mission-clawLog agent activities to Mission Claw dashboard with token usage tracking. Use when completing significant tasks, subagent work, or any action worth recording in the activity feed. Triggers on task completion, activity logging, or tracking agent work.
Install via ClawdBot CLI:
clawdbot install tsangwailam/mission-clawGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → http://localhost:3100/api/activity`Calls external URL not in known-safe list
https://github.com/tsangwailam/mcclawAI Analysis
The skill sends data only to a local daemon (localhost:3100/3101) as documented, with no evidence of exfiltration to external servers. The external GitHub repository is for source code, not runtime data collection. The primary risk is low and relates to potential local data collection if the daemon is malicious, but this is inherent to any installed CLI tool.
Audited Apr 17, 2026 · audit v1.0
Generated Mar 1, 2026
A development team uses Mission Claw to log completed features, bug fixes, and code reviews, tracking token usage per task to monitor AI-assisted coding efficiency. This helps in sprint retrospectives by providing data on time and resources spent, enabling better project estimation and resource allocation.
Content creators log each article, video script, or social media post as a task, recording token consumption for AI-generated drafts and edits. This allows the agency to bill clients accurately based on AI usage and track project progress across multiple writers and editors in real-time.
Researchers log activities like data scraping, analysis runs, and report generation, using token tracking to quantify AI assistance in processing large datasets. This supports grant reporting by detailing computational costs and helps optimize AI tool usage for future studies.
Support agents log resolved tickets, noting AI-generated responses and troubleshooting steps with token counts. This provides insights into AI efficiency in handling common issues, aiding in training improvements and service level agreement compliance monitoring.
DevOps engineers log infrastructure changes, deployment tasks, and incident responses, tracking tokens used for AI-assisted scripting and automation. This enhances audit trails for compliance and helps in cost management by correlating AI usage with system performance metrics.
Offer Mission Claw as a SaaS tool with tiered subscriptions for teams, providing advanced dashboards, historical data analysis, and integration with project management tools. Revenue comes from monthly fees based on user count and data retention, appealing to businesses needing detailed AI usage insights.
Sell enterprise licenses with custom integrations, on-premise deployment options, and dedicated support for large organizations. Revenue is generated through one-time license fees and annual maintenance contracts, targeting industries with strict data privacy and high-volume AI operations.
Provide a free version for individual users with basic logging, while charging for premium features like team collaboration, advanced reporting, and API access. Revenue streams include upgrades to paid plans and add-ons for specific integrations, encouraging adoption and upselling.
💬 Integration Tip
Integrate Mission Claw into existing CI/CD pipelines by adding logging commands in post-task scripts, ensuring token usage is captured automatically without manual intervention for seamless workflow tracking.
Scored Apr 19, 2026
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