AANA Research Grounding Skill
/install aana-research-grounding
AANA Research Grounding Skill
Use this skill when an OpenClaw-style agent drafts a research answer, literature note, report section, cited summary, evidence brief, or knowledge-base answer that must stay inside known sources.
This is an instruction-only skill. It does not install packages, run commands, write files, call remote services, persist memory, or execute a checker on its own.
Core Principle
Every important claim must stay attached to the evidence that supports it.
The agent should separate:
- what the sources support,
- what the sources do not support,
- what is uncertain,
- what would require more retrieval or human review.
When To Use
Use this skill before producing or publishing:
- cited answers,
- research summaries,
- literature-review notes,
- technical explainers,
- policy or legal-adjacent briefs,
- scientific or medical-adjacent summaries,
- internal knowledge-base answers,
- meeting or document syntheses,
- public claims based on limited source material.
Grounding Loop
- Source list: identify the sources the answer is allowed to use.
- Claim list: list the answer's main factual claims.
- Citation check: verify each claim is supported by an allowed source.
- Boundary check: remove or label any claim based on missing, forbidden, stale, private, or uncertain evidence.
- Uncertainty check: state source limits before confident conclusions when evidence is incomplete.
- Correction: revise, retrieve, ask, defer, or refuse when claims cannot be grounded.
- Final gate: only provide the answer once unsupported claims, invented citations, and missing caveats are resolved.
AANA Constraint Map
- Physical / factual: no invented citations, no fake studies, no unsupported numbers, no impossible facts.
- Human impact: do not create false confidence, especially in health, legal, financial, safety, or public-facing contexts.
- Constructed / task: use only the requested source set, citation style, scope, and output format.
- Feedback integrity: distinguish sourced claims, inference, speculation, and missing evidence.
Citation Rules
- Cite only sources that are actually available in the task context.
- Do not invent titles, authors, URLs, dates, page numbers, quotes, statistics, or benchmark results.
- Do not cite a source for a claim it does not support.
- If source coverage is incomplete, say so.
- If a claim needs retrieval, recommend retrieval instead of guessing.
- If the user asks for a source-bounded answer, do not use outside knowledge unless explicitly allowed.
Source Boundary Rules
Treat these as violations:
- using a forbidden source,
- using private or unrelated user data,
- treating search snippets as full evidence without noting the limit,
- treating one source as broad consensus,
- upgrading a hypothesis into a result,
- presenting outdated information as current,
- preserving a citation while changing the claim beyond what the source supports.
Uncertainty Language
Use clear uncertainty labels:
- "The provided sources support..."
- "The provided sources do not establish..."
- "I cannot verify from the provided evidence..."
- "This is an inference, not a directly sourced claim..."
- "More retrieval is needed before claiming..."
Avoid false certainty:
- "proves"
- "guarantees"
- "all experts agree"
- "studies show" without naming the source
- exact percentages not present in the evidence
Review Payload
When using a configured AANA checker, send only a minimal redacted review payload:
task_summaryallowed_sourcesclaim_summariescitation_summariesunsupported_or_uncertain_claimsrecommended_action
Do not include private records, secrets, paywalled full text, API keys, unrelated user messages, or raw source material when a summary is enough.
Decision Rule
- If every important claim is supported by allowed sources, answer with citations.
- If a claim is unsupported but fixable, revise.
- If evidence is missing, retrieve or ask.
- If the user requires a source-bounded answer and the evidence is insufficient, say what cannot be concluded.
- If the answer would create high-impact false confidence, defer or ask for human review.
- If a checker is unavailable or untrusted, use manual review.
Output Pattern
For source-grounded answers, prefer:
Answer:
- ...
Evidence:
- [Source A] supports ...
- [Source B] supports ...
Limits:
- The provided sources do not show ...
- Uncertainty remains about ...
Keep the answer useful, but never make unsupported confidence look like evidence.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install aana-research-grounding - 安装完成后,直接呼叫该 Skill 的名称或使用
/aana-research-grounding触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
AANA Research Grounding Skill 是什么?
Ensures research answers and reports strictly cite and align with allowed sources, clearly marking unsupported or uncertain claims before publishing. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 71 次。
如何安装 AANA Research Grounding Skill?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install aana-research-grounding」即可一键安装,无需额外配置。
AANA Research Grounding Skill 是免费的吗?
是的,AANA Research Grounding Skill 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
AANA Research Grounding Skill 支持哪些平台?
AANA Research Grounding Skill 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 AANA Research Grounding Skill?
由 mindbomber(@mindbomber)开发并维护,当前版本 v1.0.0。