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WorkorAI talent-marketplace skill: candidates search jobs and manage applications; employers run the job lifecycle and get ranked candidate matches with white-box fit explanations.
Passed 15 of 22 test cases with the skill, and 3 of 22 without it.
and 14 more in the full report
12 fixed3 passed either way7 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
Bookmark job ID 'job-552' on WorkorAI so I can review it later, then list all my saved listings.
| Checked | Without skill | With skill |
|---|---|---|
| Uses candidate.set_saved_job to bookmark the job | Missed | Passed |
| Uses candidate.get_saved_jobs to retrieve the user's saved listings | Missed | Passed |
The instructions your model reads when the skill loads.
WorkorAI is a talent marketplace exposed to agents through an MCP server
(streamable HTTP at https://workorai.com/mcp, listed on the official MCP
Registry as io.github.work0r-ai/workorai). This skill routes requests by
intent across the dual-role tool surface: 9 candidate.* tools (job search,
job detail, applications, apply, invitations, saved jobs) and the
employer.* tools (job lifecycle, candidate discovery, invitations,
applicant review). Employer candidate discovery returns tiered rankings
(best/good/weak) with a white-box match explanation per candidate — fit
score, skills proven in interview, gaps, and a quotable rationale — instead
of a black-box score.
Add the WorkorAI MCP server to your agent's MCP configuration. For Claude Code:
claude mcp add --transport http workorai https://workorai.com/mcp
If the user has no API key yet, call the request_access tool and follow
the onboarding it returns.
test cases passed, vs 3 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.