Skills last30days
📦
last30days
Content revision r1 High Risk 🌐 Network access📁 Filesystem access🔑 Env variables⚡ Contains scripts⚙️ External commands
Research Current Community Trends
Fast-changing topics are hard to research from memory. This skill gathers recent Reddit, X, and web signals, then turns them into practical guidance.
Supports: Claude Codex Code(CC)
Stop for confirmation before installing.
Review the plan and obtain explicit user consent before changing files.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Agent request
Review the Skillstore skill "last30days" from https://skillstore.io/skills/sickn33-last30days.md and its manifest at https://skillstore.io/api/skills/sickn33-last30days/manifest. Verify the artifact. Stop and obtain explicit user consent before installing or changing files.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "last30days". /last30days best Claude Code skills
Expected outcome:
A ranked summary of mentioned skills, marketplaces, and resources with source types and engagement notes.
Using "last30days". /last30days iOS app mockups for Nano Banana Pro
Expected outcome:
A synthesis of current UI prompting patterns followed by a tailored prompt format for the target image tool.
Using "last30days". /last30days what are people saying about DeepSeek R1
Expected outcome:
A recent sentiment summary with positive themes, concerns, and the strongest recurring discussion points.
Security Audit
High Riskv5 • 7/9/2026 Open versioned report
Confirmed runtime network calls to OpenAI, xAI, and Reddit, plus API-key handling, hidden configuration loading, and local report/cache writes. Most markdown, plan, test, and fixture hits are false positives, but one packaged photo contains GPS EXIF metadata. No evidence found of prompt-injection text that tries to bypass security review.
36
Files scanned
7,069
Lines analyzed
66
Review items
0
False positives ignored
Confirmed security concerns (4)
High
Environment file access
CONFIG_FILE = CONFIG_DIR / ".env"
The environment helper defines and loads ~/.config/last30days/.env. This is legitimate configuration loading, but it reads a hidden file that may contain API keys.
High
Environment file access
"""Load configuration from ~/.config/last30days/.env and environment."""
The environment helper defines and loads ~/.config/last30days/.env. This is legitimate configuration loading, but it reads a hidden file that may contain API keys.
High
Environment file access
cat > ~/.config/last30days/.env << 'ENVEOF'
The setup instructions solicit OpenAI or xAI API keys for storage in ~/.config/last30days/.env. Legitimate optional setup still handles sensitive credentials.
High
Environment file access
chmod 600 ~/.config/last30days/.env
The setup instructions solicit OpenAI or xAI API keys for storage in ~/.config/last30days/.env. Legitimate optional setup still handles sensitive credentials.
Capability review items (66)
These are real local capabilities that may be expected for this skill, so they require review but are not counted as confirmed malicious behavior.
High
Generic API/secret keys
config["OPENAI_API_KEY"],
The main pipeline passes configured API keys into OpenAI or xAI search clients for outbound requests. This is intended behavior, but it handles user secrets.
High
Generic API/secret keys
config["OPENAI_API_KEY"],
The main pipeline passes configured API keys into OpenAI or xAI search clients for outbound requests. This is intended behavior, but it handles user secrets.
High
Generic API/secret keys
config["XAI_API_KEY"],
The main pipeline passes configured API keys into OpenAI or xAI search clients for outbound requests. This is intended behavior, but it handles user secrets.
High
Hidden file in home directory
"""Load configuration from ~/.config/last30days/.env and environment."""
The environment helper defines and loads ~/.config/last30days/.env. This is legitimate configuration loading, but it reads a hidden file that may contain API keys.
High
Generic API/secret keys
'OPENAI_API_KEY': os.environ.get('OPENAI_API_KEY') or file_env.get('OPENAI_API_KEY'),
The code reads OPENAI_API_KEY or XAI_API_KEY from process environment or the .env file. These are sensitive credentials used by provider clients.
High
Generic API/secret keys
'XAI_API_KEY': os.environ.get('XAI_API_KEY') or file_env.get('XAI_API_KEY'),
The code reads OPENAI_API_KEY or XAI_API_KEY from process environment or the .env file. These are sensitive credentials used by provider clients.
High
Generic API/secret keys
has_openai = bool(config.get('OPENAI_API_KEY'))
The code checks whether OpenAI or xAI keys are present to select active sources. This is intentional, but it is real credential-aware behavior.
