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+# RSI research harness
+
+Research tooling only. Model-driven suites incur provider charges; the self-tests below do not.
+The learning loops, v1 delivery, bootstrap, and drift suites require the **`learn` features from
+PR #1405**. This harness-only branch does not supply them. Use a checkout containing those
+features through `ALTIMATE_CMD`; changing product code is outside this experiment.
+The verifier, fake backend, and local `none`/`gold`/`playbook` evaluation arms do not need `learn`.
+
+Prerequisites: Bun, Git, repository dependencies installed for the selected CLI, and Python
+3.10+ for the dbt environment (harness syntax supports 3.9+). The local checks used Python 3.11.
+For example, from the repository root:
+
+```bash
+python3.11 -m venv /tmp/rsi-dbt
+/tmp/rsi-dbt/bin/pip install dbt-core==1.12.5 dbt-duckdb==1.11.0
+export DBT_BIN=/tmp/rsi-dbt/bin/dbt
+export DBT_PYTHON=/tmp/rsi-dbt/bin/python
+```
+
+Pin package versions and record the CLI commit and model IDs alongside any reported results.
+The shared default CLI is this repository's `packages/opencode/src/index.ts`; baseline and fix
+comparison wrappers retain their historical `rsi-base` and `rsi` worktrees. An override is a
+shell-quoted command string, e.g. `ALTIMATE_CMD="bun run --conditions=browser '/path with spaces/src/index.ts'"`.
+Model-driven runs need provider authentication usable from the isolated homes. Account/org policies
+may block Claude, including Claude on Vertex; choose models your account can use. The harness checks
+requested model IDs before evaluation and treats timeouts, errors and incomplete turns as failed runs.
+
+## Running suites
+
+Free local checks (from the repository root):
+
+```bash
+experiments/rsi-workspace/demo/run_task.sh selftest
+python3 experiments/rsi-workspace/fake-backend/selftest.py
+python3 experiments/rsi-workspace/harness/selftest.py
+python3 experiments/rsi-workspace/harness/v1bench/selftest.py
+```
+
+Model-driven suites, from `experiments/rsi-workspace/harness/`:
+
+```bash
+bash run_all.sh my-ci-loop                 # train / validation gate / publish / heldout arms
+bash run_corrections.sh my-corrections     # simulated teammate corrections / publish / eval
+python3 eval.py --arm gold --runs 1 --run-id my-eval --out runs/my-eval/eval/gold.jsonl
+bash run_arms.sh my-ci-loop                # rerun final arms of an existing completed loop
+python3 publish_replace.py runs/my-ci-loop # recover publishing using supported publish/update
+bash budget/run_budget.sh                 # rule-budget arms
+bash budget/run_budget2.sh                # scope/conflict arms
+bash budget/run_drift.sh my-drift "${REFLECTOR_MODEL:-google-vertex/gemini-3.5-flash}"
+FIX_SRC_ROOT=/path/to/fix-checkout bash budget/run_drift_matrix.sh
+FIX_SRC_ROOT=/path/to/fix-checkout bash budget/run_drift_matrix2.sh
+bash v1bench/run_baselines.sh              # n50-short / all-50 / all-300 / all-1000
+bash v1bench/run_all_v1.sh                 # retrieval, vague task, topic, bootstrap, drift suites
+bash v1bench/run_fix_v1.sh                 # focused fix comparison (ALTIMATE_CMD selects checkout)
+```
+
+See [v1 suite plan](harness/v1bench/PLAN.md), [topic switch](harness/v1bench/topic_switch/README.md),
+[vague tasks](harness/v1bench/vague_tasks/README.md), [demo](demo/README.md), and
+[fake backend](fake-backend/README.md) for task definitions and additional switches.
+`fake-backend/demo.sh` runs the model-driven two-user workspace demo.
+IDs must be simple names (letters/digits plus `.`, `_`, `-`); empty, absolute and traversing IDs
+are rejected. Main loops require a fresh run ID. Recovery/evaluation replaces complete arm output;
+v1 resumes only outputs containing the exact unique expected task/run keys.
