v3.17.0 — MetaHarness learn + GEPA: harness policies become measured, evolved artifacts

v3.17.0 — MetaHarness learn + GEPA: harness policies become measured, evolved artifacts

This release closes the harness-policy lifecycle loop: learn a policy from a scored task corpus → audit what it compiles to → evolve it against fixed benchmarks → analyze why runs fail. Two new MCP tools (13 → 15), two new CLI subcommands (11 → 13), two new skills, and version-pin upgrades across the @metaharness/* family.

New: metaharness learn — learned policies instead of hand-tuned prompts

Wraps upstream metaharness@0.3.0's ADR-235 GEPA learning harness. Instead of a human editing a system prompt and eyeballing the result, learn mutates the harness genome, scores candidates against held-out SWE-bench-style slices, and only promotes measured winners.

# $0 dry-run — resolves the slice and prices the run, no model calls
npx ruflo metaharness learn --host claude-code --model haiku --slice slices/lite.json

# real run — explicit spend opt-in at every layer
npx ruflo metaharness learn --repo ~/src/metaharness --host claude-code \
  --model haiku --slice slices/lite.json --run --timeout-ms 1800000

• $0 by default — spending requires --run (CLI) / run: true (MCP tool metaharness_learn)
• Needs a metaharness repo checkout (--repo or $METAHARNESS_REPO); without one you get a structured {status: "checkout-required"} payload with clone instructions — a precondition report, not an error

New: metaharness gepa — genome inspection and auditing

Surfaces the @metaharness/darwin@0.8.0 GEPA library entry (@metaharness/darwin/gepa) — the first plugin surface with no CLI binary behind it.

npx ruflo metaharness gepa --op genome      # load + validate the shipped cand-6 genome
npx ruflo metaharness gepa --op render      # genome → the system prompt it compiles to
npx ruflo metaharness gepa --op validate --path my-genome.json --alert-on-invalid   # CI gate
npx ruflo metaharness gepa --op analyze --transcript run.json   # failure-class breakdown

Why it matters: evolved policies ship as genome JSON, but the behavior lives in the system prompt the genome compiles to. --op render is the "what does this policy actually say?" view you want before adopting one. The shipped cand-6 genome is the first holdout-confirmed promotion (holdout gold 2/12 → 3/12, zero regressions, empty-patch rate 0.583 → 0.333).

Deliberately not surfaced: gepaOptimize — it takes an in-process bring-your-own-evaluator callback that can't cross a subprocess boundary. Import @metaharness/darwin/gepa directly, or use metaharness_evolve for sandbox-scored evolution.

Version pins refreshed

Package	Before	After
@metaharness/darwin	~0.3.1	~0.8.0 (GEPA engine, new evolve selection modes: pareto, clade, niche-steering, quality-diversity, behavioral-diversity, plus --crossover / --epistasis / --curriculum / --mutator ruvllm)
metaharness	~0.2.6	~0.2.8 (learn arrives via @latest → 0.3.0)
@metaharness/redblue	~0.1.1	~0.1.4
@metaharness/kernel	~0.1.0	~0.1.2

Fixes

• redblue stale-cache trap: the install cache dir is now versioned by the pin (~/.ruflo/redblue-cache-0.1.4), so pin bumps invalidate stale installs — previously a machine that cached 0.1.1 would serve it forever
• gepa stale-install fallback: a pre-0.8.0 darwin in an ancestor node_modules throws ERR_PACKAGE_PATH_NOT_EXPORTED (no ./gepa subpath); gepa.mjs treats that as recoverable and falls back to its versioned cache

Validation

• tsc clean build
• MCP runtime contract: 171/171 assertions across all 15 tools
• Plugin smoke suite: 120/120 steps
• darwin 0.8.0 evolve / bench create|verify / security bench proven through the wrappers; redblue 0.1.4 attack preview proven via the new cache path

All ADR-150 constraints hold: @metaharness/* stays in optionalDependencies, every path degrades gracefully, ruflo remains fully operational with MetaHarness absent.

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Deep-dive: full capabilities walkthrough (usage + rationale) → https://gist.github.com/ruvnet/cdc1bc2259cde127a418f861c3907e1e
PR: #2540