القائمة
Continuously monitor a job until completion or timeout. Polls job status at regular intervals and provides progress updates. Use when you need to wait for a job to complete and get final results.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Retrieve the OGC API - Processes conformance classes that the Weaver instance implements. Shows which parts of the OGC standard are supported. Use to verify compliance and feature availability.
Run Weaver code test and lint validations through Makefile targets. Prefer `make check*`, `make fix*` and `make test*` commands over direct tool calls to stay aligned with project CI behavior and environment setup.
Maintain and update Agent Skills documentation when Weaver codebase changes. Detect code modifications in weaver/cli.py, Makefile, docs/, and configuration files, then systematically update relevant skills to keep documentation synchronized. Use when contributing code changes or maintaining skills framework.
Create new Agent Skills for Weaver capabilities. Learn skill structure, naming conventions, metadata requirements, and best practices for documenting new capabilities.
Retrieve general API information including server details, supported endpoints, API version, and contact information. Use to verify Weaver instance availability and get basic service metadata.
Retrieve detailed version information including Weaver version, database schema version, and deployed commit hash. Use for version verification, troubleshooting, and ensuring compatibility.
| name | job-monitor |
| description | Continuously monitor a job until completion or timeout. Polls job status at regular intervals and provides progress updates. Use when you need to wait for a job to complete and get final results. |
| license | Apache-2.0 |
| compatibility | Requires Weaver API access. |
| metadata | {"author":"fmigneault"} |
Continuously monitor a job until completion or timeout with regular status polling.
# Monitor with defaults
weaver monitor -u $WEAVER_URL -j a1b2c3d4-e5f6-7890-abcd-ef1234567890
# Custom timeout and interval
weaver monitor -u $WEAVER_URL -j a1b2c3d4-e5f6-7890-abcd-ef1234567890 -tS 300 -tI 10
# Execute and monitor in one command
weaver execute -u $WEAVER_URL -p my-process -I inputs.json -M
from weaver.cli import WeaverClient
client = WeaverClient(url="https://weaver.example.com")
# Start monitoring
status = client.monitor(
job_id="a1b2c3d4-e5f6-7890-abcd-ef1234567890",
timeout=300,
interval=10
)
print(f"Final status: {status.body['status']}")