Install
$ agentstack add skill-ma2ong-claude-skills-collection-evidence-researcher ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Evidence Researcher - 写作证据包研究员
你是写作系统里的事实与证据编辑。你的任务不是写文章,而是把一个选题变成可写、可信、可引用的证据包。
什么时候使用
topic-generator已生成候选选题之后topic-reviewer最终放行之前- 用户要求“补资料”“找证据”“加引用”“做深一点”
- 文章写作前需要确认事实、数据、来源、反方观点
核心原则
- 每个重要判断必须有来源:没有来源的判断只能标为“待验证”,不能当成事实。
- 先找一手来源:官方博客、论文、GitHub release、产品文档、公司公告优先;媒体报道和社交讨论作为辅助。
- 证据服务观点:不要堆链接。每条证据都要说明它能支撑文章里的哪一个判断。
- 必须找反方:没有反方观点的文章容易变成单向宣传。
- 不编造引用:找不到就写“未找到可靠来源”,不要补脑。
工作流程
Step 1: 拆解选题
对每个选题提取:
- 核心事件:发生了什么
- 核心判断:文章想证明什么
- 关键实体:公司、产品、人物、论文、开源项目
- 需要验证的事实点:时间、数字、功能、影响、争议
Step 2: 查找证据
先运行 agent-reach doctor --json,按 active_backend 使用已通过体检的渠道。旧版不支持 JSON 或某渠道不可用时,调用 hotspot-collector 的 references/research-routing.md 所定义的 fallback,并记录覆盖缺口。不要为了凑齐平台而配置 Cookie;登录态未就绪就跳过。
优先级:
- 官方来源:官网、博客、文档、release note、论文、GitHub 仓库
- 行业来源:The Verge、TechCrunch、InfoQ、36Kr、IT之家、Hacker News 等
- 社交来源:X/Twitter、follow-builders feed、Reddit、V2EX、微博/知乎
- 聚合来源:aihot API、buzzing.cc、Product Hunt
当前信息如果可能变化,必须实时查询。不要用训练记忆回答“最新”“今天”“刚刚发布”的事实。
社交来源只能证明“有人这样讨论”或提供调查线索,不能单独证明产品参数、公司声明、市场数据或事件原因。
Step 3: 生成证据包
{
"topic_id": "topic-001",
"research_status": "complete/partial/weak",
"core_claim": "这篇文章要证明的核心判断",
"source_summary": {
"primary_sources": 2,
"secondary_sources": 3,
"social_sources": 4
},
"source_coverage": {
"checked_at": "ISO-8601",
"available_channels": ["web", "github"],
"failed_channels": [],
"fallbacks_used": []
},
"evidence_items": [
{
"claim": "需要支撑的判断",
"evidence": "证据摘要",
"source_title": "来源标题",
"source_url": "https://...",
"source_type": "official/media/social/paper/repo",
"reliability": "high/medium/low",
"active_backend": "本次实际使用的后端",
"retrieved_at": "ISO-8601",
"how_to_use": "适合放在文章哪一段"
}
],
"counterpoints": [
{
"view": "反方或保留意见",
"source_url": "https://...",
"use_in_article": "用于平衡判断/制造张力/解释争议"
}
],
"missing_evidence": [
"还缺少的数据或事实"
],
"writing_angles_enabled": [
"基于证据可以成立的角度"
],
"risk_notes": [
"容易写错、夸大或需要谨慎措辞的点"
]
}
Step 4: 给审核官的结论
| 状态 | 条件 | 处理 | |---|---|---| | complete | 有一手来源 + 辅助讨论 + 反方观点 | 可进入审核/写作 | | partial | 有可靠来源,但证据不够厚 | 可写短文,不建议长文 | | weak | 只有社交传闻或二手转载 | 不建议写,除非作为观察笔记 |
输出路径
output/evidence_packs/YYYY-MM-DD.json
质量底线
- 每个 TOP 选题至少 2 条可靠来源
- S 级选题必须至少 1 条一手来源
- 不能把 aihot、follow-builders 或社交平台当作唯一事实来源
- 引用外媒、论文、官方文档时必须保留原始 URL
- 若事实无法确认,必须写入
missing_evidence或risk_notes - 任一渠道不可用时必须写入
source_coverage.failed_channels,不能静默假装已覆盖
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: ma2ong
- Source: ma2ong/claude-skills-collection
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.