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Scrapes LinkedIn job postings using the JobSpy library (python-jobspy).
Passed 13 of 17 test cases with the skill, and 2 of 17 without it.
and 15 more in the full report
14 fixed3 passed either way5 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
Running the scraper fails with 'ModuleNotFoundError: jobspy'. What command resolves this error?
| Checked | Without skill | With skill |
|---|---|---|
| Directs the user to run pip install -U python-jobspy. | Missed | Passed |
The instructions your model reads when the skill loads.
This skill finds LinkedIn job postings by running tools/jobspy_scraper.py, a thin wrapper
around the JobSpy library. It handles installation,
parameter construction, execution, and result interpretation.
Install the dependency once (requires Python 3.10+):
python3.12 -m pip install -U python-jobspy --break-system-packages
Run the scraper:
python3.12 tools/jobspy_scraper.py \
--search "software engineer" \
--location "San Francisco, CA" \
--results 25 \
--output .tmp/jobs.csv
Results are saved as CSV and printed as a summary table.
Identify from the user's message:
hours_old filter if user wants recent posts (e.g. "last 48 hours")linkedin_company_ids if targeting a specific company--fetch-descriptions if user needs job description texttest cases passed, vs 2 / 17 without
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