High
Generic API/secret keys
has_xai = bool(config.get('XAI_API_KEY'))
The code checks whether OpenAI or xAI keys are present to select active sources. This is intentional, but it is real credential-aware behavior.
High
Generic API/secret keys
has_openai = bool(config.get('OPENAI_API_KEY'))
The code checks whether OpenAI or xAI keys are present to select active sources. This is intentional, but it is real credential-aware behavior.
High
Generic API/secret keys
has_xai = bool(config.get('XAI_API_KEY'))
The code checks whether OpenAI or xAI keys are present to select active sources. This is intentional, but it is real credential-aware behavior.
High
Generic API/secret keys
headers = {"Authorization": f"Bearer {api_key}"}
The model selector checks configured API keys and uses an Authorization header for provider model discovery. This is legitimate but handles sensitive credentials.
High
Generic API/secret keys
if config.get("OPENAI_API_KEY"):
The model selector checks configured API keys and uses an Authorization header for provider model discovery. This is legitimate but handles sensitive credentials.
High
Generic API/secret keys
config["OPENAI_API_KEY"],
The model selector checks configured API keys and uses an Authorization header for provider model discovery. This is legitimate but handles sensitive credentials.
High
Generic API/secret keys
if config.get("XAI_API_KEY"):
The model selector checks configured API keys and uses an Authorization header for provider model discovery. This is legitimate but handles sensitive credentials.
High
Generic API/secret keys
config["XAI_API_KEY"],
The model selector checks configured API keys and uses an Authorization header for provider model discovery. This is legitimate but handles sensitive credentials.
High
Generic API/secret keys
"Authorization": f"Bearer {api_key}",
The OpenAI client places the API key in an Authorization bearer header. This is necessary for the feature but is real secret transmission to an external API.
High
Generic API/secret keys
"Authorization": f"Bearer {api_key}",
The xAI client places the API key in an Authorization bearer header. This is necessary for the feature but is real secret transmission to an external API.
High
Hidden file in home directory
mkdir -p ~/.config/last30days
The skill instructions explicitly create or use hidden paths under ~/.config or ~/.claude during setup and execution. This is user-directed but still a real filesystem side effect.
High
Hidden file in home directory
cat > ~/.config/last30days/.env << 'ENVEOF'
The skill instructions explicitly create or use hidden paths under ~/.config or ~/.claude during setup and execution. This is user-directed but still a real filesystem side effect.
High
Hidden file in home directory
chmod 600 ~/.config/last30days/.env
The skill instructions explicitly create or use hidden paths under ~/.config or ~/.claude during setup and execution. This is user-directed but still a real filesystem side effect.
High
Hidden file in home directory
python3 ~/.claude/skills/last30days/scripts/last30days.py "$ARGUMENTS" --emit=compact 2>&1
The skill instructions explicitly create or use hidden paths under ~/.config or ~/.claude during setup and execution. This is user-directed but still a real filesystem side effect.
High
Generic API/secret keys
OPENAI_API_KEY=
The setup instructions solicit OpenAI or xAI API keys for storage in ~/.config/last30days/.env. Legitimate optional setup still handles sensitive credentials.
High
Generic API/secret keys
XAI_API_KEY=
The setup instructions solicit OpenAI or xAI API keys for storage in ~/.config/last30days/.env. Legitimate optional setup still handles sensitive credentials.
Medium
Python file write/append
with open(cache_path, 'w') as f:
The cache helper writes JSON files under the user cache directory. The path is controlled by the application, but it persists user research data locally.
Medium
Python file write/append
with open(MODEL_CACHE_FILE, 'w') as f:
The cache helper writes JSON files under the user cache directory. The path is controlled by the application, but it persists user research data locally.
Medium
Hidden file access
"""Load configuration from ~/.config/last30days/.env and environment."""
The environment helper defines and loads ~/.config/last30days/.env. This is legitimate configuration loading, but it reads a hidden file that may contain API keys.
Medium
Python file write/append
with open(OUTPUT_DIR / "report.json", 'w') as f:
The renderer writes reports, context files, and raw provider responses under ~/.local/share/last30days/out. This persists user research output and raw API data locally.
