OpenClaw Slack Admin Guide: Managing Users and Permissions

Why Permissions Matter More With an AI Agent

Adding an AI agent to your Slack workspace isn't quite like adding another bot or integration. SlackClaw's OpenClaw agent can take actions — filing a GitHub issue, updating a Linear ticket, sending a draft email via Gmail, or writing a page to Notion. That autonomy is exactly what makes it valuable, but it also means your permission model needs to be deliberate rather than an afterthought.

This guide walks Slack workspace admins through every layer of access control available in SlackClaw: from onboarding your first users to locking down which integrations a particular team can touch. Whether you're running a 10-person startup or a 500-person engineering org, these patterns will help you ship fast without creating a security mess.

Understanding the SlackClaw Permission Model

SlackClaw runs on a dedicated server per team — your workspace's agent instance is isolated from every other customer. That architectural decision matters for compliance and auditing, but permissions still live at the application layer. There are three distinct levels you'll manage:

• Workspace-level settings — controlled by Slack admins, govern who can invoke the agent at all
• Integration-level scopes — which connected tools (from the 800+ available via one-click OAuth) each user or group can actually use
• Skill-level permissions — granular controls over individual custom skills your team has built or installed

These three layers stack. A user needs to pass all three gates before an action executes. That layered design means you can grant broad integration access to power users while keeping contractors limited to read-only operations on a specific tool.

Setting Up Your First Admin Account

When a Slack workspace owner first installs SlackClaw, the installing account automatically becomes the SlackClaw Owner. This is separate from your Slack admin role — someone can be a Slack admin without having SlackClaw admin privileges, and vice versa.

Promoting Additional Admins

Navigate to the SlackClaw dashboard, open Settings → Team → Roles, and use the promotion flow:

# In the SlackClaw dashboard — Roles panel
1. Click "Invite or promote admin"
2. Search by Slack display name or email
3. Choose role: Owner | Admin | Member | Viewer
4. Set optional expiry date (useful for contractors or auditors)
5. Save — the user receives a Slack DM notification automatically

As a rule of thumb: keep the Owner role to one or two people, use Admin for team leads who need to manage integrations, and default everyone else to Member.

Controlling Integration Access

SlackClaw connects to over 800 tools via one-click OAuth — GitHub, Jira, Linear, Gmail, Notion, Salesforce, Slack itself, and hundreds more. By default, any Member can request a new integration, but only Admins can approve and connect one. You can tighten or relax this in Settings → Integrations → Approval Policy. Learn more about our security features.

Scoping Integrations to Specific Channels or Groups

Not everyone needs access to every connected tool. A customer success team probably shouldn't be able to push commits via the GitHub integration, even if engineering uses it daily. Use Integration Groups to create scoped bundles: Learn more about our pricing page.

1. Go to Integrations → Groups → New Group
2. Name the group (e.g., Engineering Tools or CS Read-Only)
3. Add integrations: check GitHub, Linear, Notion for engineering; check Salesforce, Gmail for CS
4. Assign Slack user groups or individual users to each Integration Group
5. Set permission level per integration: Full Access, Read Only, or Invoke Only (the agent can use the tool but users can't see raw credentials)

Tip: The Invoke Only level is particularly useful for integrations that hold sensitive credentials — like a production database connector or a Stripe API key. Users can ask the agent to run queries or pull reports, but they never see the underlying token stored on your dedicated server.

Managing the Agent's Persistent Memory

One of SlackClaw's most powerful features is its persistent memory and context — the agent remembers project context, past decisions, team preferences, and ongoing work across sessions. For admins, this raises an important question: who can read, edit, or delete memory entries?

Memory Visibility Settings

Memory entries fall into three visibility tiers:

• Private — visible only to the user who created it. Great for personal preferences like "always use Python 3.12" or "format my Jira summaries in bullet points."
• Channel — shared with everyone who has access to a given Slack channel. Useful for project-specific context like sprint goals or stakeholder preferences.
• Workspace — visible to all Members. Appropriate for company-wide conventions: coding standards, brand voice guidelines, standard operating procedures.

As an admin, you can audit all non-private memory entries from Settings → Memory → Audit Log. You can also bulk-delete entries by tag, user, or date range — which is useful when offboarding an employee or closing out a project.

