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9391fb9317 fix(onboard): stop dropping onboard-check remediations on the --apply --auto path
Takeover of #2161. runRemediation ignored onboard-check extras in three
places: the pre-flight plan, the initial recommendation build, and the D7
mid-run recheck that rebuilds recs after every completed step. The --check
path threaded extras correctly, so `gbrain onboard --apply --auto` reported
"Nothing to do" when the only remediable work came from onboard checks —
and even with the first two sites fixed (the original PR diff), any plan
with 2+ steps dropped all remaining extras after step 1 via the recheck.

- Add RemediationOpts.extraRemediations; thread it through the pre-flight
  plan, initial recs, and the mid-run recheck.
- Recheck filters extras to ids not already processed this run: extras
  carry static status:'remediable', so unfiltered threading would resubmit
  completed extras forever.
- Wire the CLI --auto path (onboard.ts) AND the MCP run_onboard auto path
  (operations.ts), which already computed the scope-filtered allowedExtras
  and then dropped it.
- Regression test: extras-only plan on an empty brain runs BOTH extras
  exactly once and terminates (serial file: mock.module queue stub +
  GBRAIN_HOME tmpdir).

Co-authored-by: brettdavies <brettdavies@users.noreply.github.com>
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-21 14:25:52 -07:00
10 changed files with 154 additions and 53 deletions
@@ -233,14 +233,13 @@ keep it or `git checkout` to throw it away. Nothing is committed for you.
**For a skill that ships with gbrain** (anything under the gbrain repo's own
`skills/`): SkillOpt refuses to overwrite it by default and writes the winner to
`skills/<name>/skillopt/proposed.md` instead (while keeping `best.md` as the
optimizer's current-best pointer), so an optimization pass can never silently
mutate a skill other people depend on. Two ways to handle that:
`skills/<name>/skillopt/best.md` instead, so an optimization pass can never
silently mutate a skill other people depend on. Two ways to handle that:
```bash
# See the proposed improvement without touching SKILL.md (works for ANY skill):
gbrain skillopt meeting-prep --split 1:1:1 --no-mutate
# → writes skills/meeting-prep/skillopt/proposed.md, updates best.md, and prints the proposal path.
# → writes skills/meeting-prep/skillopt/best.md (the proposed rewrite), prints its path. Copy what you want.
# Actually rewrite a bundled skill (explicit opt-in + an independent held-out set):
gbrain skillopt brain-ops --split 1:1:1 --allow-mutate-bundled \
+5 -1
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@@ -142,12 +142,16 @@ export async function runOnboard(engine: BrainEngine, args: string[]): Promise<v
// --auto path: runs through the T2 library orchestrator. Hooks emit CLI
// progress to stderr; the final result lands as JSON on stdout (or human
// summary).
// summary). extraRemediations (gathered above from runAllOnboardChecks)
// is threaded into the runner so the onboard-check remediations
// (extract-ner, extract-timeline-from-meetings, etc.) reach the planner
// — the same wiring the --check path uses above.
const result = await runRemediation(
engine,
{
targetScore,
maxUsd,
extraRemediations,
// --auto --yes opts into the prompt_required tier too; library
// doesn't distinguish auto_apply vs prompt_required, it just runs
// every remediation in the plan. The plan-building side (T12 render)
+1 -1
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@@ -4957,7 +4957,7 @@ const run_onboard: Operation = {
// typo, the underlying queue.add would reject. Defense-in-depth.
const result = await runRemediation(
ctx.engine,
{ targetScore, maxUsd },
{ targetScore, maxUsd, extraRemediations: allowedExtras },
{},
);
+10 -3
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@@ -66,9 +66,10 @@ export async function runRemediation(
} = await import('../remediation-checkpoint.ts');
const ctx = await loadRecommendationContext(engine);
const extraRemediations = opts.extraRemediations ?? [];
// Pre-flight ceiling check via the shared plan computation.