+
+## Environment
+
+| Variable | Default / meaning |
+|---|---|
+| `ALTIMATE_CMD` | Bun CLI in this repository; honors quoted paths |
+| `DBT_BIN`, `DBT_PYTHON` | `dbt` on PATH; Python beside dbt, or explicitly selected interpreter |
+| `AGENT_MODEL` | Shared Python drivers: `google-vertex-anthropic/claude-haiku-4-5@20251001`; v1 and budget drift shell drivers: `google-vertex/gemini-3.5-flash` |
+| `REFLECTOR_MODEL`, `REVIEWER_MODEL` | Shared default: `google-vertex-anthropic/claude-sonnet-4-6@default`; drift shell reviewer: `google-vertex/gemini-3.1-pro-preview`; independently overridable |
+| `BACKEND` | Historical default `saas`, requiring explicit opt-in; `fake` uses loopback and isolated test users |
+| `ALLOW_REAL_SAAS` | Unset; must equal `1` to permit real workspace access |
+| `WORKSPACE_ID` / `--workspace-id` | Required positive ID for SaaS; binding must resolve to it |
+| `SAAS_CREDS_DIR` | No default; explicit directory containing `home-a/.altimate/altimate.json` and `home-b/...` for SaaS |
+| `RUNS`, `PARALLEL`, `K`, `RUNS_VAL` | Wrapper sample count, concurrency, iterations and validation repetitions |
+| `AGENT_TIMEOUT`, `STAGGER_SECONDS` | Agent deadline (600s), startup spacing (3s) |
+| `BASELINE_FROM` | Corrections driver defaults to `runs/saas-v2/eval/none.jsonl`; set empty to evaluate anew; retain original logs when reusing |
+| `FIX_SRC_ROOT`, `STRONG_MODEL`, `WEAK_MODEL` | Drift matrix checkout (historical `rsi-fix` worktree by default), reflector choices |
+| `BUDGET_REAL_FILE` | Optional real-lesson source; defaults to `runs/corr-main/playbooks/final.md` |
+| `FAKE_DEBUG_TOKEN` | Standalone fake-server admin token; unset disables debug routes; harness generates its own |
+
+SaaS publishing can update an existing **owned** `team-playbook`. Only run it against an intended test
+workspace, with `BACKEND=saas ALLOW_REAL_SAAS=1 WORKSPACE_ID=... SAAS_CREDS_DIR=...` (Python entrypoints use
+`--backend saas --workspace-id ...`). No real SaaS or paid benchmark is needed for self-tests.
+
+Lesson pools/playbooks are deterministic: regenerate with `python3 harness/v1bench/pool.py` then
+`python3 harness/v1bench/make_playbooks.py` from this directory. Committed pools, playbooks, lesson IDs/order, and benchmark treatment defaults match `780168ab18`.
+Historical result Markdown predates these verifier and delivery fixes; it is retained as historical evidence,
+not rescored or claimed as current benchmark results.
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+# acme-shop RSI demo: does the agent learn team conventions over time?
+
+For humans running the experiment. **The agent never sees `demo/`**; it only gets a workdir made by
+`prepare_workdir.py` (a copy of `project/`) and the one-line ticket prompt.
+
+```
+demo/
+  project/                 dbt-duckdb project "acme_shop" (the agent's repo; README does not document the conventions)
+  verifier/
+    check.py               hidden CI: check.py <workdir> <task_id> -> JSON
+    tasks/*.json           14 tasks: id, split, prompt, source, table, target_model, check_type, setup, verify
+    gold/                  hand-written gold solutions (train-refunds, heldout-invoices, 2 controls)
+    gold_playbook.md       upper-bound arm: the conventions as a SKILL.md body
+    selftest.py            gold must pass; naive / over-applied / garbage must fail
+  prepare_workdir.py       <task_id> <dest>: copy project, git init (+fake origin), commit, dbt seed. Idempotent.
+  run_task.sh              prepare | check | selftest | list wrapper
+```
+
+## Commands
+
+```bash
+python3.11 -m venv /tmp/rsi-dbtenv
+/tmp/rsi-dbtenv/bin/pip install dbt-core==1.12.5 dbt-duckdb==1.11.0
+export DBT_BIN=/tmp/rsi-dbtenv/bin/dbt   # default: dbt on PATH
+# DBT_PYTHON defaults to the python next to DBT_BIN (needs duckdb), else the current interpreter
+./run_task.sh list
+./run_task.sh prepare train-refunds /tmp/wd      # fresh workdir; prints the ticket prompt. Re-running rebuilds it.
+#   ... agent works in /tmp/wd with the prompt ...
