技能 last30days
📦
last30days
内容修订 r1 高风险 🌐 网络访问📁 文件系统访问🔑 环境变量⚡ 包含脚本⚙️ 外部命令
研究当前社区趋势
快速变化的话题很难仅凭记忆进行研究。此技能会收集近期 Reddit、X 和网页信号，然后将其转化为实用指导。
支持: Claude Codex Code(CC)
安装前请停下并请求确认。
请审查安装计划，并在更改文件前获得用户明确同意。
使用我的智能体安装
将此请求复制给你的智能体，其中包含权威 Skill 页面和清单。
智能体请求
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.你的智能体仍应展示其计划，并按安全策略请求必要确认。
Agent 可读资源
当 AI Agent、爬虫或脚本需要干净上下文，而不是读取完整页面时，请使用这些链接。
测试它
正在使用“last30days”。 /last30days best Claude Code skills
预期结果:
对被提及的技能、市场和资源进行排名摘要，并包含来源类型和互动备注。
正在使用“last30days”。 /last30days iOS app mockups for Nano Banana Pro
预期结果:
综合当前 UI 提示词模式，然后为目标图像工具提供定制的提示词格式。
正在使用“last30days”。 /last30days what are people saying about DeepSeek R1
预期结果:
近期情绪摘要，包含正面主题、顾虑以及最强烈的反复讨论点。
安全审计
高风险v5 • 2026/7/9 打开版本化报告
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
已扫描文件
7,069
分析行数
66
复核项
0
已忽略误报
已确认安全问题 (4)
高
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.
高
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.
高
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.
高
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.
能力复核项 (66)
这些是真实的本地能力，对此技能可能是预期行为，因此需要复核，但不会按已确认恶意行为计分。
高
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.
高
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.
高
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.
高
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.
高
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.
高
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.
高
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.
高
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.
高
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.
高
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.
高
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.
高
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.
高
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.
高
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.
高
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.
高
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.
高
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.
高
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.
高
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.
高
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.
高
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.
高
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.
高
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.
中
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.
中
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.
中
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.
中
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.
中
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.
中
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.
中
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.
中
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.
中
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.
中
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.
中
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.
中
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.
中
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.
低
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.
低
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.
低
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.
低
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.
低
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.
低
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.
低
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.
低
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.
低
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.
低
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.
低
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.
低
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.
低
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.
低
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.
低
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.
低
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.
低
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.
低
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.
低
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.
低
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.
低
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.
低
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.
低
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.
低
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.
低
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.
低
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.
低
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.
低
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.
低
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.
低
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.
风险因素
🌐 网络访问 (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
📁 文件系统访问 (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
🔑 环境变量 (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
⚡ 包含脚本 (1)
⚙️ 外部命令 (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
审计者: codex 查看审计历史 →
分享与引用此报告
分享版本化评估报告、中性徽章、嵌入卡片和引用。Skillstore 只报告证据，不判断该 Skill 是否安全。
复制报告链接
https://skillstore.io/skills/sickn33-last30days/audits/5?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown 徽章
[](https://skillstore.io/skills/sickn33-last30days?utm_source=security_passport_badge)HTML 徽章
<a href="https://skillstore.io/skills/sickn33-last30days?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/sickn33-last30days/security.svg" alt="Skillstore security assessment" loading="lazy"></a>嵌入卡片
<iframe src="https://skillstore.io/embed/skills/sickn33-last30days.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>学术引用 (APA · BibTeX · CFF)
APA 引用
sickn33. (2026). last30days security audit report (audit version 5) [Author version unspecified]. Skillstore. https://skillstore.io/skills/sickn33-last30days/audits/5BibTeX 引用
@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 评分
评分依据 证据置信度: 中 73
架构
85
可维护性
85
内容
69
社区
83
规范符合性
你能构建什么
查找当前提示词模式
在为图像、音乐、编码或写作工具编写提示词之前，研究近期示例和社区建议。
跟踪产品情绪
比较过去一个月中 Reddit、X 和网页上对某个工具、发布或趋势的看法。
构建推荐列表
识别被频繁提及的工具、技能、资源或产品，并提供相应的互动信号支持。
试试这些提示
基础近期研究
/last30days {topic}针对某个工具的提示词
/last30days {topic} prompts for {target tool}推荐扫描
/last30days best {tool category or product type}深度综合请求
/last30days {topic} for {target tool} --deep最佳实践
- 使用准确的主题名称，避免搜索偏向旧主题或相关但不同的主题。
- 仅在 Reddit 或 X 互动指标很重要时添加 API 密钥。
- 在处理敏感、法律、金融或医疗主题之前，先审查原始来源。
避免
- 不要将仅网页输出视为等同于完整的 Reddit 和 X 覆盖。
- 不要在未运行新查询的情况下，将旧研究复用于不同主题。
- 不要将私密数据粘贴到研究主题或生成的提示词中。
常见问题
此技能在没有 API 密钥的情况下能工作吗？
可以。它会回退到网页搜索，但 Reddit 和 X 互动指标不可用。
它可以搜索哪些服务？
它可以通过 OpenAI 使用 Reddit，通过 xAI 使用 X，并使用助手的网页搜索工具。
它将输出存储在哪里？
它会将报告、上下文文件和原始响应写入本地 last30days 输出目录。
它可以为非编码工具创建提示词吗？
可以。示例包括图像生成、音乐生成、产品研究和通用趋势分析。
结果有多新？
该流程面向过去 30 天，并在日期信号可用时筛选带日期的项目。
它适合机密研究吗？
请谨慎使用。当启用由 API 支持的 Reddit 或 X 搜索时，主题可能会被发送给外部提供商。
开发者详情
作者
sickn33许可证
MIT
Skillstore 修订
r1
版本提示
作者未声明版本。
引用
3e4b6c31a74a3bd1a291c98cf585d720cb9fbc88
维护新鲜度
2026/7/18
使用量
41 次下载 · 159 次浏览