SECOPS
Agent-driven secret leak investigation and guided response on push
When a live secret lands in a push, an agent investigates the blast radius across the repo's history and dependencies, drafts a tailored remediation plan.
How it runs
The automated pipeline, trigger to output.
- TriggerGitHub push event receivedGitHub
- LogicVerify live secret and hand to agent
- ActionAgent investigates history and blast radiusGitHub
- ActionAgent drafts ranked remediation planOpenAI
- ActionPost plan to Slack for human approvalSlack
- OutputRecord chosen response for follow-up
What it does
This workflow hands a confirmed leaked secret to an agent that does the investigative legwork a responder would: it traces how long the secret has been in history, which services likely consume it, and what downstream systems are at risk. The agent then drafts a specific remediation plan (rotate, revoke, scrub history, notify) and posts it to the Slack incident channel for a human to approve before any destructive action.
When to use it
Use it when a raw detection is not enough and you want context and a recommended plan before responders act, especially for older or widely used credentials where blast radius is unclear. Best for teams that want investigation accelerated but keep a human in the loop.
How it works
- 1A GitHub push event triggers the workflow.
- 2A scan-and-verify logic step confirms a live secret and passes it to the agent.
- 3The agent investigates commit history, references, and likely consumers across the org.
- 4The agent drafts a ranked remediation plan with blast-radius notes.
- 5A Slack action posts the plan to the incident channel with approve and reject actions.
- 6The output records the chosen response for follow-up once a human decides.
Set it up
What you configure once, before turning it on.
- 1Connect GitHubRepos, issues, pull requests, actions.
- 2Connect SlackChannels, DMs, threads, mentions.
- 3Connect OpenAIModels, embeddings, files.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
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