| import fs from "node:fs/promises"; |
| import os from "node:os"; |
| import path from "node:path"; |
| import { afterEach, beforeEach, describe, expect, it } from "vitest"; |
| import { deriveSkynetNucleusState } from "./nucleus.js"; |
| import { deriveSkynetStudyProgram, syncSkynetStudyProgram } from "./study-program.js"; |
|
|
| describe("skynet study program", () => { |
| let workspaceRoot = ""; |
|
|
| beforeEach(async () => { |
| workspaceRoot = await fs.mkdtemp(path.join(os.tmpdir(), "skynet-study-program-")); |
| }); |
|
|
| afterEach(async () => { |
| await fs.rm(workspaceRoot, { recursive: true, force: true }); |
| }); |
|
|
| it("derives concrete work items from the current focus and nucleus mode", () => { |
| const nucleus = deriveSkynetNucleusState({ |
| sessionKey: "agent:openskynet:main", |
| studyFocus: { |
| key: "endogenous_science_agenda", |
| title: "Agenda cient铆fica end贸gena", |
| thesis: "Persist a study agenda across cycles.", |
| whyNow: "No persistent agenda exists yet.", |
| nextExperiment: "Define a persistent study queue.", |
| successCriteria: "A concrete queue is produced.", |
| priority: 0.62, |
| supportingAgendaClassKeys: ["initiative:autonomy_improvement"], |
| }, |
| operationalSignals: [], |
| learnedConstraints: [], |
| }); |
|
|
| const program = deriveSkynetStudyProgram({ |
| sessionKey: "agent:openskynet:main", |
| supervisor: { |
| sessionKey: "agent:openskynet:main", |
| updatedAt: 1, |
| focus: { |
| key: "endogenous_science_agenda", |
| title: "Agenda cient铆fica end贸gena", |
| thesis: "Persist a study agenda across cycles.", |
| whyNow: "No persistent agenda exists yet.", |
| nextExperiment: "Define a persistent study queue.", |
| successCriteria: "A concrete queue is produced.", |
| priority: 0.62, |
| supportingAgendaClassKeys: ["initiative:autonomy_improvement"], |
| }, |
| tracks: [ |
| { |
| key: "endogenous_science_agenda", |
| title: "Agenda cient铆fica end贸gena", |
| thesis: "Persist a study agenda across cycles.", |
| whyNow: "No persistent agenda exists yet.", |
| nextExperiment: "Define a persistent study queue.", |
| successCriteria: "A concrete queue is produced.", |
| priority: 0.62, |
| evidence: ["Agenda still open."], |
| supportingAgendaClassKeys: ["initiative:autonomy_improvement"], |
| lastUpdatedAt: 1, |
| }, |
| { |
| key: "bicameral_core", |
| title: "N煤cleo dual o bicameral", |
| thesis: "Separate executive logic from dynamic pattern processing.", |
| whyNow: "The stack remains monolithic.", |
| nextExperiment: "Define the dual prototype.", |
| successCriteria: "A causal interface exists.", |
| priority: 0.56, |
| evidence: ["Historic line survives."], |
| supportingAgendaClassKeys: ["initiative:autonomy_improvement"], |
| lastUpdatedAt: 1, |
| }, |
| { |
| key: "cognitive_metabolism", |
| title: "Metabolismo cognitivo real", |
| thesis: "Thinking should have cost.", |
| whyNow: "Loop cost still diffuses.", |
| nextExperiment: "Measure metabolic strain.", |
| successCriteria: "Budget changes behavior.", |
| priority: 0.51, |
| evidence: ["Metabolic debt remains."], |
| supportingAgendaClassKeys: ["initiative:somatic_optimization"], |
| lastUpdatedAt: 1, |
| }, |
| ], |
| }, |
| nucleus, |
| }); |
|
|