const initialPlan = await computeRemediationPlan(engine, { targetScore });
const initialPlan = await computeRemediationPlan(engine, { targetScore, extraRemediations });
if (initialPlan.target_unreachable) {
hooks.onTargetUnreachable?.(targetScore, initialPlan.max_reachable_score);
return {
@@ -87,7 +88,7 @@ export async function runRemediation(
}
const initialHealth = await engine.getHealth();
let recs: RemediationStep[] = computeRecommendations(initialHealth, ctx)
let recs: RemediationStep[] = computeRecommendations(initialHealth, ctx, extraRemediations)
.filter((r) => r.status === 'remediable');
if (recs.length === 0) {
hooks.onNothingToDo?.(initialHealth.brain_score, targetScore);
@@ -305,7 +306,13 @@ export async function runRemediation(
// steps with bumped retry suffix (D1).
if (recs.length === 0 || stepCount >= maxJobs) break;
const freshHealth = await engine.getHealth();
recs = computeRecommendations(freshHealth, ctx).filter((r) => r.status === 'remediable');
// Extras carry a static status:'remediable' — a fresh health snapshot
// never ages them out the way health-derived steps drop. Filter out
// ids this run already processed (any terminal status), or the recheck
// would resubmit completed extras every iteration, forever.
const processedIds = new Set(submitted.map((s) => s.id));
const pendingExtras = extraRemediations.filter((r) => !processedIds.has(r.id));
recs = computeRecommendations(freshHealth, ctx, pendingExtras).filter((r) => r.status === 'remediable');
}
};
+10
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@@ -63,6 +63,16 @@ export interface RemediationOpts {
resumePlanHash?: string;
/** Whether to attempt resume at all (default false). */
resume?: boolean;
/**
* Caller-supplied RemediationStep entries threaded into the planner.
* Mirrors RemediationPlanOpts.extraRemediations so onboard's --apply
* --auto path (and MCP run_onboard auto modes) forward the same
* onboard-check remediations the --check path already passes through
* computeRemediationPlan. Without this the runner saw only generic
* brain_score remediations and reported "Nothing to do" whenever the
* only applicable work was an extra (e.g. extract-ner).
*/
extraRemediations?: RemediationStep[];
}
/**
+4 -10
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@@ -93,13 +93,7 @@ import { resolveLrSchedule } from './lr-schedule.ts';
import { preflight, formatPreflightReport } from './preflight.ts';
import { isRejected, loadRejectedBuffer, makeRejectedEntry, saveRejectedBuffer } from './rejected-buffer.ts';
import { runReflect, runOneShotRewrite, describeJudges } from './reflect.ts';
import {
acceptCandidate,
proposedPath as proposedFilePath,
revertAllPending,
skillPath,
writeProposed,
} from './version-store.ts';
import { acceptCandidate, bestPath, revertAllPending, skillPath, writeProposed } from './version-store.ts';
import { runValidationGate, scoreSkillOnTasks } from './validate-gate.ts';
import { ROLLOUT_SUCCESS_THRESHOLD } from './types.ts';
import type { SkillOptOpts, EditOp, RunReceipt, BenchmarkTask } from './types.ts';
@@ -708,9 +702,9 @@ async function runOptimizationLoop(
// to the catch's assignment values only (it can't prove the async callback ran).
const finalOutcome = outcome as 'accepted' | 'no_improvement' | 'aborted' | 'errored';
if (!mutateDecision.mutate && finalOutcome === 'accepted') {
// writeProposed() emitted both the best pointer and the stable review
// artifact in the accept branch. SKILL.md remains untouched.
proposedPath = proposedFilePath(skillsDir, skillName);
// best.md was written by writeProposed() in the accept branch (no-mutate
// path); it doubles as proposed.md for human review. SKILL.md untouched.
proposedPath = bestPath(skillsDir, skillName);
} else if (mutateDecision.mutate) {
mutatedSkillFile = finalOutcome === 'accepted';
}
+9 -15
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@@ -23,7 +23,6 @@
*
* history.json
* best.md
* proposed.md
* versions/
* v0001_e1_s1.md
* v0002_e1_s2.md
@@ -53,10 +52,6 @@ export function bestPath(skillsDir: string, skillName: string): string {
return path.join(skilloptDir(skillsDir, skillName), 'best.md');
}
export function proposedPath(skillsDir: string, skillName: string): string {
return path.join(skilloptDir(skillsDir, skillName), 'proposed.md');
}
export function skillPath(skillsDir: string, skillName: string): string {
return path.join(skillsDir, skillName, 'SKILL.md');
}
@@ -176,18 +171,17 @@ export function acceptCandidate(input: AcceptInput): AcceptResult {
}
/**
* Write the candidate to both `best.md` and `proposed.md` WITHOUT touching
* SKILL.md or the history ledger. `best.md` remains the optimizer's current
* best pointer; `proposed.md` is the stable human-review artifact promised by
* `--no-mutate`. Returns the proposal path. Each write is atomic (.tmp + rename).