Medium
Python file write/append
with open(OUTPUT_DIR / "report.md", 'w') as f:
The renderer writes reports, context files, and raw provider responses under ~/.local/share/last30days/out. This persists user research output and raw API data locally.
Medium
Python file write/append
with open(OUTPUT_DIR / "last30days.context.md", 'w') as f:
The renderer writes reports, context files, and raw provider responses under ~/.local/share/last30days/out. This persists user research output and raw API data locally.
Medium
Python file write/append
with open(OUTPUT_DIR / "raw_openai.json", 'w') as f:
The renderer writes reports, context files, and raw provider responses under ~/.local/share/last30days/out. This persists user research output and raw API data locally.
Medium
Python file write/append
with open(OUTPUT_DIR / "raw_xai.json", 'w') as f:
The renderer writes reports, context files, and raw provider responses under ~/.local/share/last30days/out. This persists user research output and raw API data locally.
Medium
Python file write/append
with open(OUTPUT_DIR / "raw_reddit_threads_enriched.json", 'w') as f:
The renderer writes reports, context files, and raw provider responses under ~/.local/share/last30days/out. This persists user research output and raw API data locally.
Medium
Hidden file access
mkdir -p ~/.config/last30days
The skill instructions explicitly create or use hidden paths under ~/.config or ~/.claude during setup and execution. This is user-directed but still a real filesystem side effect.
Medium
Hidden file access
cat > ~/.config/last30days/.env << 'ENVEOF'
The skill instructions explicitly create or use hidden paths under ~/.config or ~/.claude during setup and execution. This is user-directed but still a real filesystem side effect.
Medium
Hidden file access
chmod 600 ~/.config/last30days/.env
The skill instructions explicitly create or use hidden paths under ~/.config or ~/.claude during setup and execution. This is user-directed but still a real filesystem side effect.
Medium
Hidden file access
python3 ~/.claude/skills/last30days/scripts/last30days.py "$ARGUMENTS" --emit=compact 2>&1
The skill instructions explicitly create or use hidden paths under ~/.config or ~/.claude during setup and execution. This is user-directed but still a real filesystem side effect.
Low
Python environment access
os.environ["LAST30DAYS_DEBUG"] = "1"
The --debug option mutates LAST30DAYS_DEBUG in the process environment to increase logging. It is intentional and low impact, but it is real environment manipulation.
Low
Python environment access
'OPENAI_API_KEY': os.environ.get('OPENAI_API_KEY') or file_env.get('OPENAI_API_KEY'),
The code reads OPENAI_API_KEY or XAI_API_KEY from process environment or the .env file. These are sensitive credentials used by provider clients.
Low
Python environment access
'XAI_API_KEY': os.environ.get('XAI_API_KEY') or file_env.get('XAI_API_KEY'),
The code reads OPENAI_API_KEY or XAI_API_KEY from process environment or the .env file. These are sensitive credentials used by provider clients.
Low
Python environment access
'OPENAI_MODEL_POLICY': os.environ.get('OPENAI_MODEL_POLICY') or file_env.get('OPENAI_MODEL_POLICY',
The code reads model policy configuration from the environment or .env file. This is low-severity configuration access that can alter provider behavior.
Low
Python environment access
'OPENAI_MODEL_PIN': os.environ.get('OPENAI_MODEL_PIN') or file_env.get('OPENAI_MODEL_PIN'),
The code reads model policy configuration from the environment or .env file. This is low-severity configuration access that can alter provider behavior.
Low
Python environment access
'XAI_MODEL_POLICY': os.environ.get('XAI_MODEL_POLICY') or file_env.get('XAI_MODEL_POLICY', 'latest')
The code reads model policy configuration from the environment or .env file. This is low-severity configuration access that can alter provider behavior.
Low
Python environment access
'XAI_MODEL_PIN': os.environ.get('XAI_MODEL_PIN') or file_env.get('XAI_MODEL_PIN'),
The code reads model policy configuration from the environment or .env file. This is low-severity configuration access that can alter provider behavior.
Low
Configuration library
has_openai = bool(config.get('OPENAI_API_KEY'))
The code checks whether OpenAI or xAI keys are present to select active sources. This is intentional, but it is real credential-aware behavior.
