Is Obsidian Second Brain safe?

@mcp.tool()
def obsidian_vault_health() -> str:

"command": "uv",

const m = FRONTMATTER.exec(text);

const body = fm === null ? note.text : note.text.slice(FRONTMATTER.exec(note.text)![0].length);

Linux)                uv_hint="curl -LsSf https://astral.sh/uv/install.sh | sh" ;;

subprocess.run(cmd, check=True, capture_output=True, text=True)

proc = subprocess.run(
            [UV_BIN, "run", "-m", module, url],
            cwd=str(SKILL_REPO), capture_output=True, text=True, timeout=300, env=os.environ,
        )

out = subprocess.run(["git", "-C", str(root), *args],
                                 capture_output=True, text=True, check=False)

result = subprocess.run(
        ["bash", "scripts/build.sh"],
        cwd=REPO_ROOT, capture_output=True, text=True,
        encoding="utf-8", errors="replace", check=False,
    )

proc = subprocess.run(
                shlex.split(cmd) + [q],
                capture_output=True, text=True, timeout=120,
            )

out = subprocess.run(
        ["git", "-C", repo, "log", f"-n{limit}", "--no-merges",
         "--pretty=format:%h%x1f%ad%x1f%s", "--date=short"],
        capture_output=True, text=True, check=False,
    )

subprocess.run(open_cmd, check=False, timeout=5)

subprocess.run(cmd, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL,
                       check=False, timeout=600)

result = subprocess.run(
        ["ffprobe", "-v", "quiet", "-print_format", "json",
         "-show_format", "-show_streams", str(Path(video_path).resolve())],
        capture_output=True, text=True, timeout=120)

result = subprocess.run(cmd, capture_output=True, text=True, timeout=300)

result = subprocess.run(cmd, capture_output=True, text=True, timeout=300)

result = subprocess.run(
            # CLAUDE.md bans substitution Unicode in "source files, docs, or
            # commits" generally, but this only ever scanned md/py/sh, so YAML,
            # TOML, JSON, and dotfiles were ungated. There …

return header + claude_md.read_text(encoding="utf-8")

with (d / f"recall-{datetime.now():%Y-%m-%d}.jsonl").open("a") as f:

head = (vault / r["path"]).read_text(encoding="utf-8-sig", errors="ignore")[:400]

for line in path.read_text(encoding="utf-8").splitlines():

index = json.loads(index_path.read_text(encoding="utf-8"))

return path.read_text(encoding="utf-8-sig", errors="replace")[:limit]

for line in CONFIG.read_text().splitlines():

return out.read_text().strip() if out.exists() else ""

text = note.read_text(encoding="utf-8")

text = note.read_text(encoding="utf-8")

return json.loads(LASTIMG.read_text())

return int(STATE.read_text().strip())

data = json.loads(pkg.read_text(encoding="utf-8"))

text = pyproject.read_text(encoding="utf-8")

content = template_path.read_text(encoding="utf-8")

m = FM_RE.match(path.read_text(encoding="utf-8-sig"))

if not p.exists() or p.read_text(encoding="utf-8") != content:

"SKILL_ROOT" in p.read_text(encoding="utf-8", errors="ignore")

text = md.read_text(encoding="utf-8", errors="ignore")

text = readme.read_text(encoding="utf-8")

cases_path.read_text(encoding="utf-8").splitlines() if x.strip()]

body = md.read_text(encoding="utf-8", errors="ignore")

body = md.read_text(encoding="utf-8", errors="ignore")

cases = [json.loads(line) for line in cases_path.read_text(encoding="utf-8").splitlines() if line.strip()]

cache = json.loads(index_path.read_text())

src.write_bytes(audio)

note.write_text(
        f"---\ntype: daily\ndate: {day}\nday-of-week: {dow}\ntags:\n  - daily\n"
        f"ai-first: true\n---\n\n## For future Claude\n\n"
        f"Daily note for {day} ({dow}). Journal entries captured via the Telegram j …

note.write_text(text.rstrip() + f"\n\n{header}\n\n{block}", encoding="utf-8")

note.write_text(new_text, encoding="utf-8")

note.write_text(text, encoding="utf-8")

