community-automations/discrimination-spotter

Research & Intel

PublicClaude subagent

Workplace Discrimination Spotter

Bias in pay or promotion data is real but easy to miss and dangerous to misread. This spotter scans anonymized HR records for patterns a person should look at.

sonnet1 weekHRIS exportpandasOpenAIConfluence
ClaudeClaude
ROI for
README.md

Why this subagent

Bias in pay or promotion data is real but easy to miss and dangerous to misread. This spotter scans anonymized HR records for patterns a person should look at.

Every finding comes with its caveats: sample size, the limits of the data, and a clear note that this is a signal for human review, not a verdict. It helps an HR or legal team know where to look, without pretending the numbers prove intent.

How it runs

    • Read

      Used at step 01 to kick off the pipeline.

    • Write

      Used at step 01 to kick off the pipeline.

    • WebFetch

      Used at step 01 to kick off the pipeline.

    • WebSearch

      Used at step 01 to kick off the pipeline.

Sample output

json
// Sample output
// (generated when the pipeline finishes)

Report statistical gaps in the HR data by group, always with sample size and a stated caveat; flag for human review and never assert intent or causation.

Unlock the rest

The full agent definition, install snippet, and starter task are gated for community members.

Members get the full `.md` agent file, the npm / pnpm install one-liners, a starter prompt that we've tuned against real runs, and the open-source repo when this automation ships there. One email, magic link, done.