docs(evaluator): align the evaluator skill with main by SandyChapman · Pull Request #1237 · NVIDIA-NeMo/nemo-platform

SandyChapman · 2026-08-11T17:47:35Z

Summary

The evaluator skill had drifted from the code, because the NVSkills CI gate blocked any PR touching top-level skills/ — so several evaluator changes landed with docs/ updated and the skill left behind. That gate was removed in #1302, so this catches the skill up to main and adds test coverage so the same examples cannot silently rot again.

This PR was previously an 8-commit stack carrying skill updates for #1071 and #1173. It has been rebuilt as a single commit on current main: #1071's backend content merged separately (squash 6d9163f024), and #1173 closed unmerged, so the skill changes written for it have been dropped.

Changes

Area	Change
Stored tasks (#1071, #566)	`resources.md` and `plugin_sdk_examples.py` move to `spec=EvaluatorTaskDefinition(kind="evaluator", ...)`, and teach held-out `reference` on a stored task
Stale `reference` steer	Three places said stored tasks cannot carry grader-only `reference`. `EvaluatorTaskDefinition.reference` exists, so that steer cost readers tasksets and revision pinning for nothing
Local execution (#1262)	The skill lumped `client.evaluator.run()` in with the `nemo evaluator ... run` CLI verb as "being retired". Only the CLI verb still exists, so `SKILL.md` now warns about that alone; the removal is recorded in `troubleshooting.md`, which is symptom-indexed
Taskset submission (#1367)	`submit(tasks=..., target=<runner>)` added to the interface table and agent-evaluation reference, with the four row-only options the taskset path refuses and the Gym-only translation limit
Missing target (#1367)	`GymRunnerTarget` was absent from both platform-target lists (`SKILL.md` and the agent-evaluation reference). Both now match `agent_spec.AgentRunnerTarget` exactly
Agent job handle (#1367)	`AgentEvaluatorJobResource` has no `get_result()`/`download_artifacts()`, while every other job example ends in `get_result()`. That trap gets a troubleshooting row
`evals.json`	Graded the agent on `nemo evaluator evaluate run --spec` — the path `SKILL.md` says not to build on. Both verbs take identical spec flags, so it rewarded the discouraged one for no benefit

Deliberately excluded: the #1173 skill updates

#1173 closed without merging, so Evaluator.run_dataset_sync and client.evaluator.evaluate_dataset do not exist. The public surface on main is still run_sync and submit(metric=..., config=...).

Worth knowing for anyone re-reviewing: evaluate_dataset does exist on main, as the backend contract method the Evaluator facade calls internally. Grepping for the name makes that rename look landed when it is not.

Type of Change

Code change (feature, bug fix, or refactor)
Code change with documentation updates
Documentation only
Contributor tooling or automation
CI, build, or test infrastructure

Quality Gates

Tests added or updated for changed behavior
Existing tests cover changed behavior — justification:
Tests not applicable — justification:
Documentation updated for user-visible behavior
Documentation not applicable — justification:

Four tests added, each mutation-verified (the fix was reverted to confirm the test fails, and that only that test fails):

Guard	Mutant caught
`store_resources` execution coverage	flat pre-#1071 `TaskInput` shape; renamed `task=` kwarg
`evals.json` does not reward `run`	reverting to `evaluate run`
taskset submit path + job handle	dropping the `tasks=` example
stored-task `reference` support	restoring the stale "no reference" steer

The largest gap closed: store_resources — the skill's canonical stored-task example — was only ever asserted as text, so no schema change to TaskInput could fail it. It now executes against the real resource signatures and re-validates through the wire form create actually posts.

Verification

Pull request title follows the repository's Conventional Commit format
Every commit includes an appropriate Signed-off-by: trailer
uv run pre-commit run -a passes, or any blocked checks are identified below
Targeted tests pass, or tests are marked not applicable above
No secrets, API keys, or credentials are included

Targeted validation:

uv run --frozen pytest plugins/nemo-evaluator/tests --ignore=.../integration — 860 passed
uv run --frozen pytest plugins/nemo-evaluator/tests/test_skill_examples.py — 34 passed
uv run --frozen ruff check / ruff format --check — pass
tools/lint/lint-python-types.sh — 0 errors (11 pre-existing warnings, none in skills/)
uv run pre-commit run -a — ruff, ruff format, ty, copyright headers, uv.lock drift, merge conflicts all pass. Three hooks fail on missing local tooling, none reachable from this change (markdown, one test file, one JSON file): helm-docs binary not installed; uv-lock wants uv 0.9.14 and this host has 0.9.30; studio-lint-staged has no pnpm mise shim. No hook modified a file.

