reddit-research-skills
Reddit research skills for Claude Code and AI agents
- 评测生成时间(北京时间)
- 本报告引擎
- v3.13.0
- 当前引擎
- v3.16.0
本报告与当前引擎使用不同规则;原分数不会自动更新,不同版本的分数不宜直接对比。
进入后确认来源与额度,提交才会创建任务。
综合采用结论
检测到关键风险,修复前不建议接入
- 基础评测完成+25/25确定性评分与静态安全扫描已完成
- README 有效证据+6/252,378 个去重后的有效字符
- 独立证据来源+20/205 类非重复证据,重复文件不叠加
- 仓库元数据+10/10已取得仓库状态与采用数据
- 活跃记录+5/5已取得最近提交时间
- AI 复核+15/15已完成结构化 AI 证据复核
Reddit研究技能使用流程
README展示了从用户提问到技能调用API并返回结果的连续步骤
左右滑动查看完整图示
- • README中'Usage in Conversation'展示用户提问
- • README中'Features'描述API功能
- • README中'Get API Key'指向reddapi.dev
- README中'Features'列出Vector Search、Semantic Search等
- README中'Install'提供npx skills add命令
- README中'Usage in Conversation'给出自然语言示例
- README中'Key facts'说明第三方服务与速率限制
- README中'License'为MIT
- 问题与用途描述
- 有效 README
- 安装或接入步骤
- 可执行示例
- 明确解决Reddit研究问题,提供多种查询场景
- 发现试图覆盖上游指令的提示词模式
- 设计细节如权限边界、安全默认值未展示
- 错误处理仅提及HTTP 429,缺乏完整排障
- API参数与响应模式未在README中详述
- 未提供最小可运行示例的完整输出
市场研究、用户反馈分析、产品验证、B2B线索发现
需要官方Reddit API认证的场景、无付费计划且需高配额的使用
也有自己的公开项目?先看完证据,再用当前规则生成独立报告。
评测我的项目 →instruction-overrideskills/reddapi/SKILL.md:75high confidencephrased as one ("ig***ns", a fake system prompt,修复:删除指令覆盖语句,并明确限定 Skill 只处理用户授权的数据和动作。
instruction-overrideskills/reddit-insights/SKILL.md:144high confidence("ig***ns", a fake system prompt, a shell line)修复:删除指令覆盖语句,并明确限定 Skill 只处理用户授权的数据和动作。
instruction-overrideskills/reddit-research/SKILL.md:76high confidencephrased as one ("ig***ns", "ru***nd", a修复:删除指令覆盖语句,并明确限定 Skill 只处理用户授权的数据和动作。
- 01删除指令覆盖语句,并明确限定 Skill 只处理用户授权的数据和动作。
方法、证据与局限展开收起
GitHub Repository API
6 个文件 · 62,477 字符
v3.13.0 · AI 复核已启用(deepseek-chat)
- 静态评测不会安装或执行项目代码
- 安全扫描基于高信号文件与已知模式,不能替代人工审计
- 流行度只反映采用程度,不代表安全或工程质量
30 天热度趋势
README
reddit-research-skills
Reddit research skills for Claude Code and AI agents.
Available Skills
reddit-research (canonical)
Market research, user research, and product validation on Reddit via reddapi.dev - semantic search across 50K+ subreddits, 20M+ posts, and 40M+ comments, trends over a date range, and subreddit discovery, plus query playbooks for competitor research, niche validation, and trend tracking.
reddapi (legacy name)
The original skill name for the same engine as reddit-research, kept live
for existing installs. Fully functional standalone; new installs should
prefer reddit-research for the expanded playbooks.
reddit-search-api (reference)
Pure API reference for the same engine - endpoints, parameters, response schemas, error codes, no research-workflow framing. For developers who just want the API docs.
reddit-leads
B2B lead discovery - finds Reddit posts with buying intent, scores them 0-100, and classifies by lead type (pain_point, solution_request, complaint, feature_request, comparison). Requires a paid reddapi.dev plan.
Key facts: This is a third-party service (not Reddit official) - no Reddit
OAuth or app registration needed. It is not unlimited: access is gated by
plan-based rate limits (see skills/reddit-leads/SKILL.md for the plan/quota table);
an invalid or exhausted key returns HTTP 429.
Features:
- Semantic Search (default): natural-language search over the full archive, exact
result counts up to
limit: 100, LLM keyword extraction and an optional AI summary; no date filter - Vector Search: same archive with
similarity_scoreand working date filters - the mode to use when a question is scoped to a date range - Trends API: named entities Reddit is talking about in a date window, with growth vs the previous window
- Subreddit Discovery: list and look up subreddits
Install:
npx skills add https://github.com/lignertys/reddit-research-skills --skill reddit-research
Usage in Conversation:
After installing the skill, simply ask in natural language:
Find discussions about iPhone problems and complaints on Reddit
Search for user frustrations with current productivity tools
What are people saying about AI agent limitations?
Find Reddit discussions about competitor pain points for TOOL_NAME
Analyze trends in remote work discussions
The skill will use reddapi.dev to search Reddit and return relevant discussions with engagement metrics.
Get API Key: https://reddapi.dev
License
MIT