Low
Configuration library
has_xai = bool(config.get('XAI_API_KEY'))
The code checks whether OpenAI or xAI keys are present to select active sources. This is intentional, but it is real credential-aware behavior.
Low
Configuration library
has_openai = bool(config.get('OPENAI_API_KEY'))
The code checks whether OpenAI or xAI keys are present to select active sources. This is intentional, but it is real credential-aware behavior.
Low
Configuration library
has_xai = bool(config.get('XAI_API_KEY'))
The code checks whether OpenAI or xAI keys are present to select active sources. This is intentional, but it is real credential-aware behavior.
Low
HTTP client library
def request(
The HTTP helper imports urllib, constructs requests, and opens URLs including Reddit JSON endpoints. This is intentional outbound network access.
Low
HTTP client library
return request("GET", url, headers=headers, **kwargs)
The HTTP helper imports urllib, constructs requests, and opens URLs including Reddit JSON endpoints. This is intentional outbound network access.
Low
HTTP client library
return request("POST", url, headers=headers, json_data=json_data, **kwargs)
The HTTP helper imports urllib, constructs requests, and opens URLs including Reddit JSON endpoints. This is intentional outbound network access.
Low
Python HTTP libraries
import urllib.request
The HTTP helper imports urllib, constructs requests, and opens URLs including Reddit JSON endpoints. This is intentional outbound network access.
Low
Python HTTP libraries
req = urllib.request.Request(url, data=data, headers=headers, method=method)
The HTTP helper imports urllib, constructs requests, and opens URLs including Reddit JSON endpoints. This is intentional outbound network access.
Low
Python HTTP libraries
with urllib.request.urlopen(req, timeout=timeout) as response:
The HTTP helper imports urllib, constructs requests, and opens URLs including Reddit JSON endpoints. This is intentional outbound network access.
Low
Hardcoded URL
url = f"https://www.reddit.com{path}?raw_json=1"
The HTTP helper imports urllib, constructs requests, and opens URLs including Reddit JSON endpoints. This is intentional outbound network access.
Low
Python environment access
DEBUG = os.environ.get("LAST30DAYS_DEBUG", "").lower() in ("1", "true", "yes")
The module reads LAST30DAYS_DEBUG from the environment to enable diagnostic logging. This is real but low-severity environment-controlled behavior.
Low
HTTP/HTTPS get
response = http.get(OPENAI_MODELS_URL, headers=headers)
The model selector uses the OpenAI models endpoint through the shared HTTP client. This is intentional outbound provider communication.
Low
Hardcoded URL
OPENAI_MODELS_URL = "https://api.openai.com/v1/models"
The model selector uses the OpenAI models endpoint through the shared HTTP client. This is intentional outbound provider communication.
Low
Configuration library
if config.get("OPENAI_API_KEY"):
The model selector checks configured API keys and uses an Authorization header for provider model discovery. This is legitimate but handles sensitive credentials.
Low
Configuration library
config.get("OPENAI_MODEL_POLICY", "auto"),
The model selector checks configured API keys and uses an Authorization header for provider model discovery. This is legitimate but handles sensitive credentials.
Low
Configuration library
config.get("OPENAI_MODEL_PIN"),
The model selector checks configured API keys and uses an Authorization header for provider model discovery. This is legitimate but handles sensitive credentials.
Low
Configuration library
if config.get("XAI_API_KEY"):
The model selector checks configured API keys and uses an Authorization header for provider model discovery. This is legitimate but handles sensitive credentials.
Low
Configuration library
config.get("XAI_MODEL_POLICY", "latest"),
The model selector checks configured API keys and uses an Authorization header for provider model discovery. This is legitimate but handles sensitive credentials.
Low
Configuration library
config.get("XAI_MODEL_PIN"),
The model selector checks configured API keys and uses an Authorization header for provider model discovery. This is legitimate but handles sensitive credentials.
Low
Hardcoded URL
OPENAI_RESPONSES_URL = "https://api.openai.com/v1/responses"
The OpenAI Responses endpoint is the active destination for Reddit discovery. The skill intentionally makes authenticated external API calls.
Low
HTTP/HTTPS get
data = http.get_reddit_json(path)
The Reddit enrichment flow calls http.get_reddit_json for fetched thread URLs. This is intended outbound network access to reddit.com.