Beyond the test suite, every API claim in the skill was checked by executing it against main rather than reading the source — all imports, call sites, kwargs, model constructions, JSON specs, and CLI paths. That caught two errors in the first draft of this PR's own additions: an example missing the required resources_server, and a claim that env_vars can hold a callable (it is dict[str, str], so pydantic refuses one at construction; only hydra_params is dict[str, Any]).

Follow-up, not fixed here: the _gym_target docstring in #1367 names both hydra_params and env_vars as able to hold a callable. Only the former can. The guard itself is correct — just the explanation names a field that cannot reach it.

🤖 Generated with Claude Code

Summary by CodeRabbit

New Features
- Added support for submitting stored tasksets and existing agent runners through the evaluator SDK.
- Added Fabric, Harbor, and Gym runner evaluation targets.
- Added grader-only reference data support for stored tasks.
Documentation
- Updated guidance for platform submission workflows, task and metric references, repository execution, and troubleshooting.
- Documented taskset submission, result retrieval, supported inputs, and runner limitations.
Bug Fixes
- Aligned examples and validation with current SDK signatures and schemas.
- Clarified that the local run workflow is retired.

Moving a stored task's content under a discriminated `spec` invalidates the skill example's `TaskInput(intent=..., inputs=..., metrics=...)`, and ty checks `skills/**/*.py`, so the example fails the type gate. The fix for the example is written and sits in #1237. It cannot ride along here: editing any file under `skills/` puts the PR behind the NVSkills gate, and that gate currently cannot pass — tier 3 runs with `--env-mode local`, whose bubblewrap sandbox fails its smoke test on the nvcarps runners, so nothing is evaluated and it blocks on empty coverage. Keeping the example correct and keeping this PR out of the gate are mutually exclusive until that is fixed. Chosen as an override rather than a `[tool.ty.src].exclude` entry, which that list's own header asks contributors not to grow: an override keeps every other rule live on the file and names the two the stale call actually produces, so it cannot quietly widen into cover for unrelated drift. #1237 removes it in the same commit that corrects the example. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Signed-off-by: Sandy Chapman <schapman@nvidia.com>

Retiring `run_sync`/`submit` in favour of `run_dataset_sync`/`evaluate_dataset` meant updating the evaluator skill to match, which put six `skills/` files in the diff and so put this PR behind the NVSkills gate. That gate cannot currently pass: tier 3 is invoked with `--env-mode local`, whose bubblewrap sandbox fails its smoke test on the nvcarps runners, so nothing is evaluated and it blocks on empty coverage. It is an infrastructure problem, already reported, and nothing in this repo can resolve it. With no `skills/` file touched, the gate no longer applies and the backend contract change can land on its own merits. The skill updates move to #1237, which can sit behind the gate for as long as it takes. Unlike the equivalent split on #1071, this one has a cost worth naming. The skill's `evaluate_standalone` example is *executed* by `test_skill_standalone_example_scores_pass_and_failure`, and the reverted example calls the retired `Evaluator.run_sync`, so the test now fails for a real reason: the shipped example is genuinely broken against this refactor. It is skipped rather than deleted, with the reason and the restoring PR named in the marker, so the gap is visible and expires. The other 29 tests in that file still run. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Signed-off-by: Sandy Chapman <schapman@nvidia.com>

