DOCUMENT OPS

Agent triages README drift and opens Linear tickets with suggested fixes

On a schedule, an agent scans repo READMEs, runs the examples, then reasons about each failure to judge severity and draft a corrected snippet.

CategoryDocument Ops
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled audit
  • ActionPull README code blocks from GitHubGitHubGitHub
  • ActionRun examples in a sandbox and collect errorsShell
  • LogicAgent classifies severity and drafts a fixOpenAI
  • ActionOpen a prioritized Linear ticket per breakLinearLinear
  • OutputPost run summary with ticket linksLinearLinear

What it does

Goes past detection into triage. An agent runs each README's examples, reads the errors, and decides how bad each break is — a one-line import rename versus a quickstart that no longer works at all. For every real failure it drafts a corrected snippet and opens a Linear ticket at the matching priority, so docs fixes arrive pre-diagnosed.

When to use it

Use it when you want fixes, not just alerts, and you triage doc work in Linear. Best where examples break in nuanced ways that a flat pass/fail check can't prioritize for you.

How it works

  1. 1A schedule starts the audit.
  2. 2The agent pulls the target READMEs and their code blocks from GitHub.
  3. 3It runs each block in a sandboxed shell and collects the failures with full error output.
  4. 4The agent reasons over each failure, classifies severity, and drafts a corrected snippet using the model.
  5. 5For each confirmed break it opens a Linear ticket with the diagnosis, the proposed fix, and a priority that maps to severity.
  6. 6It posts a short run summary linking the created tickets.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GitHubRepos, issues, pull requests, actions.
  2. 2
    Connect ShellRun sandboxed commands inside the workspace.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect LinearIssues, projects, cycles, triage.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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