| expect(program.items).toHaveLength(3); |
| expect(program.items[0]?.trackKey).toBe("endogenous_science_agenda"); |
| expect(program.items[0]?.deliverable).toContain("Define a persistent study queue"); |
| expect(program.items[2]?.title).toContain("bucle emp铆rico"); |
| }); |
|
|
| it("persists the study program to json and markdown artifacts", async () => { |
| const supervisor = { |
| sessionKey: "agent:openskynet:main", |
| updatedAt: 1, |
| focus: { |
| key: "decision_bifurcation" as const, |
| title: "Decisi贸n como bifurcaci贸n y estabilizaci贸n", |
| thesis: "Stabilize commitment.", |
| whyNow: "Stalls were observed.", |
| nextExperiment: "Produce a new reframe.", |
| successCriteria: "The next plan changes materially.", |
| priority: 0.59, |
| supportingAgendaClassKeys: ["initiative:stalled_progress"], |
| }, |
| tracks: [ |
| { |
| key: "decision_bifurcation" as const, |
| title: "Decisi贸n como bifurcaci贸n y estabilizaci贸n", |
| thesis: "Stabilize commitment.", |
| whyNow: "Stalls were observed.", |
| nextExperiment: "Produce a new reframe.", |
| successCriteria: "The next plan changes materially.", |
| priority: 0.59, |
| evidence: ["Repeated stalls."], |
| supportingAgendaClassKeys: ["initiative:stalled_progress"], |
| lastUpdatedAt: 1, |
| }, |
| { |
| key: "cognitive_metabolism" as const, |
| title: "Metabolismo cognitivo real", |
| thesis: "Thinking should have cost.", |
| whyNow: "Loop cost still diffuses.", |
| nextExperiment: "Measure metabolic strain.", |
| successCriteria: "Budget changes behavior.", |
| priority: 0.52, |
| evidence: ["Metabolic debt remains."], |
| supportingAgendaClassKeys: ["initiative:somatic_optimization"], |
| lastUpdatedAt: 1, |
| }, |
| ], |
| }; |
|
|
| const nucleus = deriveSkynetNucleusState({ |
| sessionKey: "agent:openskynet:main", |
| studyFocus: supervisor.focus, |
| operationalSignals: [ |
| { |
| id: "op-1", |
| recordedAt: 1, |
| iteration: 1, |
| terminationReason: "completed", |
| turnHealth: "stalled", |
| progressObserved: false, |
| timelineDelta: 0, |
| kernelUpdated: true, |
| latencyBreakdown: { |
| sendAgentTurnMs: 1000, |
| loadSnapshotMs: 100, |
| readLatestReplyMs: 100, |
| totalMs: 16000, |
| }, |
| causalImpact: 0, |
| }, |
| { |
| id: "op-2", |
| recordedAt: 2, |
| iteration: 2, |
| terminationReason: "completed", |
| turnHealth: "stalled", |
| progressObserved: false, |
| timelineDelta: 0, |
| kernelUpdated: true, |
| latencyBreakdown: { |
| sendAgentTurnMs: 1000, |
| loadSnapshotMs: 100, |
| readLatestReplyMs: 100, |
| totalMs: 15000, |
| }, |
| causalImpact: 0, |
| }, |
| ], |
| learnedConstraints: [], |
| }); |
|
|
| const program = await syncSkynetStudyProgram({ |
| workspaceRoot, |
| sessionKey: "agent:openskynet:main", |
| supervisor, |
| nucleus, |
| }); |
|
|
| expect(program.mode).toBe("reframe"); |
| const jsonPath = path.join( |
| workspaceRoot, |
| ".openskynet", |
| "skynet-study-program", |
| "agent_openskynet_main.json", |
| ); |
| const markdownPath = path.join(workspaceRoot, "memory", "SKYNET_STUDY_PROGRAM.md"); |
| expect(JSON.parse(await fs.readFile(jsonPath, "utf-8")).items).toHaveLength(3); |
| expect(await fs.readFile(markdownPath, "utf-8")).toContain("# SKYNET Study Program"); |
| }); |
| }); |
|
|
