Is Last30Days Skill safe?

subprocess.run(cmd, cwd=ROOT, check=True)

result = subprocess.run(
        cmd,
        cwd=repo_dir,
        env=env,
        capture_output=True,
        text=True,
        timeout=timeout_seconds,
        check=False,
    )

subprocess.run(
        ["git", "worktree", "add", "--detach", str(worktree_dir), rev],
        cwd=REPO_ROOT,
        check=True,
        capture_output=True,
        text=True,
    )

subprocess.run(
        ["git", "worktree", "remove", "--force", str(path)],
        cwd=REPO_ROOT,
        check=False,
        capture_output=True,
        text=True,
    )

result = subprocess.run(
            ["security", "find-generic-password", "-w", "-s", service_name],
            capture_output=True,
            text=True,
            timeout=10,
        )

result = subprocess.run(
            [
                "openssl", "enc", "-aes-128-cbc", "-d",
                "-K", hex_key,
                "-iv", CHROME_IV_HEX,
                "-nopad",
            ],
            input=ciphertext, …

completed = subprocess.run(
            [pdftotext, str(path), "-"],
            capture_output=True,
            check=True,
            text=True,
            timeout=20,
        )

result = subprocess.run(
                [security, "find-generic-password",
                 "-a", account,
                 "-s", service,
                 "-w"],
                capture_output=True, text=True, timeout=5,
            )

result = subprocess.run(
                [pass_bin, "show", f"{prefix}{key}"],
                capture_output=True, text=True, timeout=5,
                encoding="utf-8", errors="replace",
            )

result = subprocess.run(
            ["gh", "auth", "token"],
            capture_output=True, text=True, timeout=5,
        )

result = subprocess.run(
                [binary, "-p", prompt, "--permission-mode", "bypassPermissions"],
                capture_output=True,
                text=True,
                timeout=timeout,
                cwd=workdir, …

proc = subprocess.run(
            command,
            capture_output=True,
            text=True,
            timeout=timeout,
        )

proc = subprocess.run(
            command,
            capture_output=True,
            text=True,
            timeout=timeout,
        )

proc = subprocess.run(
                ["brew", "install", "yt-dlp"],
                capture_output=True, text=True, timeout=120,
            )

proc = subprocess.run(
            [npx, "-y", PRINTING_PRESS_NPM, "install", slug, "--cli-only"],
            capture_output=True, text=True, timeout=DIGG_INSTALL_TIMEOUT,
        )

subprocess.run(["pbcopy"], input=user_code.encode(), check=True, timeout=5)

proc = subprocess.Popen(
        list(cmd),
        stdout=subprocess.PIPE,
        stderr=subprocess.PIPE,
        text=True,
        encoding="utf-8",
        errors="replace",
        preexec_fn=preexec,
        env=env,
    )

result = subprocess.run(
            ["xurl", "auth", "status"],
            capture_output=True,
            text=True,
            timeout=10,
        )

result = subprocess.run(
            ["xurl", "search", query, "-n", str(max_results), "--auth", "app"],
            capture_output=True,
            text=True,
            timeout=30,
        )

return subprocess.run(
        cmd,
        cwd=REPO_ROOT,
        env=env,
        text=True,
        capture_output=True,
        timeout=timeout,
        check=True,
    )

*subprocess.run(
                [
                    "rg",
                    "--files",
                    "skills/last30days/scripts",
                    "tests",
                    "-g",
                    "*.py", …

result = subprocess.run(
            [
                sys.executable,
                str(SCRIPT_DIR / "last30days.py"),
                search_term,
                "--emit=json",
                "--json-profile=raw",
                "--q …

