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jeremydouglaslaw-ui

MLB Daily Scores

by jeremydouglaslaw-ui · GitHub ↗ · v1.0.13
darwinlinuxwin32 ✓ Security Clean
435
Downloads
1
Stars
0
Active Installs
14
Versions
Install in OpenClaw
/install mlb-daily-scores
Description
Daily MLB baseball scores, box scores, starting pitchers, and injury reports for your favourite team. Covers spring training, regular season, and playoffs. R...
Usage Guidance
This skill appears to do exactly what it says: create a local virtual environment, install MLB-StatsAPI and requests, read the skill entry in ~/.openclaw/openclaw.json, and query the public MLB Stats API to produce JSON for the agent to format and deliver. Before installing: (1) confirm you’re comfortable the cron/cron-target (--to) used in examples will deliver outputs to the intended channel/recipient; do not supply unrelated credentials or channel IDs you don't trust; (2) review the setup output when pip installs packages (run setup in an isolated environment if you prefer); (3) verify the .venv path and that the agent uses BASEDIR/.venv/bin/python3 as instructed; and (4) if concerned, scan the rest of fetch_mlb.py for any additional network calls (the visible code uses only MLB Stats API and optional requests). No API keys or unrelated system access are requested by this skill.
Capability Analysis
Type: OpenClaw Skill Name: mlb-daily-scores Version: 1.0.13 The skill bundle is benign. It fetches MLB data from the official MLB Stats API (statsapi.mlb.com) and formats it. The `SKILL.md` explicitly prevents prompt injection by specifying the exact command to run `fetch_mlb.py` with `--config` and disallowing user input interpolation. Input validation is performed on team names and timezones in `fetch_mlb.py`. Dependencies (`MLB-StatsAPI`, `requests`) are standard and installed into a virtual environment. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, or obfuscation. All network calls are to the expected MLB API endpoint.
Capability Assessment
Purpose & Capability
Name/description match the actual behavior: fetch_mlb.py calls the MLB Stats API and (optionally) requests for injury info. The declared binary (python3), the .venv usage, and pip packages (MLB-StatsAPI, requests) are directly relevant to the stated purpose.
Instruction Scope
SKILL.md instructs the agent to run the bundled fetch_mlb.py from the created .venv and to read the skill config from ~/.openclaw/openclaw.json. Those actions are necessary and proportional to producing the scheduled or on-demand report. The instructions do not ask the agent to access unrelated system files or transmit data to unexpected endpoints; network calls are limited to the MLB Stats API and any endpoints used by requests for injury reports.
Install Mechanism
There is no arbitrary remote archive download. setup.py and setup.sh create a .venv in the skill directory and install MLB-StatsAPI and requests from PyPI. This is a standard, expected install mechanism for a Python skill.
Credentials
The skill declares no required environment variables or credentials. It reads only the OpenClaw config file (~/.openclaw/openclaw.json) for its own skill configuration (team/timezone), which is proportionate to its functionality.
Persistence & Privilege
always is false and the skill runs only when invoked or scheduled. It creates a local .venv inside its own directory and does not request modification of other skills or system-wide config beyond the single OpenClaw config entry it documents.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install mlb-daily-scores
  3. After installation, invoke the skill by name or use /mlb-daily-scores
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.13
- Clarified instructions for determining {baseDir}: now explicitly describes how to locate the directory containing SKILL.md and fetch_mlb.py. - Updated all command usage examples and agent instructions to refer to BASEDIR (the resolved base directory) instead of the literal {baseDir} placeholder. - No changes to logic, configuration, command flags, or runtime behavior. - Improved agent guidance to help avoid path resolution errors.
v1.0.12
- Clarified instructions for determining {baseDir}: now explicitly describes how to locate the directory containing SKILL.md and fetch_mlb.py. - Updated all command usage examples and agent instructions to refer to BASEDIR (the resolved base directory) instead of the literal {baseDir} placeholder. - No changes to logic, configuration, command flags, or runtime behavior. - Improved agent guidance to help avoid path resolution errors.