Low
Hardcoded URL
XAI_RESPONSES_URL = "https://api.x.ai/v1/responses"
The xAI Responses endpoint is the active destination for X search. The skill intentionally makes authenticated external API calls.
Risk Factors
🌐 Network access (31)
fixtures/openai_sample.json:12 fixtures/xai_sample.json:12 plans/feat-add-websearch-source.md:109 README.md:13 README.md:172 scripts/lib/http.py:34 scripts/lib/http.py:119 scripts/lib/http.py:124 scripts/lib/http.py:8 scripts/lib/http.py:66 scripts/lib/http.py:75 scripts/lib/http.py:145 scripts/lib/models.py:82 scripts/lib/models.py:9 scripts/lib/models.py:13 scripts/lib/openai_reddit.py:16 scripts/lib/openai_reddit.py:59 scripts/lib/reddit_enrich.py:46 scripts/lib/reddit_enrich.py:220 scripts/lib/xai_x.py:17 scripts/lib/xai_x.py:35 tests/test_normalize.py:19 tests/test_normalize.py:40 tests/test_normalize.py:56 tests/test_normalize.py:80 tests/test_normalize.py:100 tests/test_normalize.py:125 tests/test_render.py:43 tests/test_score.py:87 tests/test_score.py:97 tests/test_score.py:126
📁 Filesystem access (50)
fixtures/reddit_thread_sample.json:81 fixtures/reddit_thread_sample.json:81 README.md:13 README.md:16 README.md:17 README.md:21 README.md:13 README.md:16 README.md:17 README.md:21 scripts/lib/cache.py:99 scripts/lib/cache.py:135 scripts/lib/env.py:35 scripts/lib/env.py:111 scripts/lib/env.py:35 scripts/lib/env.py:111 scripts/lib/render.py:70 scripts/lib/render.py:70 scripts/lib/render.py:356 scripts/lib/render.py:360 scripts/lib/render.py:364 scripts/lib/render.py:369 scripts/lib/render.py:373 scripts/lib/render.py:377 scripts/lib/ui.py:95 scripts/lib/ui.py:111 scripts/lib/ui.py:118 scripts/lib/ui.py:121 scripts/lib/ui.py:126 scripts/lib/ui.py:127 scripts/lib/ui.py:95 scripts/lib/ui.py:111 scripts/lib/ui.py:118 scripts/lib/ui.py:121 scripts/lib/ui.py:126 scripts/lib/ui.py:127 SKILL.md:70 SKILL.md:71 SKILL.md:82 SKILL.md:83 SKILL.md:98 SKILL.md:282 SKILL.md:420 SKILL.md:70 SKILL.md:71 SKILL.md:82 SKILL.md:83 SKILL.md:98 SKILL.md:282 SKILL.md:420
🔑 Env variables (50)
plans/feat-add-websearch-source.md:264 plans/feat-add-websearch-source.md:265 plans/feat-add-websearch-source.md:264 plans/feat-add-websearch-source.md:265 README.md:18 README.md:19 README.md:183 scripts/last30days.py:320 scripts/last30days.py:78 scripts/last30days.py:101 scripts/last30days.py:141 scripts/last30days.py:384 scripts/last30days.py:385 scripts/lib/env.py:41 scripts/lib/env.py:42 scripts/lib/env.py:43 scripts/lib/env.py:44 scripts/lib/env.py:45 scripts/lib/env.py:46 scripts/lib/env.py:62 scripts/lib/env.py:63 scripts/lib/env.py:80 scripts/lib/env.py:81 scripts/lib/env.py:41 scripts/lib/env.py:42 scripts/lib/env.py:62 scripts/lib/env.py:63 scripts/lib/env.py:80 scripts/lib/env.py:81 scripts/lib/http.py:13 scripts/lib/models.py:159 scripts/lib/models.py:162 scripts/lib/models.py:163 scripts/lib/models.py:167 scripts/lib/models.py:170 scripts/lib/models.py:171 scripts/lib/models.py:52 scripts/lib/models.py:60 scripts/lib/models.py:81 scripts/lib/models.py:111 scripts/lib/models.py:119 scripts/lib/models.py:159 scripts/lib/models.py:161 scripts/lib/models.py:167 scripts/lib/models.py:169 scripts/lib/openai_reddit.py:80 scripts/lib/openai_reddit.py:92 scripts/lib/openai_reddit.py:109 scripts/lib/render.py:68 scripts/lib/render.py:69
⚡ Contains scripts (1)
⚙️ External commands (43)
