Atlas / Skills / jeremylongshore / Linear Incident Runbook

Linear Incident RunbookBLOCK

skills/jeremylongshore/linear-incident-runbook

Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.

Verdict
BLOCK
Grade
D
Trust score
69 /100
Version
1.13.0
Hosts
1 documented
License
MIT
Stars
2,824
01

Overview

Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.

Read from source at commit 4f83675ca38aOBSERVED · 2026-10-09
02

Host compatibility

What the documentation claims. We have not run a compatibility test.

HostStatusNotes
claude-codementioned
03

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: linear-incident-runbook
description: >-
  Analyze and contain Linear integration incidents across authentication, GraphQL, rate budgets, webhooks, and data synchronization. Use when responding to an active degradation or reconciling after an incident. Trigger with "Linear integration incident", "Linear webhook outage", or "Linear API degradation".
argument-hint: "[incident-id] [auth|api|rate|webhook|sync]"
allowed-tools: Read, Glob, Grep, WebFetch, Write, Edit
version: 1.13.0
author: Jeremy Longshore <[email protected]>
license: MIT
tags:
- saas
- linear
- incident-response
model: inherit
effort: high
compatibility: Designed for Claude Code; live verification requires network access and an approved Linear workspace credential
---
# Linear Integration Incident Runbook

## Overview

Restore a safe operating state from read-only evidence first, then reconcile missed or duplicated work without generating diagnostic mutations in production.

## 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 webhooks time out after five seconds and retry failed deliveries at one minute, one hour, and six hours, up to three retries.
- Rate-limit evidence comes from request, endpoint, and complexity headers plus `RATELIMITED` GraphQL errors.
- OAuth client-secret rotation invalidates client-credentials tokens immediately but does not revoke existing workspace access/refresh tokens by itself.

## 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

1. Declare severity, commander, affected workspaces/teams, start time, customer impact, and mutation freeze state.
2. Check Linear service status and the smallest read-only authenticated query; capture redacted errors and rate headers.
3. Classify auth, authorization, quota, schema, webhook delivery, downstream queue, or reconciliation failure.
4. Contain retries, pause nonessential producers, preserve webhook delivery IDs, and avoid rotating secrets without an access-impact map.
5. Recover through the smallest approved change, then replay only idempotent or explicitly reconciled work.
6. Close with a gap analysis, missed-event reconciliation, credential review, and regression test.

## 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 |
|---|---|
| Service outage | Pause mutation retries and preserve local queues until service recovery is verified. |
| Auth widespread | Map token type and rotation effects before replacing credentials. |
| Webhook backlog | Acknowledge quickly into a durable queue and deduplicate by delivery ID. |
| Data divergence | Run read-only reconciliation before replaying any writes. |

## Examples

Use a compact handoff that makes scope, mutation authority, and verification evidence reviewable.

Input:

```text
incident=INC-204; symptom=webhook-timeouts; mutation-freeze=true
```

Expected handoff:

```text
class=delivery-path; containment=queue-only; replay=reconciliation-required
```

## Resources

- [Skill-specific official documentation](references/official-docs.md)
- [Linear developer documentation index](https://linear.app/llms.txt)
- [Linear GraphQL API](https://linear.app/developers/graphql.md)
04

Trust audit

BLOCKgrade D · trust 69/100 Do not install this without reading the findings. The audit found something that could harm you or your machine.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codePASS
L2Instruction surface (what it tells the agent)FAIL
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (2)

HIGHPrompt injection · prompt.credential_read · CWE-94, CWE-1427
SKILL.md:16
compatibility: Designed for Claude Code; live verification requires network access and an approved Linear workspace credential
Why it matters. asks the agent to read credentials
HIGHPrompt injection · prompt.credential_read · CWE-94, CWE-1427
SKILL.md:44
Treat app approval, team access, scope changes, credential creation, rotation, revocation, and production access as owner-approved actions.
Why it matters. asks the agent to read credentials

Gates applied: no_behavioural_pass.

Audited 2026-10-09 · audit v0.4.1 · source sha 4f83675ca38afull audit observations/trust-audit/skill/jeremylongshore__linear-incident-runbook.json · Report an issue / request a re-scan
05

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-094f83675ca38aBLOCKD69first audit
06

Questions

What does the Linear Incident Runbook skill do?

Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.

Is Linear Incident Runbook safe to install?

No — not without reading the findings first. The audit graded it D (69/100) and found 2 critical or high issues in the source. Each one is listed on this page with the file and line it is on.

What can Linear Incident Runbook access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

Which assistants does Linear Incident Runbook work with?

Its documentation mentions claude-code. That is what the text claims, not a compatibility test we ran.

How current is this page?

The grade is for one exact copy of the source (4f83675ca38a), read on 2026-10-09. The repository is watched, and a new audit runs when it changes — this is the first audit.

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