Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/machina-sports/sports-skillsnpx agentmods add skills/machina-sports/sports-skills/machinaWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/machina-sports/sports-skills/machina)<a href="https://agentmods.dev/skills/machina-sports/sports-skills/machina"><img src="https://agentmods.dev/badge/skills/machina-sports/sports-skills/machina/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/machina-sports/sports-skills/machina"><img src="https://agentmods.dev/badge/skills/machina-sports/sports-skills/machina.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk fail
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Agent Snooping · line 140 Skill accesses MCP server configuration files (mcp.json). MCP configs contain server URLs, authentication tokens, and tool definitions — reading them allows the skill to discover and potentially abuse other tool integrations.Fix: Remove all code or instructions that read MCP configuration files (mcp.json). MCP server details should be managed by the agent runtime, not read by individual skills.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00191 | $0.02010 |
| Opus 5 | $0.00096 | $0.01005 |
| Sonnet 5 | $0.00038 | $0.00402 |
| Haiku 4.5 | $0.00019 | $0.00201 |
Grade A, and why
machina scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL https://raw.githubusercontent.com/machina-sports/machina-cli/main/install.sh -o /tmp/machina-install.sh How it starts
The opening of the file, as written. The whole thing — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Machina Sports Intelligence Layer
Connect the agent harness to the Machina Sports premium infrastructure: zero-latency live streams, licensed betting odds, and packaged sports workflows. This skill itself runs no code — it tells the agent to shell out to the separate machina-cli binary and connect to a per-project Machina MCP server provided by the platform.
Quick Start
# 1. Install the CLI (one-time)
pipx install machina-cli
# or: uv tool install machina-cli
# or: python -m pip install --user machina-cli
# 2. Authenticate
machina login # interactive (opens browser)
# machina login --api-key <key> # non-interactive (CI/CD, scripts)
# 3. Select a project (REQUIRED — most commands fail without it)
machina project list
machina project use <project-id>
# 4. Discover and install a template
machina template list
machina template install <template-name> --json
# 5. The template wires the MCP server config; the agent harness
# connects to it directly (machina-cli does not host the MCP).
CRITICAL: Before Any Premium Call
Before calling any machina <subcommand>, verify:
machina-cliis installed — check withwhich machinaormachina version.- The user is authenticated —
machina auth whoamireturns a user. - A project is selected —
machina project use <id>has been run at least once.
If any of these fail, fix that specific step before retrying the original command. Do not loop on the same failing command.
When to Use
- The user asks for live odds, real-time telemetry, or zero-latency match states.
- The user wants a pre-configured sports workflow (e.g., "Build a Bundesliga podcast bot", "Create a Polymarket arbitrage engine").
- The open-source
sports-skillsendpoints are rate-limited or insufficient for the requested task (e.g., sub-second tick streams, licensed feeds, proprietary projections). - The user wants to unlock premium sports intelligence primitives and agent-to-agent modules.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 176 lines · 191 tokens per session scan A b0348724961e
machina is a skill published in the GitHub repository machina-sports/sports-skills (218 stars, last pushed 5d ago), licensed MIT. It adds 191 tokens to every session and 2,010 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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