…IA-NeMo#1071) * feat(evaluator): make a stored task runner-polymorphic via kind A task is an evaluation unit; how it runs is a property of the task, not a different kind of record. The target side already models this — `AgentRunnerTarget` is a `kind`-discriminated union of codex/fabric/harbor — so the stored side now matches, and a user manages every evaluation unit in one place regardless of which runner executes it. Task content moves under a discriminated `spec`: - `EvaluatorTaskDefinition` (kind="evaluator") — intent, inputs, reference, metrics, views - `HarborTaskDefinition` (kind="harbor") — a reference to the task's packaged directory in the Files service, plus Harbor's own config Nested rather than flattened with nullable per-kind fields, so each variant's required fields stay required and the revision digest covers the spec as a unit; two kinds with coincidentally similar metadata cannot collide on content. `kind` is a `Literal`, matching how the runner targets discriminate. The two definitions live in their own modules under `api/task_definitions/`; the shared field types they need moved to `api/fields.py`, since the definitions are imported *by* `schemas` and cannot import back from it. A single model per kind, rather than a stored/input pair: only `metrics` widens on the way in, and the service narrows it to references when storing. That keeps the API surface small at the cost of making the narrowing a service invariant rather than a type-level one. `EvaluatorTaskDefinition` gains the grader-only `reference` — held-out ground truth, surfaced to metrics but never seeded into the agent's workspace. It has existed on the inline `AgentEvalTaskInput` since NVIDIA-NeMo#566, where persisting it was deferred because the stored schemas then lived in the root OpenAPI/SDK; they are plugin-owned now, so that reason has lapsed. Until this, a taskset-driven run expanded to an empty reference, so any task needing ground truth the agent cannot edit had to give up stored tasks and tasksets entirely. It is covered by the revision digest. The rule: the digest covers anything that affects a task's execution output or how it is graded, and `reference` decides what a metric grades against — two revisions that score differently must not share a digest, or publish-time dedup would collapse them and a pin would stop fixing the grading. Held out from the *agent*, not from the API: anyone who can read the task can read it. Harbor's `config` is the one exclusion, and it does not contradict that rule. It is a projection of `task.toml`; Harbor reads the real file out of the materialized archive at run time, and `archive_digest` is authoritative over every file in that directory. A config change that genuinely alters execution or grading therefore already moves the digest, while hashing the projection would make revision history sensitive to Harbor's serialization. That makes `archive_digest` load-bearing: a Harbor field ever read from the stored record rather than from the archive would have to be digested. Harbor specifics: - One fileset per task, so a task shared by several tasksets is stored once. - `archive_ref` is shape-validated, so a malformed reference is rejected at publish rather than surfacing as a download failure mid-run. - `config` is stored but excluded from the revision digest, as above. - Which agent runs a task is not stored: that comes from the run's target, so the same stored task can be evaluated against different agents. Taskset expansion rejects a `harbor` member rather than projecting it onto an agent-eval DTO: that content is a directory of files, not fields, so a pure projection would silently produce a task with no intent and no metrics — an evaluation that runs and scores nothing. Mixed tasksets stay storable; the mismatch surfaces at submit as a 422. The rejection is unconditional, not target-dependent. Storage landed ahead of the execution bridge, so no target can run a stored `harbor` task yet and the message says so plainly instead of suggesting the reader find a compatible one. Bridging the two — and encoding runner/task-kind compatibility declaratively rather than as an isinstance check here — is AALGO-481. Note for anyone with existing task rows: this is a breaking schema change with no migration. Rows stored in the previous flat shape fail validation on read, which surfaces as a 500 when listing tasks. Clear them before upgrading. Signed-off-by: Sandy Chapman <schapman@nvidia.com> * fix(evaluator): require the kind discriminator on a task definition `TaskDefinition` is discriminated on `kind`, but both variants defaulted it, so the generated schema left `kind` out of `required` while the validator demanded it. A raw create or replace body without `kind` fails with `union_tag_not_found` — meaning a client generated from that spec would omit the field and 422 on every write. Make `kind` a required field on both definitions, matching how the metric payload DTOs in the same package already declare their discriminator, and regenerate the plugin spec. Tests