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

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

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

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

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

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

with open(path, encoding="utf-8") as f:

rows = json.loads(EVAL_TOPICS_FILE.read_text())

payload = json.loads(cache_file.read_text())

if not engine.exists() or "--json-profile" in engine.read_text(encoding="utf-8"):

payload = json.loads(metrics_path.read_text()) if metrics_path.exists() else {

lines = summary_path.read_text().splitlines() if summary_path.exists() else ["# Search Quality Evaluation", ""]

rows = json.loads(path.read_text())

return Path(path).expanduser().read_text(encoding="utf-8")

with open(plan_str, encoding="utf-8") as f:

payload = json.loads(cache_path.read_text(encoding="utf-8"))

payload = json.loads(cache_path.read_text(encoding="utf-8"))

marker_found = generated_marker in existing_path.read_text(encoding="utf-8")

generated = html_render.LIBRARY_BRIEF_MARKER in path.read_text(
                encoding="utf-8"
            )

with open(plan_str, encoding="utf-8") as f:

return "microsoft" in Path("/proc/version").read_text().lower()

payload = json.loads(path.read_text(encoding="utf-8"))

raw = path.read_text(encoding="utf-8")

raw = file_path.read_text(encoding="utf-8")

payload = json.loads(path.read_text(encoding="utf-8"))

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

SKILL_MD.write_text(text3, encoding="utf-8")

path.write_text(json.dumps(data, indent=2) + "\n", encoding="utf-8")

path.write_text(json.dumps(data, indent=2) + "\n", encoding="utf-8")

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

with open(path, "w", encoding="utf-8") as f:

cache_file.write_text(json.dumps(payload, indent=2))

(output_dir / "metrics.json").write_text(json.dumps(payload, indent=2))

(output_dir / "summary.md").write_text("\n".join(lines) + "\n")

metrics_path.write_text(json.dumps(payload, indent=2))

summary_path.write_text("\n".join(lines).rstrip() + "\n")

_publish_metadata_path(html_path).write_text(json.dumps(payload, indent=2), encoding="utf-8")

(target / "last-run.json").write_text(json.dumps(payload, indent=2))

report_cache_path.write_text(json.dumps(cache_payload, indent=2))

cache_path.write_text(json.dumps(payload, indent=2), encoding="utf-8")

pending_path.write_text(json.dumps(payload, indent=2), encoding="utf-8")

feed_path.write_text(feed_xml, encoding="utf-8")

index_path.write_text(index_html, encoding="utf-8")

feed_path.write_text(
            feed.render_atom(
                entries,
                library_id=library_id,
                entry_urls=entry_urls,
                author=feed_author,
            ),
            encoding="utf-8", …

index_path.write_text(
            html_render.render_library_index(entries, entry_urls=entry_urls),
            encoding="utf-8",
        )

shutil.copyfile(str(db_path), tmp_path)

shutil.copyfile(str(db_path), tmp_path)

path.write_text(json.dumps(payload, indent=2), encoding="utf-8")

path.write_text(raw, encoding="utf-8")

shutil.copyfile(store, os.path.join(child_store_dir, store.name))

from urllib.error import HTTPError, URLError

from urllib.request import Request, urlopen

request = Request(
        GEMINI_API_URL.format(model=model, api_key=api_key),
        data=json.dumps(body).encode("utf-8"),
        headers={"Content-Type": "application/json"},
        method="POST",
    )

with urlopen(request, timeout=120) as response:

from urllib.parse import urlparse

parsed = urlparse(url)

expected = urlparse(domain or DEFAULT_DOMAIN)

from urllib.parse import urlencode

url = f"{_resolve_search_url(config)}?{urlencode(params)}"

from urllib.parse import urlparse

scheme = urlparse(url).scheme.lower()

import urllib.error

import urllib.request

req = urllib.request.Request(
            url, headers=headers or {"User-Agent": "last30days-doctor"}
        )

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

import urllib.parse

params = urllib.parse.urlencode({"q": topic, "limit": limit})

from urllib.parse import parse_qs, urlencode, urlparse, urlunparse

parsed = urlparse(url.strip().lower())

params = parse_qs(parsed.query)

query = urlencode(clean_params, doseq=True)

return urlunparse((parsed.scheme, netloc, parsed.path.rstrip("/"), "", query, ""))

import urllib.error

import urllib.parse

import urllib.request

{