Paper Report Delivery

Build, automate, or maintain a daily paper-report delivery pipeline that collects papers, selects A/B groups, generates Chinese summaries and detailed innova...

This skill appears coherent with its purpose, but review a few practical points before installing or running it: - Configure TELEGRAM_TARGET (and remove the placeholder) and ensure your OpenClaw 'channels.telegram' is correctly set up; the send script uses the platform's configured credentials to send messages. - There are no hard-coded credentials in the bundle, but verify there are no hard-coded chat IDs or targets before publishing/using. - The scripts call the OpenClaw CLI (openclaw message send). Running them will use whatever messaging credentials the OpenClaw config provides — run tests in a controlled environment to avoid accidental posting. - Ensure Python (and Pillow) is available in your environment since build_readable_html.py uses PIL for image conversion. - The skill intentionally persists local artifacts (output/, archives) for reliability; if those outputs might include sensitive data, clean or secure the output directory. - If you want stricter isolation, run the pipeline in a sandboxed container or CI job that has only the minimal OpenClaw credentials/targets needed. Overall, the package is internally consistent and on-purpose; the usual operational caution about message-sending credentials and output data applies.

Type: OpenClaw Skill Name: paper-report-delivery Version: 1.0.0 The skill bundle implements a legitimate automated pipeline for generating and delivering academic paper summaries via Telegram. It includes Python scripts for HTML report generation (build_readable_html.py), message formatting (build_telegram_messages.py), and a robust delivery orchestrator (send_html_then_fallback.py) that utilizes a shell-based retry mechanism (send_telegram_retry.sh). The code follows the stated purpose in SKILL.md and references/workflow.md, uses standard OpenClaw messaging utilities, and contains no evidence of data exfiltration, malicious execution, or prompt injection.