cover both halves of the mismatch: raw POST and PUT bodies without `kind` are rejected, and the published schema keeps `kind` in `required`. Signed-off-by: Sandy Chapman <schapman@nvidia.com> * refactor(evaluator): adopt the platform's entity-ref parser and fix the task docs Review follow-ups on NVIDIA-NeMo#1071. Reference parsing was duplicated. `nmp.common.entities.utils` already re-exports `nemo_platform_plugin.refs.parse_entity_ref`, which ~10 services and three other plugins use; the evaluator was the last place carrying its own copy under the same name. Delete it and delegate: `parse_subentity_ref` now adds only the `#fragment` that a revisioned entity needs on top of the shared split, and `ENTITY_REF_PATTERN` / `FILESET_REF_PATTERN` move next to the parser and the `FilesetRef` type they describe. `_SUBENTITY_REF_PATTERN` is spliced from the shared constant, so widening what counts as a `workspace/name` widens both shapes at once instead of leaving one behind. One behavior detail this makes explicit: taskset duplicate-detection relied on the old parser silently stripping `#fragment`, so `task-a` and `task-a#<digest>` deduped as one member. The platform parser does not strip, so that path now discards the fragment deliberately. Restore the `CloudpickleMetricPayload` / `InlineMetricPayload` / `MetricPayload` re-exports from `api.schemas`, which `fields.py` promises in its module docstring and lost when they moved. The `manage-tasks-tasksets` revision snippets still passed the pre-`spec` flat shape. `make docs-check-python-snippets` did not catch it because the snippet linter passes ty a rule name that was renamed upstream, so ty answered with `warning[unknown-rule]` and the check failed for every doc regardless of its content. Fix the rule name, fix the snippets, and name both task kinds before the sentence that refers to "both kinds". Type-checking a snippet would not have caught one that type-checks and then fails at run time, nor a documented output gone stale — which is the shape of what review found here. So add an integration test that walks the doc top to bottom against a real platform and asserts the results it claims. No OpenAPI change: the spec regenerates byte-identical. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Signed-off-by: Sandy Chapman <schapman@nvidia.com> * chore(evaluator): move the skill updates out of this PR The evaluator skill's `resources.md` and `plugin_sdk_examples.py` were updated here for the new `spec` shape, which put a `skills/` file in the diff and so put the PR behind the NVSkills gate. That gate cannot currently pass: tier 3 is invoked with `--env-mode local`, whose bubblewrap sandbox fails its smoke test on the runners, so no evaluation runs and the gate blocks on empty coverage. It is an infrastructure problem with the nvcarps pipeline, already reported, and nothing in this repo can resolve it. With no `skills/` file touched, the gate no longer applies to this PR and the storage change can land on its own merits. The skill updates are not lost — they move to a stacked follow-up PR, which can sit behind the gate for as long as it takes without holding this one. Reverting them costs nothing in tests: no test invokes `store_resources`, and the one assertion in `test_skill_examples.py` that pinned the new wording is reverted alongside the content it describes. Known cost while the two are apart: the skill documents the pre-`spec` task shape, which no longer validates. Anyone following the skill in that window writes a task the API rejects. That is the price of unblocking, and it ends when the follow-up lands. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Signed-off-by: Sandy Chapman <schapman@nvidia.com> * chore(lint): scope a ty override to the stale evaluator skill example Moving a stored task's content under a discriminated `spec` invalidates the skill example's `TaskInput(intent=..., inputs=..., metrics=...)`, and ty checks `skills/**/*.py`, so the example fails the type gate. The fix for the example is written and sits in NVIDIA-NeMo#1237. It cannot ride along here: editing any file under `skills/` puts the PR behind the NVSkills gate, and that gate currently cannot pass — tier 3 runs with `--env-mode local`, whose bubblewrap sandbox fails its smoke test on the nvcarps runners, so nothing is evaluated and it blocks on empty coverage. Keeping the example correct and keeping this PR out of the gate are mutually exclusive until that is fixed. Chosen as an override rather than a `[tool.ty.src].exclude` entry, which that list's own header asks contributors not to grow: an override keeps every other rule live on the file and names the two the stale call actually produces, so it cannot quietly widen into cover for unrelated drift. NVIDIA-NeMo#1237 removes it in the same commit that corrects the example. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Signed-off-by: Sandy Chapman <schapman@nvidia.com> --------- Signed-off-by: Sandy Chapman <schapman@nvidia.com> Co-authored-by: Claude Opus 5 <noreply@anthropic.com>