* Write the candidate to `best.md` (which doubles as `proposed.md`) WITHOUT
* touching SKILL.md or the history ledger. Used by the `--no-mutate` /
* bundled-without-allow paths: the optimizer found a better candidate but the
* caller opted out of in-place mutation, so we surface it for human review.
* Returns the path written. Atomic (.tmp + rename).
*/
export function writeProposed(skillsDir: string, skillName: string, candidateText: string): string {
const best = bestPath(skillsDir, skillName);
const proposed = proposedPath(skillsDir, skillName);
fs.mkdirSync(path.dirname(best), { recursive: true });
atomicWrite(best, candidateText);
atomicWrite(proposed, candidateText);
return proposed;
const p = bestPath(skillsDir, skillName);
fs.mkdirSync(path.dirname(p), { recursive: true });
atomicWrite(p, candidateText);
return p;
}
/**
+4 -4
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@@ -39,7 +39,6 @@ import { runSkillOpt } from '../../src/core/skillopt/orchestrator.ts';
import {
bestPath,
loadHistory,
proposedPath,
skillPath,
} from '../../src/core/skillopt/version-store.ts';
import { loadRejectedBuffer } from '../../src/core/skillopt/rejected-buffer.ts';
@@ -742,7 +741,7 @@ describe('skillopt T3 — F11 held-out gate, ablation opts, no-DB-pollution', ()
} finally { fixture.cleanup(); }
});
test('--no-mutate writes proposed.md and best.md, leaves SKILL.md untouched', async () => {
test('--no-mutate writes proposed.md (best.md), leaves SKILL.md untouched', async () => {
const fixture = setupFixture(SKILL_PEOPLE_ONLY, CITATIONS_BENCHMARK);
try {
installStub({
@@ -754,9 +753,10 @@ describe('skillopt T3 — F11 held-out gate, ablation opts, no-DB-pollution', ()
const result = await runOnce(fixture, { noMutate: true });
expect(result.outcome).toBe('accepted');
expect(result.mutatedSkillFile).toBe(false);
expect(result.proposedPath).toBe(proposedPath(fixture.skillsDir, SKILL));
expect(result.proposedPath).toBeDefined();
// proposed.md (best.md) exists and carries the improvement.
expect(fs.existsSync(result.proposedPath!)).toBe(true);
expect(fs.readFileSync(result.proposedPath!, 'utf8')).toContain('## Citations');
expect(fs.readFileSync(bestPath(fixture.skillsDir, SKILL), 'utf8')).toContain('## Citations');
// SKILL.md on disk is UNCHANGED (still People-only).
const skill = fs.readFileSync(skillPath(fixture.skillsDir, SKILL), 'utf8');
expect(skill).not.toContain('## Citations');
+108
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@@ -0,0 +1,108 @@
// test/remediation-run-extras.serial.test.ts
// Regression for PR #2161 takeover: `gbrain onboard --apply --auto` dropped
// onboard-check extraRemediations. Two distinct halves of the bug:
// 1. runRemediation built the pre-flight plan + initial recs WITHOUT the
// extras, so an extras-only plan reported "Nothing to do".
// 2. The D7 mid-run recheck rebuilt recs WITHOUT the extras after every
// completed step, so with 2+ plannable steps all remaining extras were
// dropped after step 1. The recheck must also filter out extras this
// run already processed — extras carry static status:'remediable', so
// unfiltered threading would resubmit completed extras forever.
//
// SERIAL: mock.module (queue + wait-for-completion stubs, R2) + GBRAIN_HOME
// env mutation so checkpoint files land in a tmpdir, not ~/.gbrain.
import { describe, expect, test, beforeAll, afterAll, mock } from 'bun:test';
import { mkdtempSync, rmSync } from 'node:fs';
import { tmpdir } from 'node:os';
import { join } from 'node:path';
import { PGLiteEngine } from '../src/core/pglite-engine.ts';
import { makeRemediationStep } from '../src/core/remediation-step.ts';
// Stub the Minion queue: every submitted job is immediately 'completed'.
