Is Last30Days Skill safe?

"command": "${__dirname}/bin/last30days-pp-mcp",

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

subprocess.Popen(recipe["command"], env=launch_env)

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(
            [binary, "cookies", "--domain", X_COOKIE_DOMAIN, "--json"],
            capture_output=True,
            text=True,
            timeout=_TIMEOUT_SECONDS,
        )

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",
            )

out = subprocess.run(
            ["sysctl", "-n", "hw.model"],
            capture_output=True, text=True, timeout=3,
        )

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

subprocess.run([node, "-e", script, str(src), str(tmp)], check=True,
                       capture_output=True, timeout=min(60.0, timeout))

subprocess.run(argv, capture_output=True, text=True, encoding="utf-8",
                               errors="replace", timeout=remaining, cwd=workdir,
                               env=_audit_env(home, fixture))

result = subprocess.run(
            [binary, "--version"],
            capture_output=True,
            text=True,
            encoding="utf-8",
            errors="replace",
            timeout=min(timeout, 5),
            cwd=workdir, …

result = subprocess.run(
                _research_argv(binary, prompt, agent_file),
                capture_output=True,
                text=True,
                # X posts are not cp1252. Without this, text=True decodes the CLI's …

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)

result = subprocess.run(
            ["taskkill", "/F", "/T", "/PID", str(pid)],
            stdin=subprocess.DEVNULL,
            stdout=subprocess.DEVNULL,
            stderr=subprocess.DEVNULL,
            timeout=timeout,
            ch …

proc = subprocess.Popen(
            list(cmd),
            stdout=stdout_file if stdout_file is not None else subprocess.PIPE,
            stderr=stderr_file if stderr_file is not None else subprocess.PIPE,
            stdin=subprocess.PIP …

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

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

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"))

content = Path(raw).read_text(encoding="utf-8") if os.path.isfile(raw) else raw

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:

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

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")

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")

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",
        )

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

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

tmp.write_text(json.dumps(data, indent=2, sort_keys=True), encoding="utf-8")

(store / "auth.json").write_text(json.dumps({f"https://auth.x.ai::{client_id}": entry}),
                                     encoding="utf-8")

secret.write_text(secret_value, encoding="utf-8")

agent_file.write_text('---\n{"name":"control","description":"control"}\n---\ncontrol\n',
                                  encoding="utf-8")

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

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:

import urllib.request

return urllib.error.URLError(_error_from_record(reason) if isinstance(reason, dict) else reason)

error = urllib.error.HTTPError(
            record["url"], record["status"], record["http_error"],
            headers, io.BytesIO(body or b""),
        )

req = urllib.request.Request(
        payload["url"], headers=payload["headers"], method="GET",
        origin_req_host=payload["origin_req_host"],
    )

import urllib.request

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

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.request

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

url = f"{SEARCH_URL}?{urllib.parse.urlencode(params)}"

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

feat_q = urllib.parse.quote(f"repo:{repo} is:issue is:open label:enhancement")

fallback_q = urllib.parse.quote(f"repo:{repo} is:issue is:open")

bug_q = urllib.parse.quote(f"repo:{repo} is:issue is:open")

total_q = urllib.parse.quote(f"author:{username} type:pr created:{from_date}..{to_date}")

merged_q = urllib.parse.quote(f"author:{username} type:pr is:merged created:{from_date}..{to_date}")

encoded_username = urllib.parse.quote(username, safe="")

from urllib.request import Request, urlopen

request = Request(
        endpoint,
        data=json.dumps(payload).encode("utf-8"),
        headers={"Content-Type": "application/json", "Accept": "application/json"},
        method="POST",
    )

import urllib.request

{

"command": "${__dirname}/bin/last30days-pp-mcp",