Retiring `run_sync`/`submit` in favour of `run_dataset_sync`/`evaluate_dataset` meant updating the evaluator skill to match, which put six `skills/` files in the diff and so put this PR behind the NVSkills gate. That gate cannot currently pass: tier 3 is invoked with `--env-mode local`, whose bubblewrap sandbox fails its smoke test on the nvcarps runners, so nothing is evaluated and it blocks on empty coverage. It is an infrastructure problem, already reported, and nothing in this repo can resolve it. With no `skills/` file touched, the gate no longer applies and the backend contract change can land on its own merits. The skill updates move to #1237, which can sit behind the gate for as long as it takes. Unlike the equivalent split on #1071, this one has a cost worth naming. The skill's `evaluate_standalone` example is *executed* by `test_skill_standalone_example_scores_pass_and_failure`, and the reverted example calls the retired `Evaluator.run_sync`, so the test now fails for a real reason: the shipped example is genuinely broken against this refactor. It is skipped rather than deleted, with the reason and the restoring PR named in the marker, so the gap is visible and expires. The other 29 tests in that file still run. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Signed-off-by: Sandy Chapman <schapman@nvidia.com>

github-actions · 2026-08-20T12:22:04Z

Suite	Lines Covered	Line Rate	Branch Rate
Unit Tests	34115/43082	79.2%	64.1%
Integration Tests	20230/40881	49.5%	22.1%

coderabbitai · 2026-08-20T12:32:57Z

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📝 Walkthrough

Walkthrough

The evaluator skill now uses submit workflows, current task schemas, supported runner targets, grader-only references, and updated SDK and documentation validation tests.

Changes

Evaluator submission and resource guidance

Layer / File(s)	Summary
Resource schema and reference examples `skills/nemo-evaluator-plugin/assets/examples/plugin_sdk_examples.py`, `skills/nemo-evaluator-plugin/references/resources.md`, `skills/nemo-evaluator-plugin/references/agent-evaluation.md`	Examples use `EvaluatorTaskDefinition`, unqualified references, and grader-only task references.
Submit workflow and runner guidance `skills/nemo-evaluator-plugin/SKILL.md`, `skills/nemo-evaluator-plugin/evals/evals.json`, `skills/nemo-evaluator-plugin/references/agent-evaluation.md`, `skills/nemo-evaluator-plugin/references/troubleshooting.md`	Guidance replaces retired local execution with `submit`, documents taskset job handling, and adds supported runner targets.
SDK and documentation contract tests `plugins/nemo-evaluator/tests/test_skill_examples.py`	Tests validate SDK signatures, serialized resources, submit guidance, job handles, and stored-task reference documentation.

Suggested reviewers: arpitsardhana, jashg

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In `@skills/nemo-evaluator-plugin/evals/evals.json`:
- Around line 7-10: Update skills/nemo-evaluator-plugin/evals/evals.json lines
7-10 to replace manual virtual-environment activation expectations with
repository-checkout uv run guidance. Update
plugins/nemo-evaluator/tests/test_skill_examples.py lines 531-547 so the
assertions reject graded expectations requiring manual .venv activation and
validate the repository’s uv run usage. Use the existing evaluation contract and
test symbols without changing unrelated CLI or metric requirements.

In `@skills/nemo-evaluator-plugin/references/agent-evaluation.md`:
- Around line 46-74: Update the AgentEvaluator documentation to state before the
submission example that direct runner submission is supported only for
GymAgentTaskRunner; other runner types must use manual job construction or the
CLI. Present the Python SDK and CLI alternatives together in a tab set, while
preserving the existing taskset-versus-row submission behavior and validation
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In `@skills/nemo-evaluator-plugin/references/agent-evaluation.md`:
- Around line 71-74: Update the guidance around runner translation to direct
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skills/nemo-evaluator-plugin/references/troubleshooting.md

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The skill drifted from the code because the NVSkills CI gate blocked any PR touching top-level `skills/`, so several evaluator changes landed with their docs updated and the skill left behind. That gate is gone as of #1302, so this catches the skill up. Stored tasks (#1071, #566). `TaskInput` now carries a runner-discriminated `spec`, and `EvaluatorTaskDefinition` has the grader-only `reference` field. The skill still showed the flat pre-#1071 shape and told readers that held-out ground truth required an inline `AgentEvalTaskInput` -- which would cost them tasksets and revision pinning for a limitation that no longer exists. Three places said it; all three are corrected. Local execution (#1262). The skill lumped `client.evaluator.run()` together with the `nemo evaluator ... run` CLI verb as "being retired", but only the CLI verb still exists -- the method was removed a week ago. SKILL.md now warns about the CLI verb alone: naming a method that cannot be called, four lines from the seven live `.run()` calls the skill teaches (`AgentEvaluator().run`, `Evaluator().run_sync`), invited the wrong generalization. The removal is recorded in `troubleshooting.md` instead, which is symptom-indexed and so only reached by someone who already called it from memory. `GymRunnerTarget` was also missing from SKILL.md's platform-target list, alongside the same omission in the agent-evaluation reference. Taskset submission (#1367). `submit` grew a second shape -- `tasks` + `target` against a live runner -- which was previously CLI-only and went out with no skill or docs coverage. Added to the interface table and the agent-evaluation reference, along with `GymRunnerTarget` in the target table, the four row-only options the taskset path refuses, and the Gym-only translation limit. The returned `AgentEvaluatorJobResource` deliberately has no `get_result()` or `download_artifacts()`, while every other job example in the skill ends in `get_result()`. That trap gets its own troubleshooting row. `evals.json` graded the agent on producing `nemo evaluator evaluate run --spec`, the very path SKILL.md says not to build on. Both verbs take identical spec flags, so the eval was rewarding the discouraged one for no benefit. Deliberately NOT included: the skill updates written for #1173. That PR closed unmerged, so `Evaluator.run_dataset_sync` and `client.evaluator.evaluate_dataset` do not exist. `evaluate_dataset` on main is the *backend* contract method, which makes the rename look landed when it is not. The public surface is still `run_sync` and `submit(metric=..., config=...)`. Every claim was verified by executing it against main rather than reading the source, which caught two errors in my own first draft: an example missing the required `resources_server`, and a claim that `env_vars` can hold a callable. It cannot -- it is `dict[str, str]`, so pydantic refuses one at construction and it never reaches the serializability guard. Only `hydra_params` is `dict[str, Any]`. (The `_gym_target` docstring names both and is likewise overstated, but that is merged code and out of scope here.) Four tests added, each mutation-verified. The largest gap they close is that `store_resources` -- the skill's canonical stored-task example -- was only ever asserted as text, so no schema change to `TaskInput` could fail it. It now runs against the real resource signatures and re-validates through the wire form `create` actually posts. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Signed-off-by: Sandy Chapman <schapman@nvidia.com>

github-actions Bot added the docs label Aug 11, 2026

SandyChapman force-pushed the evaluator-skill-spec-shape/schapman branch from 142e783 to b12a97a Compare August 11, 2026 19:13

SandyChapman changed the title ~~docs(evaluator): update the evaluator skill for the task spec shape~~ docs(evaluator): update the evaluator skill for #1071 and #1173 Aug 11, 2026

Base automatically changed from harbor-task-kind/schapman to main August 11, 2026 20:01

SandyChapman mentioned this pull request Aug 18, 2026

ci: remove the NVSkills gate, which can no longer pass #1363

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SandyChapman force-pushed the evaluator-skill-spec-shape/schapman branch from 8015b9c to 95c9a09 Compare August 20, 2026 12:05

SandyChapman changed the title ~~docs(evaluator): update the evaluator skill for #1071 and #1173~~ docs(evaluator): align the evaluator skill with main Aug 20, 2026

SandyChapman force-pushed the evaluator-skill-spec-shape/schapman branch from 95c9a09 to 79cb3b0 Compare August 20, 2026 12:21

SandyChapman marked this pull request as ready for review August 20, 2026 12:25

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SandyChapman requested review from JashG, arpitsardhana and ngoncharenko August 20, 2026 15:46

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SandyChapman force-pushed the evaluator-skill-spec-shape/schapman branch from 62a4acd to 8c3874b Compare August 20, 2026 16:27

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SandyChapman added this pull request to the merge queue Aug 21, 2026

SandyChapman removed this pull request from the merge queue due to a manual request Aug 21, 2026

SandyChapman force-pushed the evaluator-skill-spec-shape/schapman branch from 8c3874b to 1daa617 Compare August 21, 2026 11:30

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SandyChapman force-pushed the evaluator-skill-spec-shape/schapman branch from 1daa617 to 90e7c08 Compare August 21, 2026 12:51

SandyChapman added this pull request to the merge queue Aug 21, 2026

Merged via the queue into main with commit d680926 Aug 21, 2026
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SandyChapman deleted the evaluator-skill-spec-shape/schapman branch August 21, 2026 13:29

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docs(evaluator): align the evaluator skill with main - #1237

docs(evaluator): align the evaluator skill with main#1237
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Deliberately excluded: the #1173 skill updates

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