// runRemediation only calls queue.add + waitForCompletion(queue, id).
let nextJobId = 1;
const submittedJobs: Array<{ name: string }> = [];
mock.module('../src/core/minions/queue.ts', () => ({
MinionQueue: class {
async add(name: string) {
submittedJobs.push({ name });
return { id: nextJobId++, status: 'completed' };
}
},
}));
mock.module('../src/core/minions/wait-for-completion.ts', () => ({
waitForCompletion: async () => ({ status: 'completed' }),
}));
let engine: PGLiteEngine;
let home: string;
const prevHome = process.env.GBRAIN_HOME;
beforeAll(async () => {
home = mkdtempSync(join(tmpdir(), 'gbrain-remextras-'));
process.env.GBRAIN_HOME = home;
engine = new PGLiteEngine();
await engine.connect({});
await engine.initSchema();
}, 120_000);
afterAll(async () => {
await engine.disconnect();
if (prevHome === undefined) delete process.env.GBRAIN_HOME;
else process.env.GBRAIN_HOME = prevHome;
rmSync(home, { recursive: true, force: true });
});
function extra(id: string, job: string) {
return makeRemediationStep({
id,
job,
params: {},
severity: 'medium',
est_seconds: 5,
est_usd_cost: 0,
rationale: 'synthetic onboard-check extra',
status: 'remediable',
});
}
describe('runRemediation extraRemediations threading', () => {
test('extras-only plan runs BOTH extras and terminates (no Nothing-to-do, no resubmit loop)', async () => {
// Empty PGLite brain → zero health-derived recommendations. Without the
// fix, half 1 makes this run return submitted: [] via onNothingToDo.
// With only half 1 (the original PR #2161 diff), the mid-run recheck
// drops the second extra after step 1 — submitted has 1 entry, not 2.
const { runRemediation } = await import('../src/core/remediation/run.ts');
let nothingToDo = false;
const result = await runRemediation(
engine,
{
targetScore: 1,
extraRemediations: [
extra('onboard.extract_ner', 'extract-ner'),
extra('onboard.extract_timeline', 'extract-timeline-from-meetings'),
],
// Safety bound: an unfiltered recheck would resubmit completed
// extras forever; maxJobs turns that regression into a fast fail
// (extra count > 1 below) instead of a hung test.
maxJobs: 5,
},
{ onNothingToDo: () => { nothingToDo = true; } },
);
expect(nothingToDo).toBe(false);
const ids = result.submitted.map((s) => s.id);
expect(ids).toContain('onboard.extract_ner');
expect(ids).toContain('onboard.extract_timeline');
// Each extra ran exactly once — the recheck must not re-plan extras the
// run already processed.
expect(ids.filter((i) => i === 'onboard.extract_ner').length).toBe(1);
expect(ids.filter((i) => i === 'onboard.extract_timeline').length).toBe(1);
expect(result.submitted.every((s) => s.status === 'completed')).toBe(true);
expect(submittedJobs.map((j) => j.name).sort()).toEqual([
'extract-ner',
'extract-timeline-from-meetings',
]);
});
});
-15
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@@ -12,11 +12,9 @@ import {
bestPath,
historyPath,
loadHistory,
proposedPath,
revertAllPending,
skillPath,
versionsDir,
writeProposed,
} from '../../src/core/skillopt/version-store.ts';
let tmpDir: string;
@@ -81,19 +79,6 @@ describe('acceptCandidate (D8 two-phase commit)', () => {
});
});
describe('writeProposed', () => {
test('writes distinct best and proposed artifacts without mutating SKILL.md (#2635)', () => {
const candidate = '---\nname: test\n---\nproposed body\n';
const written = writeProposed(tmpDir, SKILL, candidate);
expect(written).toBe(proposedPath(tmpDir, SKILL));
expect(fs.readFileSync(bestPath(tmpDir, SKILL), 'utf8')).toBe(candidate);
expect(fs.readFileSync(proposedPath(tmpDir, SKILL), 'utf8')).toBe(candidate);
expect(fs.readFileSync(skillPath(tmpDir, SKILL), 'utf8')).toContain('baseline body');
});
});
describe('revertAllPending (D8 crash recovery)', () => {
test('no-op when no pending rows', () => {
const reverted = revertAllPending(tmpDir, SKILL);