Offboarding Users Safely

When a team member leaves, their private memory entries are not automatically deleted — they're retained for 30 days in case of accidental removal, then purged. Their channel and workspace-scoped entries remain active. The offboarding checklist:

1. Revoke the user's SlackClaw role under Settings → Team → Roles
2. Review their workspace-scoped memory entries for anything sensitive — delete or reassign ownership
3. Check the audit log for recent agent actions taken under their account
4. Remove them from any Integration Groups that hold privileged credentials

Configuring Custom Skills and Automation Permissions

SlackClaw's OpenClaw framework lets your team build or install custom skills — reusable agent behaviors that can chain together multiple tools. An example skill might pull open tickets from Jira, cross-reference commit history in GitHub, and post a standup summary to a Slack channel every morning.

Skills are powerful precisely because they can run autonomously on a schedule or trigger. That's why they have their own permission layer.

Skill Execution Policies

For each installed skill, you can configure:

Execution Policy Options:
  - Require approval before each run
  - Run autonomously (no approval needed)
  - Run autonomously but log every action to #slackclaw-audit
  - Disabled (installed but not runnable)

For skills that touch write operations — creating records in Salesforce, merging PRs, sending external emails via Gmail — we strongly recommend starting with Require approval until you've validated the skill's behavior in your environment. Once you trust it, flip to autonomous with audit logging enabled.

Restricting Who Can Install Skills

By default, only Admins can install new skills from the SlackClaw skill library or import custom ones. You can delegate skill installation to specific users — useful if you have a RevOps lead who maintains all the Salesforce skills independently — without giving them full Admin access: For related insights, see Slack Automation Tools Compared: OpenClaw, Tray.io, and Make.

1. Open Settings → Skills → Installation Permissions
2. Toggle "Allow designated skill managers"
3. Add users by name — they gain skill install/edit rights scoped to their assigned Integration Group only

Credit Usage and Spending Controls

SlackClaw's credit-based pricing means you pay for what the agent actually does, not for seats. That's a significant advantage for teams where only a subset of users are heavy AI users — you're not subsidizing unused licenses. But it does mean admins should set guardrails to avoid unexpected usage spikes.

Under Settings → Billing → Usage Controls, you can:

• Set a monthly credit budget per user or user group — useful for limiting how much an individual contractor can spend
• Configure alerts at 50%, 80%, and 100% of your workspace's monthly allocation
• Enable hard caps that pause autonomous skills if a threshold is exceeded (preventing runaway loops from draining your credits)
• Review a per-action credit breakdown in the audit log — you can see exactly which skill, integration, and user account generated each credit charge

Note on autonomous agents and cost: Multi-step autonomous tasks — like a skill that researches a lead, enriches a CRM record, drafts a follow-up email, and schedules a meeting — consume more credits than single-step queries. Audit these skills early and set realistic budgets before enabling them workspace-wide.

Audit Logging and Compliance

Every action the OpenClaw agent takes on behalf of a user is recorded in SlackClaw's audit log: timestamp, invoking user, skill or direct prompt, integration used, specific API call made, and outcome. Logs are retained for 90 days on standard plans and exportable as JSON or CSV for SIEM integration.

If your organization has compliance requirements — SOC 2, HIPAA, or internal IT policies — the audit log export is your primary evidence artifact. Configure a weekly automated export under Settings → Compliance → Scheduled Exports and push it to an S3 bucket or your SIEM of choice using the webhook integration. For related insights, see Creating Time-Based OpenClaw Skills for Slack Automation.

Quick-Reference: Admin Checklist for New Workspaces

• Assign Owner and Admin roles to appropriate team members
• Set integration approval policy (Admin-only is recommended)
• Create Integration Groups scoped to each team or function
• Review default memory visibility settings and update to match your data policies
• Set skill execution policies to Require approval for any write-capable skills
• Configure credit budgets and alert thresholds before rolling out to the full workspace
• Enable scheduled audit log exports if you have compliance obligations

Getting the permission model right at the start saves significant cleanup work later. With these controls in place, you can confidently expand SlackClaw access to more of your team — knowing the agent is working for everyone without creating exposure you didn't intend.