Bug Triage Assistant

📖 Use case: Use OpenClaw to automate bug triage: categorize new issues, suggest priority and labels, and optionally assign to the right person-pulled from Telegram, Slack, or Discord. Works with GitHub, GitLab, and Jira via ClawHub skills. Self-hosted; your issue data stays on your infrastructure.

Overview

Bug triage is the process of reviewing incoming bug reports and feature requests: classifying them (bug vs feature vs question), setting priority and severity, adding labels, and often assigning an owner. Doing this manually is time-consuming and inconsistent. With OpenClaw, you can run an AI agent that reads new issues (from GitHub Issues, GitLab, or Jira), applies your triage rules, and either suggests labels/assignees in chat or updates the tracker via skills-so your team gets consistent triage and fewer back-and-forth clarifications.

What you'll learn:

  • Why use OpenClaw for bug triage (vs manual or other tools)
  • Prerequisites: OpenClaw, channel, and tracker access
  • Step-by-step setup: channel choice, agent instructions, and ClawHub skills for GitHub/GitLab/Jira
  • Defining triage rules (labels, severity, assignee logic) in your agent
  • Best practices and common pitfalls
  • Advanced ideas: multi-repo triage, SLA rules, and daily digests

Why OpenClaw for Bug Triage?

  • 24/7 and proactive: The agent can run on a schedule (e.g. cron) or react to webhooks when new issues are created, so triage happens even when no one is online.
  • Context-aware: OpenClaw’s persistent memory lets the agent remember your project’s labels, components, and past triage decisions for consistency.
  • Multi-tracker: Use ClawHub skills for GitHub, GitLab, or Jira; one agent can triage across repos or projects if you expose them via skills.
  • Chat-first workflow: Get triage suggestions in Telegram or Slack-approve, edit, or ask the agent to apply labels/assignments, so you keep control without leaving your messaging app.
  • Self-hosted: Issue titles and descriptions never leave your infrastructure; important for sensitive or private repos. See security best practices.

Prerequisites

Implementation Guide

Step 1: Choose your channel and install tracker skills

Pick where you want to receive triage suggestions and act on them (e.g. a dedicated Slack channel or Telegram group). Ensure that channel is configured in OpenClaw and working (openclaw status). Then install the skills that connect OpenClaw to your tracker:

  • GitHub: Use a GitHub skill from ClawHub (e.g. “GitHub” for issues, PRs, and repo access). Configure the skill with a GitHub token that has repo and issues scope (or minimal scopes your triage workflow needs). See skills security-audit skills before use.
  • GitLab / Jira: Search ClawHub for “GitLab” or “Jira” skills. Configure with the appropriate API token or OAuth so the agent can read and optionally update issues.

Verify the skill can list and read issues (e.g. ask the agent in chat: “List open issues in repo X” or “Show me the latest Jira tickets”).

Step 2: Define your triage agent instructions

Create or edit an agent dedicated to bug triage. In its system prompt (or via agent customization), define:

  • Role: “You are a bug triage assistant for [project/product]. Your job is to classify new issues and suggest labels, priority, and assignee.”
  • Input: “When given an issue title and description (and optionally link), analyze it and respond with: Type (bug / feature / question / other), Suggested priority (e.g. P0–P3 or High/Medium/Low), Suggested labels (from our list: [list your labels]), Suggested assignee (from team: [names or handles]), and a one-line summary.”
  • Rules: Add your project-specific rules, e.g. “Security-related keywords → always P0 and label security,” “Crash in production → P0,” “Docs typo → P3 and label documentation.”

Example snippet for the system prompt:

When triaging an issue:
- Output: type, priority (P0/P1/P2/P3), labels (comma-separated from our set), suggested assignee, summary.
- Use "bug" for broken behavior, "feature" for new capability requests, "question" for support/discussion.
- If the description mentions "crash", "data loss", or "security", set priority P0 and add label "critical".

Step 3: Wire issues into the agent (webhook or schedule)

You need to feed new issues to the agent. Two common patterns:

  • Webhooks: If your tracker supports webhooks (GitHub, GitLab, Jira do), configure a webhook that sends “issue created” events to OpenClaw (or to a small middleware that posts the issue title/body into your channel). The agent can then be invoked with that message and respond with triage suggestions.
  • Schedule (cron): Use a scheduled task (e.g. via a skill or external cron that calls OpenClaw) to periodically fetch new issues and send them to the agent. The agent analyzes each and replies in the channel with suggested triage; a human or another automation can then apply changes in the tracker.

If you use a skill that can both read and update issues, you can instruct the agent to apply labels/assignee directly after suggesting (e.g. “Apply the suggested labels to issue #123”). Otherwise, keep a human-in-the-loop: agent suggests in chat, you confirm and apply in the tracker or ask the agent to apply via the skill.

Step 4: Test and refine

Send a few real or sample issues (paste title + description into the channel) and check that the agent’s triage output matches your expectations. Adjust the system prompt and rules. If the agent uses a skill to update issues, test on a non-critical repo first. Use openclaw logs --follow to debug. For more help, see the troubleshooting guide.

Best Practices

  • Start with one repo or project: Get triage working well for a single repo before scaling to many.
  • Document your label and priority scheme: Put it in the agent’s system prompt so the AI stays consistent; reference it in your team docs.
  • Human review for critical issues: For P0/security, consider having the agent suggest only and require human approval before applying.
  • Protect tokens: Use credential management and minimal scopes; never paste tokens in prompts. Follow security best practices.
  • Audit skills: Any skill that can write to your tracker should be from a trusted source and reviewed per skills security.
  • Iterate on prompts: Collect edge cases (e.g. vague issues, duplicate reports) and refine the agent’s instructions and examples.
  • Community: Share patterns or ask for feedback in the Discord community.

Common Issues & Solutions

Issue Cause Solution
Agent suggests wrong labels Unclear or missing rules in system prompt; label set not specified Add explicit label list and priority rules to the agent prompt; include 2–3 example issues and desired output
Skill can’t read or update issues Insufficient API scopes or invalid token Check token scopes (e.g. repo, issues for GitHub); verify credentials in skill config; see troubleshooting
New issues not reaching the agent Webhook not configured or wrong URL; cron/schedule not set Confirm webhook payload and endpoint; test with a manual message containing issue title/body; verify schedule if using cron
Agent applies changes without approval Instructions tell agent to auto-apply Change prompt to “suggest only” and require explicit user confirmation before applying labels/assignee via skill
Rate limits or slow responses Too many issues per run or API rate limits Batch size limits; add delay between API calls; use a model with higher rate limits if needed (model providers)

Need more help? See our full troubleshooting guide and skills issues.

Advanced Tips

  • Multi-repo triage: One agent with access to multiple repos (via one or more skills) can triage issues from different projects; use the system prompt to include repo-specific label sets or routing rules.
  • SLA-style rules: In the prompt, add rules like “If unlabeled for more than 24 hours, suggest P2 and label needs-triage.” The agent can surface this in daily digests.
  • Daily triage digest: Use a scheduled task to fetch “new issues in the last 24h” and ask the agent to summarize and suggest triage for each; post the digest to a Slack/Telegram channel.
  • Duplicate detection: Instruct the agent to compare new issue text with recent open issues (if the skill supports search) and suggest “possible duplicate of #X” when relevant.
  • Custom skills: For bespoke workflows (e.g. internal Jira custom fields), consider creating a custom skill that reads/updates your tracker and exposing it to the triage agent.

For more automation ideas, see advanced configuration and the use cases hub.

Related Resources

Next Steps

After setting up bug triage, consider: