Individual skill
harness-security-bench
Run `@metaharness/darwin security bench` (Darwin Shield): evolve a security-detection harness on a 10-vuln/9-decoy corpus and grade TPR/FPR/patch/repro against four baselines. Use when benchmarking security-harness detection. Degrades gracefully without darwin.
plugins/ruflo-metaharness/skills/harness-security-bench/SKILL.md
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Surfaces the upstream `metaharness-darwin security bench` command. **This is
the upstream's own ADR-155 — Darwin Shield — and is the closest reference
implementation for ruflo's nightly self-learning security harness ([#2417](https://github.com/ruvnet/ruflo/pull/2417)).**
## Why this matters for ruflo's ADR-155
ruflo's ADR-155 proposes three learning loops (per-dimension confidence,
severity calibration, auto-fix bid). Loop A trains on accumulated
`(finding, dimension, human_outcome)` tuples — but the gradient signal is
only sound if the underlying detection mechanism converges on a known-good
corpus. Darwin Shield evolves exactly that mechanism on a 10-vuln/9-decoy
ground-truth set. Running this nightly gives us:
- **Empirical floor:** if Darwin Shield's champion can't reach