diff --git a/handlers/learning-status.js b/handlers/learning-status.js
index 083382a..f0f7f32 100644
--- a/handlers/learning-status.js
+++ b/handlers/learning-status.js
@@ -112,7 +112,10 @@ export async function postLearningStatus(
   }
 
   // 2. 이번 기수에서 사용자가 제출한 풀이 목록 조회
-  const solvedProblems = await fetchCohortUserSolutions(repoOwner, repoName, username, appToken);
+  const cohortSolutions = await fetchCohortUserSolutions(repoOwner, repoName, username, appToken);
+  const solvedProblems = cohortSolutions.filter((problemName) =>
+    Object.hasOwn(categories, problemName)
+  );
   console.log(
     `[learningStatus] PR #${prNumber}: ${username} has ${solvedProblems.length} solutions in current cohort`
   );
diff --git a/handlers/learning-status.test.js b/handlers/learning-status.test.js
new file mode 100644
index 0000000..55ff679
--- /dev/null
+++ b/handlers/learning-status.test.js
@@ -0,0 +1,94 @@
+import { describe, it, expect, vi, beforeEach, afterEach } from "vitest";
+
+vi.mock("../utils/learningData.js", () => ({
+  fetchProblemCategories: vi.fn(),
+  fetchCohortUserSolutions: vi.fn(),
+  fetchPRSubmissions: vi.fn(),
+}));
+
+vi.mock("../utils/openai.js", () => ({
+  generateApproachAnalysis: vi.fn(),
+}));
+
+import { postLearningStatus } from "./learning-status.js";
+import {
+  fetchProblemCategories,
+  fetchCohortUserSolutions,
+  fetchPRSubmissions,
+} from "../utils/learningData.js";
+import { generateApproachAnalysis } from "../utils/openai.js";
+
+describe("postLearningStatus — 누적 풀이 집계", () => {
+  let originalFetch;
+
+  beforeEach(() => {
+    vi.clearAllMocks();
+    originalFetch = globalThis.fetch;
+    fetchProblemCategories.mockResolvedValue({
+      "two-sum": {
+        difficulty: "Easy",
+        blindCategories: ["Array"],
+        intended_approach: "Hash Table",
+      },
+    });
+    fetchPRSubmissions.mockResolvedValue([
+      { problemName: "two-sum", rawUrl: "https://example.com/solution.py" },
+    ]);
+    generateApproachAnalysis.mockResolvedValue({
+      matches: true,
+      explanation: "Uses a hash table",
+    });
+    globalThis.fetch = vi
+      .fn()
+      .mockResolvedValueOnce({
+        ok: true,
+        text: () => Promise.resolve("class Solution: pass"),
+      })
+      .mockResolvedValueOnce({
+        ok: true,
+        json: () => Promise.resolve([]),
+      })
+      .mockResolvedValueOnce({ ok: true });
+  });
+
+  afterEach(() => {
+    globalThis.fetch = originalFetch;
+  });
+
+  it.each([
+    {
+      name: "등록된 문제의 풀이 수를 유지한다",
+      solved: ["two-sum"],
+      expected: 1,
+    },
+    {
+      name: "미등록 문제가 섞여 있으면 등록된 문제만 집계한다",
+      solved: ["to-lower-case", "two-sum"],
+      expected: 1,
+    },
+    {
+      name: "미등록 문제만 풀었으면 풀이 수는 0이다",
+      solved: ["to-lower-case"],
+      expected: 0,
+    },
+  ])("$name", async ({ solved, expected }) => {
+    fetchCohortUserSolutions.mockResolvedValue(solved);
+
+    await postLearningStatus(
+      "DaleStudy",
+      "leetcode-study",
+      42,
+      "learner",
+      "token",
+      {}
+    );
+
+    const post = globalThis.fetch.mock.calls.find(
+      ([, options]) => options?.method === "POST"
+    );
+    expect(post).toBeDefined();
+
+    const body = JSON.parse(post[1].body).body;
+    expect(body).toContain(`풀이한 문제: ${expected} / 1개`);
+  });
+});