+./run_task.sh check train-refunds /tmp/wd        # JSON; exit 0 iff all checks ok (~6s, never modifies /tmp/wd)
+./run_task.sh selftest                           # ~55s; --all-gold solves all 12 staging tasks programmatically; --all-naive
+```
+
+A generic harness reads each `tasks/<id>.json`: `setup` and `verify` are argv templates (run from `demo/`, `{workdir}`
+substituted). Output: `{"task_id","pass","score","checks":[{"name","kind","ok","message"}]}`; `score` = fraction of checks ok,
+`kind` is `lint` (message may name the rule) or `data` (symptom only). Per-check `ok` gives per-convention scores.
+
+The verifier copies the workdir to a temp dir, replaces `seeds/`, overlays pristine `macros/`, restores
+`dbt_project.yml` and `profiles.yml`, then reseeds a fresh duckdb and builds there. Seed edits, edits to tracked
+macros, and a stale db are discarded; workdir-only macros survive the overlay and can affect the build.
+
+## Hidden conventions (the ground truth)
+
+| id | convention | check kind |
+|----|-----------|-----------|
+| C1 | `models/staging/<source>/stg_<source>__<entity>.sql` (entity = plural table minus `raw_`) | lint |
+| C2 | PK `id` -> `<singular>_id`; model declared in `_<source>__models.yml` with `unique` + `not_null` on it | lint |
+| C3 | `*_cents` columns via `{{ cents_to_dollars() }}`, renamed without `_cents`; no `*_cents` in output (values verified) | lint |
+| C4 | every timestamp column via `{{ to_utc() }}`, output named `<stem>_at` (`refunded_ts`->`refunded_at`, `created`->`created_at`); `date` columns exempt | data |
+| C5 | sources with `_is_deleted`: `where not _is_deleted` and column not exposed (verified by row count in duckdb) | data |
+| C6 | `dbt build --select <model>` passes (model + tests) | lint |
+
+Controls (conventions must NOT be over-applied): `control-customers-vip` (add boolean `is_vip` = >=3 orders to
+`stg_shop__customers`; K1 build+tests, K2 values, K3 existing columns/rows unchanged, K4 `stg_shop__orders` untouched) and
+`control-payments-by-month` (ad-hoc `analyses/payments_by_month.sql`, totals must stay in cents; K1 exists, K2 compiles,
+K3 columns, K4 numbers match). Applying `cents_to_dollars` or `_is_deleted` filtering blindly fails them.
+
+## Splits
+
+| split | task | source | C3 money | C4 timestamps | C5 soft delete |
+|-------|------|--------|:--:|:--:|:--:|
+| train | train-refunds | shop | x | x | x |
+| train | train-payments | billing | x | x | |
+| train | train-shipments | shop | x | x | x |
+| train | train-coupons | shop | x | | x |
+| val | val-subscriptions | billing | x | x | x |
+| val | val-products | shop | x | x | x |
+| val | val-plans | billing | x | x | |
+| val | val-csat-surveys | support | | x | x |
+| heldout | heldout-invoices | billing | x | x | x |
+| heldout | heldout-support-tickets | support | | x | x |
+| heldout | heldout-disputes | billing | x | x | x |
+| heldout | heldout-ledger-entries | billing | x | x | |
+| control | control-customers-vip | shop | existing model; no convention applies | | |
+| control | control-payments-by-month | billing | analysis; keep cents, no convention applies | | |
+
+Every learning split exercises C3, C4 and C5. No non-staging "heldout" variant was added (it could not be made fair:
+the conventions are staging-specific); the two control tasks play that role.
+
+Note on `heldout-support-tickets`: the first runs showed every arm (including the gold-playbook arm) naming the model
+`stg_support__tickets` instead of the expected `stg_support__support_tickets`, which failed all of C1-C6 and scored 0.00
+everywhere. The prompt now names the entity ("...; the entity is support_tickets") to remove that ambiguity. C1 remains
+strict on the name; when the expected file is missing and exactly one new/changed `stg_support__*.sql` exists (vs the
+pristine `project/`), C2-C6 are evaluated on that model so the task still measures the conventions. Zero or several
+candidates keep the all-fail behaviour.
+
+## Fair-evaluation notes
+
+- **Inferable from existing code** (`stg_shop__customers/orders`, `_shop__models.yml`, `macros/`): C1 file naming/location,
+  the CTE pattern, C2 (`customer_id`/`order_id` PK rename, YAML location, `unique`+`not_null`), and C3 (orders uses
+  `cents_to_dollars` and drops `_cents`). Also `macros/to_utc.sql` exists, so the macro is discoverable, but no model uses it.
