harness-learn✓ ناجح

محتوى SKILL.md

---
name: harness-learn
description: Run a GEPA learning cycle via `metaharness learn` (upstream ADR-235, [email protected]) — optimizes a harness genome against a SWE-bench-style slice manifest. $0 dry-run by default; `--run` is the explicit spend opt-in. Requires a metaharness repo checkout (`--repo` or $METAHARNESS_REPO) — without one it reports `checkout-required` with clone instructions. Degrades gracefully when metaharness is absent.
argument-hint: "--host <h> --model <m> --slice <manifest> [--repo <checkout>] [--run] [--alert-on-fail]"
allowed-tools: Bash
---

Surfaces `metaharness learn` — the upstream GEPA learning harness that
evolves harness policy genomes against a scored task corpus instead of
hand-editing prompts. Candidates are scored on held-out slices and only
measured winners promote (the shipped cand-6 genome is the first such
promotion: holdout gold 2/12 → 3/12, zero regressions).

## When to use

- A harness's policy prompt underperforms on a task family and you want a
  measured improvement loop rather than manual prompt iteration.
- Pricing a learning run before committing spend — the default dry-run
  resolves the slice manifest and reports cost without any model calls.
- After a learn run promotes a genome: pair with `harness-gepa --op render`
  to inspect what the promoted policy actually says.

## Preconditions (upstream design)

The learning harness (GEPA + SWE-bench + Docker) is too heavy for the npm
package, so `learn` needs a local clone:

```bash
git clone https://github.com/ruvnet/metaharness.git
node scripts/learn.mjs --repo ./metaharness --host claude-code --model haiku --slice slices/lite.json
```

Without a checkout the script emits `{status: "checkout-required"}` and
exits 0 — a precondition report, not an error (distinct from
`degraded: true`, which means the npm package itself is absent). The
managed-service path (gateway-side learn jobs, no checkout) is upstream's
ADR-235 follow-up and not available yet.

## Algorithm

Implementation: [`scripts/learn.mjs`](../../scripts/learn.mjs).

1. Validate `--repo` exists when given; export it as `$METAHARNESS_REPO`.
2. Invoke the pinned `metaharness` binary (`metaharness@~0.3.0`, local install
   or one-time versioned cache — never `@latest`): `metaharness learn --host <h>
   --model <m> --slice <s> [--run]` via `_harness.mjs` (graceful degradation,
   hard timeout).
3. Default timeouts: 120s dry-run, 600s with `--run` — real runs on larger
   slices need an explicit `--timeout-ms` matched to slice size × model cost.
4. Detect the checkout-required message → structured payload, exit 0.
5. Parse the trailing JSON report when upstream emits one; otherwise return
   the raw report text under `rawReport`.

## Cost note

`--run` is the ONLY path that spends. Everything else — dry-run, checkout
probe, degraded path — is $0. The MCP tool (`metaharness_learn`) has a 120s
subprocess budget; run real learning cycles from a terminal via
`ruflo metaharness learn ... --run --timeout-ms <big>`.

## Exit codes

- `0` — report produced (or dry-run, checkout-required, degraded)
- `1` — `--alert-on-fail` and the learn run reported failure
- `2` — config error (bad `--repo` path)

الترخيص

الترخيص المُعلن: MIT

MIT License

Copyright (c) 2025 ruvnet

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

عرض الترخيص في المستودع المصدري — النسخة المنشورة هناك هي المرجع.