scripts/lib/render.py:68 scripts/lib/render.py:69 scripts/lib/render.py:70 scripts/lib/render.py:77 SKILL.md:36 SKILL.md:37 SKILL.md:38 SKILL.md:49 SKILL.md:50 SKILL.md:51 SKILL.md:69-85 SKILL.md:85-97 SKILL.md:97-99 SKILL.md:99-123 SKILL.md:123-124 SKILL.md:124-125 SKILL.md:125-130 SKILL.md:130-131 SKILL.md:131-136 SKILL.md:136-137 SKILL.md:137-142 SKILL.md:142-143 SKILL.md:143-161 SKILL.md:161-163 SKILL.md:163-237 SKILL.md:237-246 SKILL.md:246-250 SKILL.md:250-259 SKILL.md:259-265 SKILL.md:265-272 SKILL.md:272-276 SKILL.md:276-285 SKILL.md:285-289 SKILL.md:289-292 SKILL.md:292-300 SKILL.md:300-308 SKILL.md:308-339 SKILL.md:339-349 SKILL.md:349-403 SKILL.md:403-409 SKILL.md:409-413 SKILL.md:413-421 SPEC.md:45
Audited by: codex View Audit History →
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APA citation
sickn33. (2026). last30days security audit report (audit version 5) [Author version unspecified]. Skillstore. https://skillstore.io/skills/sickn33-last30days/audits/5BibTeX citation
@techreport{sickn33-sickn33-last30days-2026,
author = {sickn33},
title = {last30days security audit report (audit version 5)},
institution = {Skillstore},
year = {2026},
number = {5},
url = {https://skillstore.io/skills/sickn33-last30days/audits/5},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "last30days security audit report (audit version 5)"
version: "unspecified"
type: report
authors:
- name: "sickn33"
date-released: "2026-07-09"
url: "https://skillstore.io/skills/sickn33-last30days/audits/5"
identifiers:
- type: other
value: "skillstore:sickn33-last30days:audit:5"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: Medium 73
Architecture
85
Maintainability
85
Content
69
Community
83
Spec Compliance
What You Can Build
Find current prompting patterns
Research recent examples and community advice before writing prompts for image, music, coding, or writing tools.
Track product sentiment
Compare what Reddit, X, and the web say about a tool, launch, or trend in the last month.
Build recommendation lists
Identify frequently mentioned tools, skills, resources, or products with supporting engagement signals.
Try These Prompts
Basic recent research
/last30days {topic}Prompting for a tool
/last30days {topic} prompts for {target tool}Recommendation scan
/last30days best {tool category or product type}Deep synthesis request
/last30days {topic} for {target tool} --deepBest Practices
- Use exact topic names so searches do not drift into older or related subjects.
- Add API keys only when Reddit or X engagement metrics are important.
- Review raw sources before acting on sensitive, legal, financial, or medical topics.
Avoid
- Do not treat web-only output as equivalent to full Reddit and X coverage.
- Do not reuse old research for a different topic without running a fresh query.
- Do not paste private data into research topics or generated prompts.
Frequently Asked Questions
Does this skill work without API keys?
Yes. It falls back to web search, but Reddit and X engagement metrics are unavailable.
Which services can it search?
It can use Reddit through OpenAI, X through xAI, and the assistant web search tool.
Where does it store output?
It writes reports, context files, and raw responses under the local last30days output directory.
Can it create prompts for non-coding tools?
Yes. Examples include image generation, music generation, product research, and general trend analysis.
How recent are the results?
The pipeline targets the last 30 days and filters dated items when date signals are available.
Is it safe for confidential research?
Use caution. Topics may be sent to external providers when API-backed Reddit or X search is enabled.
Developer Details
Author
sickn33License
MIT
Skillstore revision
r1
Version notice
The author did not declare a version.
Ref
3e4b6c31a74a3bd1a291c98cf585d720cb9fbc88
Maintenance freshness
7/18/2026
Usage
41 downloads · 159 views