergence.
- Keep audit-log ingestion separate, least-privileged, redacted, and aligned with the organization's retention policy.
- Test dashboards and alerts with synthetic failures and record owner, runbook, and quieting rules.
Approval Boundaries
Do not create, reveal, rotate, or revoke credentials; authorize an OAuth app; change scopes or team access; create, mutate, archive, or delete workspace data; configure or re-enable webhooks; import or export data; change roles, SCIM, or audit streaming; transmit diagnostics; change paid entitlements; or perform another production mutation without explicit approval from the accountable owner. Keep diagnosis read-only unless implementation was requested.
Output
Return the workspace and team scope, auth mode without credential value, files and contracts inspected, exact operation names, evidence collected, validation result, sensitive fields redacted, remaining risk, accountable owner, approval state, and rollback or next action.
Error Handling
| Condition | Response |
|---|---|
| Sensitive telemetry | Drop and scrub the field before expanding observability. |
| Header absent | Mark the metric unknown; do not fabricate a full budget. |
| Alert storm | Aggregate by workspace/operation and preserve the first actionable evidence. |
| Audit access denied | Confirm Enterprise owner authority; do not work around it with scraped UI data. |
Examples
Use a compact handoff that makes scope, mutation authority, and verification evidence reviewable.
Input:
slo=webhook-ack<5s; dimensions=workspace-hash,operation; payload-logging=false
Expected handoff:
metrics=bounded; alerts=runbook-linked; content=excluded
Resources
When not to use it
- →When monitoring is not required for the integration
- →When lacking an alerting system
Prerequisites
Limitations
- →Requires instrumentation of all client calls
- →Health check requires 10s timeout for reliability
How it compares
It provides pre-defined metric definitions and instrumentation wrappers instead of manual logging and monitoring setup.
Compared to similar skills
linear-observability side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| linear-observability (this skill) | 1 | 2mo | Caution | Advanced |
| langfuse | 7 | 8mo | No flags | Intermediate |
| appinsights-instrumentation | 6 | 8mo | Review | Beginner |
| instantly-observability | 2 | 2mo | Caution | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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