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openclaw-mission-control

Coordinate AI agent teams via a Kanban task board with local JSON storage. Enables multi-agent workflows with a Team Lead assigning work and Worker Agents executing tasks via heartbeat polling. Perfect for building AI agent command centers.

73

3.41x

Quality

58%

Does it follow best practices?

Impact

99%

3.41x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./data/skills-md/0xindiebruh/openclaw-mission-control-skill/openclaw-mission-control/SKILL.md
SKILL.md
Quality
Evals
Security

Evaluation results

100%

72%

Content Writer Agent Setup

Worker agent heartbeat workflow

Criteria
Without context
With context

Check tasks endpoint

30%

100%

Pick up todo tasks

0%

100%

Log progress step

50%

100%

Valid log action value

0%

100%

Complete task endpoint

0%

100%

Deliverables array

0%

100%

Check @mentions endpoint

0%

100%

Mark mentions as read

0%

100%

Five distinct steps

100%

100%

File placement

100%

100%

Without context: $0.2640 · 1m 21s · 17 turns · 19 in / 4,145 out tokens

With context: $0.4171 · 1m 22s · 20 turns · 25 in / 4,445 out tokens

99%

53%

Product Launch Coordination Script

Team Lead task lifecycle management

Criteria
Without context
With context

Seed call included

0%

100%

Task creation endpoint

100%

100%

createdBy field

0%

100%

assignee field

100%

100%

Valid priority values

0%

100%

Priority reflects urgency

37%

100%

Move to todo step

0%

100%

Approval via done status

0%

100%

Correct lifecycle order

70%

100%

Content-Type header

100%

87%

Multiple tasks created

100%

100%

Without context: $0.5993 · 2m · 30 turns · 29 in / 6,863 out tokens

With context: $0.3230 · 1m 6s · 14 turns · 272 in / 3,668 out tokens

100%

87%

E-Commerce Operations Agent Team Setup

Multi-agent team configuration

Criteria
Without context
With context

AGENT_CONFIG export

0%

100%

brand object present

0%

100%

Agent required fields

40%

100%

sessions.list structure

0%

100%

Worker agentDir field

0%

100%

Heartbeat polling config

0%

100%

IDs match across configs

50%

100%

Agent directory paths

0%

100%

Workspace directories

0%

100%

data/ in gitignore

0%

100%

Lead has no heartbeat

50%

100%

Without context: $0.5797 · 1m 51s · 33 turns · 1,443 in / 6,794 out tokens

With context: $0.4820 · 1m 21s · 25 turns · 30 in / 4,745 out tokens

Repository
NeverSight/skills_feed
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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