v1.0.11
- Removed explicit pip package requirements from metadata; assumes dependencies are managed elsewhere. - No changes to functionality or usage instructions. - All setup, config, and usage steps remain the same. - No file or code modifications detected in this version.
v1.0.10
- Clarified that the Python virtual environment interpreter at `{baseDir}/.venv/bin/python3` must be used for all script execution. - Added a strong warning not to use `python`, `python3`, or any other Python interpreter, as dependencies are available only in the `.venv`. - No functional code changes; documentation updated for agent and user reliability.
v1.0.9
- Adds .gitattributes file to the repository. - No functional changes to the skill itself; internal/package management only.
v1.0.8
- Adds .gitattributes file to the repository. - No functional changes to the skill itself; internal/package management only.
v1.0.7
- Updated the skill's entrypoint to use the Python interpreter inside a `.venv` virtual environment for more reliable dependency management. - Instructed that the fetch script should now be run using `{baseDir}/.venv/bin/python3 {baseDir}/fetch_mlb.py --config` (instead of just `python3`) in agent instructions. - Clarified that agents should use the entrypoint command defined in metadata when running the fetch script.
v1.0.6
- Updated required binaries: removed "python" from dependencies; now only "python3" is required. - No other changes (functionality, usage, instructions, or formatting remain the same).
v1.0.5
- Updated recommended default cron job to run at 6:00 AM and timezone to America/Toronto (was 9:00 AM, America/New_York). - No functional or API changes; documentation only. - Clarified formatting for requirements under metadata.
v1.0.4
- No changes detected since the previous version; this is a maintenance release. - All instructions, features, and usage remain the same.
v1.0.3
- No code or documentation changes detected in this release. - Version bump only; functionality and usage remain unchanged.
v1.0.2
- Added a new executable file mlb_daily_scores and set it as the skill entrypoint. - Updated dependencies to support "python3" or "python" for better cross-platform compatibility. - Modified postInstall hook to set executable permissions on mlb_daily_scores after install. - Updated instructions to recommend "python" instead of "python3" in fetch script command for Windows compatibility.
v1.0.1
- Adds a setup.py script for improved Python package installation. - Updates the skill to support post-install hooks for automatic dependency installation. - Expands coverage to include spring training, postseason, and exhibition games in addition to the regular season. - The fetch script now uses a --config option to read team/timezone directly from the user config file. - Minor documentation and config improvements for easier setup and broader platform support.
v1.0.0
MLB Daily Scores v1.0.0 - Initial release. - Provides daily MLB baseball scores, box scores, starting pitchers, and injury reports for your favourite team. - Supports both scheduled (cron) and on-demand usage. - Automatically formats reports with yesterday’s recap, today’s preview, and current injuries. - Configurable for any MLB team and local timezone.
Metadata
Slug mlb-daily-scores
Version 1.0.13
License
All-time Installs 0
Active Installs 0
Total Versions 14
Frequently Asked Questions

What is MLB Daily Scores?

Daily MLB baseball scores, box scores, starting pitchers, and injury reports for your favourite team. Covers spring training, regular season, and playoffs. R... It is an AI Agent Skill for Claude Code / OpenClaw, with 435 downloads so far.

How do I install MLB Daily Scores?

Run "/install mlb-daily-scores" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is MLB Daily Scores free?

Yes, MLB Daily Scores is completely free (open-source). You can download, install and use it at no cost.

Which platforms does MLB Daily Scores support?

MLB Daily Scores is cross-platform and runs anywhere OpenClaw / Claude Code is available (darwin, linux, win32).

Who created MLB Daily Scores?

It is built and maintained by jeremydouglaslaw-ui (@jeremydouglaslaw-ui); the current version is v1.0.13.

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