Skill audit report
machina Audit report.
Gateway to the Machina Sports premium platform — packaged agent workflows ("templates"), licensed real-time data, betting odds, and zero-latency live streams. This skill is prompt-only: it shells out to the separate `machina-cli` binary and routes the agent to a per-project Machina MCP server. Use when: the user asks for live odds, real-time telemetry, zero-latency match states, sub-second tick streams, packaged sports workflows (e.g., "Build a Bundesliga podcast bot", "Create a Polymarket arbitrage engine"), or when the open-source sports-skills are rate-limited or insufficient for the task. Don't use when: the user wants snapshot data from public APIs — use the sport-specific skill (nfl-data, polymarket, markets, …). Don't use to fetch data through raw HTTP — use the Machina MCP server, not a `requests` call.
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
211 GitHub stars
Stars/forks activity
WARN57
211 stars, 30 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
2mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
FAIL36
command execution surface, credential or environment access
Install availability
PASS92
npx skills add machina-sports/sports-skills --skill machina
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL22
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/machina-sports/sports-skills/tree/main/skills/machina
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add machina-sports/sports-skills --skill machina
Repository
88
https://github.com/machina-sports/sports-skills/tree/main/skills/machina
License
86
MIT
Maintenance
88
2mo since push
AI review
55
The skill relies on an external CLI and MCP server, which introduces supply-chain and data-exfiltration risks, but these are mitigated by explicit confirmation requirements and inspect-before-run guidance.
README/SKILL.md completeness
86
Usable description available
Dependency risk
36
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
22
secrets or environment access, shell or command execution
Stars/forks activity
57
211 stars, 30 forks; issue activity unavailable in current metadata
Adoption
68
211 GitHub stars
Warnings
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- The skill relies on an external CLI and MCP server, which introduces supply-chain and data-exfiltration risks, but these are mitigated by explicit confirmation requirements and inspect-before-run guidance.
- The skill does not specify what data is transmitted to the Machina MCP server, though the risk metadata discloses cloud upload.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Stars/forks activity: 211 stars, 30 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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