+- **Not inferable from the repo**: C4 (use of `to_utc`, the `_at` suffix) and C5 (soft-delete filtering; no existing source
+  has `_is_deleted`). These can only be learned from verifier feedback (or the playbook). C4/C5 feedback is deliberately
+  symptom-only (e.g. "returned 40 rows; reconciliation expects 37"); C1-C3 feedback names the rule, like a linter.
+- First attempts should therefore pass C1/C2/C3/C6 often and fail C4/C5; gains over time should show on C4/C5 in val/heldout.
+- C3/C4 text checks are regexes on comment-stripped SQL (`cents_to_dollars(col)`, `to_utc(col)`); equivalent hand-written SQL fails them.
+  C4 expects `<col minus _ts>_at`; any other `_at` spelling is reported as violating the suffix convention.
+- Timestamp columns are detected from the seed types (`timestamp`); `date` columns (`order_date`, `expires_on`) are exempt.
+- `train-coupons` has no timestamp column and `*-plans`, `ledger-entries`, `payments` have no `_is_deleted`; the checks report "not applicable" (ok).
+- Over-eager agents that blanket-apply `where not _is_deleted` to customers fail the control build; those converting to dollars in the analysis fail K4.
+- Self-test results below were produced with dbt-core 1.12 / dbt-duckdb; each verifier call takes about 6s.
+
+## Self-test results (`./run_task.sh selftest`)
+
+```
+gold:train-refunds              pass=True  score=1.0   (C1..C6 all ok; 22 rows == 25 minus 3 deleted)
+gold:heldout-invoices           pass=True  score=1.0   (37 rows == 40 minus 3 deleted)
+gold:control-customers-vip      pass=True  score=1.0   (5 VIPs)
+gold:control-payments-by-month  pass=True  score=1.0   (35 month/method rows match)
+naive:train-refunds             pass=False score=0.333 (C1, C6 ok; C2..C5 FAIL)
+naive:heldout-invoices          pass=False score=0.333
+overapplied:control-payments-by-month  pass=False score=0.75
+overapplied:control-customers-vip      pass=False score=0.25
+empty/garbage workdir, unknown task    pass=False (no crash; every check reports a message)
+./run_task.sh selftest --all-gold: all 12 staging tasks solved by a generator pass (score 1.0)
+SELFTEST OK
+```
+
+Naive solution (`select * from {{ source('shop', 'refunds') }}`, no YAML) on `train-refunds`:
+
+```
+[ok]   C1_location_naming (lint): found models/staging/shop/stg_shop__refunds.sql
+[FAIL] C2_primary_key_and_tests (lint): stg_shop__refunds: model is not declared in models/staging/shop/_shop__models.yml. Team rule: each source folder has one _shop__models.yml with its models; column `refund_id` is missing unique and not_null test(s) in models/staging/shop/_shop__models.yml; primary key `id` is not renamed to `refund_id` (Team rule: <singular_entity>_id).
+[FAIL] C3_money_cents_to_dollars (lint): stg_shop__refunds: column `amount_cents` exposed raw. Team rule: money columns must be converted with {{ cents_to_dollars() }} and renamed without the _cents suffix (amount); column(s) `amount_cents` still carry the _cents suffix. Team rule: no *_cents columns in staging output.
+[FAIL] C4_timestamps_utc_at (data): stg_shop__refunds: column `refunded_ts` is not timezone-normalized; the downstream join against the finance calendar (UTC) fails on it; timestamp column(s) `refunded_ts` pass through un-normalized and un-renamed.
+[FAIL] C5_soft_deletes (data): stg_shop__refunds: returned 25 rows; the reconciliation against the source system expects 22. 3 row(s) should not reach analytics; exposes internal column `_is_deleted`, which must not reach analytics.
+[ok]   C6_dbt_build (lint): `dbt build --select stg_shop__refunds` succeeded (model and its tests)
+```
+
+Over-applied control (`cents_to_dollars` in the analysis):
+
+```
+[FAIL] K4_numbers_match_finance_export (data): 70 month/method row(s) differ from the finance export, e.g. ('2025-01-01', 'bank_transfer'): got payments/total_cents ('1', '94') vs expected ('1', '9410')
+```