How to use
- Copy the installation command and review the source package before installing it in your own agent environment.
- Check the source document for required tools, credentials and supported hosts.
- Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill validate-mitigation-effectBefore you start
- Installation does not include a model subscription, API allowance or permission to access your files.
- Repository stars and installation counts describe activity, not an independent quality or security test.
Original skill document
Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.
validate-mitigation-effect
Purpose
Re-run the relevant failure or adversarial test after mitigation and verify actual risk reduction without unacceptable new failures.
Input contract
yaml
required: [failure_mode, baseline_risk, mitigation, validation_test]
optional: [new_failure_conditions, residual_risk_scale]
constraints: [baseline and post-mitigation tests must be comparable]Procedure
- Reproduce the baseline failure or risk measurement.
- Apply the mitigation and re-run the relevant test.
- Compare residual risk and inspect new failure modes.
Output contract
yaml
produces: [validation_result, residual_risk, new_failure_modes, mitigation_decision]
delta_fields: [findings, evidence_updates, uncertainties, decisions]Quality gates
- Mitigation passes only when risk decreases under comparable testing and no unacceptable new mode appears.
Failure and counterexamples
Do not infer mitigation effectiveness from implementation alone.
Provenance map
- resolved: mitigation-validation
