CHATBOTS

Draft WAF Allowlist Proposal to Linear from Discord Report

Lets a support engineer confirm a Discord WAF report is a false positive, then auto-drafts a scoped Cloudflare allowlist rule proposal and files it as a Linear ticket…

CategoryChatbots
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerEngineer confirms false positive in DiscordDiscordDiscord
  • ActionRe-fetch firewall event details from CloudflareCloudflareCloudflare
  • LogicDraft scoped allowlist proposalOpenAI
  • ActionFile proposal as Linear issue for reviewLinearLinear
  • OutputPost Linear link back to Discord threadDiscordDiscord

What it does

Converts a confirmed false-positive report in Discord into a ready-to-review change request. The bot drafts a narrowly scoped Cloudflare WAF allowlist proposal (specific path, method, and rule ID) and opens a Linear issue so security signs off before anything touches production.

When to use it

Use it when your team wants a paper trail and human approval on every WAF rule change instead of editing Cloudflare live. The Discord-to-Linear handoff keeps the proposal scoped and auditable.

How it works

  1. 1A support engineer reacts or replies with a confirm keyword on a WAF report message in Discord, triggering the flow.
  2. 2The bot re-fetches the firewall event from Cloudflare to capture the exact rule ID, path, and host.
  3. 3A drafting step builds a minimal allowlist proposal that exempts only the matched path and rule, never a blanket bypass.
  4. 4The proposal is filed as a Linear issue tagged for security review, with the ray ID and evidence attached.
  5. 5The bot posts the Linear link back to the Discord thread so the reporter can track approval.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DiscordCommunity channels + voice + bots.
  2. 2
    Connect CloudflareWorkers, Pages, R2, KV — the edge stack.
  3. 3
    Connect LinearIssues, projects, cycles, triage.
  4. 4
    Connect OpenAIModels, embeddings, files.
  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.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.