(folder / fname).write_bytes(img_bytes)

LASTIMG.write_text(json.dumps(d))

STATE.write_text(str(n))

(att / fname).write_bytes(data)

note.write_text(fm + body.rstrip() + f"\n\n![[{fname}]]\n", encoding="utf-8")

note.write_text(
        f"---\ntype: {ntype}\ndate: {today}\ntags: [{ntype}, telegram-capture]\nai-first: true\n---\n\n"
        f"## For future Claude\n\n{body}\n",
        encoding="utf-8")

CATCHUP.write_text(
            "---\ntype: catchup-queue\nai-first: true\n---\n\n"
            "## For future Claude\n\nUnprocessed captures from the Telegram journal bot, "
            "newest at the bottom. Each line is `- [ ] date time …

path.write_text(content.strip() + "\n", encoding="utf-8")

target.write_text(content.replace(placeholder, folder), encoding="utf-8")

(d / ".gitkeep").write_text("", encoding="utf-8")

p.write_text(content, encoding="utf-8")

readme.write_text(updated, encoding="utf-8")

p.write_text(content, encoding="utf-8")

(cdir / f"{name}.jsonl").write_text(
            "\n".join(json.dumps(r, ensure_ascii=False) for r in rows) + "\n", encoding="utf-8")

index_path.write_text(json.dumps(out), encoding="utf-8")

dest.write_text(fmblock + convert_links(body, rel).lstrip("\n"), encoding="utf-8")

(out / "index.md").write_text("\n".join(idx), encoding="utf-8")

(out / "log.md").write_text(vlog.read_text(encoding="utf-8-sig", errors="replace"),
                                    encoding="utf-8")

path.write_text(json.dumps(results, default=encode_results))

path.write_text(full)

import urllib.request

req = urllib.request.Request(url, data=body, headers=headers if _EMBED_BACKEND == "openai"
                                else {"Content-Type": "application/json"})

with urllib.request.urlopen(req, timeout=10) as r:

import requests

r = requests.get(f"{API}/{method}", params=params, timeout=30)

data = requests.get(f"{FILE_API}/{path}", timeout=120).content

r = requests.post(
        "https://api.openai.com/v1/audio/transcriptions",
        headers={"Authorization": f"Bearer {OPENAI}"},
        files=files,
        timeout=120,
    )

r = requests.post(
        "https://api.anthropic.com/v1/messages",
        headers={"x-api-key": ANTHROPIC, "anthropic-version": "2023-06-01",
                 "content-type": "application/json"},
        json=body, timeout=90,
    )

import urllib.error

import urllib.request

with urllib.request.urlopen(f"{OLLAMA_URL}/api/tags", timeout=3) as r:

req = urllib.request.Request(url, data=body, headers=headers)

with urllib.request.urlopen(req, timeout=120) as r:

import requests

r = requests.post(API_URL.format(model=model), json=body, headers=headers, timeout=180)

import requests

r = requests.post(API_URL, json=body, headers=headers, timeout=180)

import requests

from requests.adapters import HTTPAdapter

from urllib3.util.retry import Retry

sess = requests.Session()

retry = Retry(
        total=retries,
        backoff_factor=backoff,
        status_forcelist=(500, 502, 503, 504),
        allowed_methods=("GET", "HEAD"),
        raise_on_status=False,
    )

adapter = HTTPAdapter(max_retries=retry)

import requests

r = requests.post(API_URL, json=body, headers=headers, timeout=timeout)

"mcpServers": {

{

mcp = FastMCP("obsidian-second-brain")

@mcp.tool()

@mcp.tool()

@mcp.tool()

@mcp.tool()

@mcp.tool()

@mcp.tool()

@mcp.tool()

@mcp.tool()

@mcp.tool()

@mcp.tool()