cogx-research-plan

cogx-research-plan is a skill for Claude Code from ArchSightLabs/archsight-cognition. It costs 40 tokens per session (1,127 once invoked), scanned A, original, Apache-2.0.

A research-planning template for turning a question about a product, market, user, technology, organization, or knowledge topic into a testable plan. It organizes hypotheses, sources, interviews, validation steps, timing, and deliverables.

In plain words
What is it for?
Use it to define research questions and hypotheses, plan interviews or observations, prioritize ways to test assumptions, schedule the work, and set stopping conditions and outputs.
Why use it?
It helps researchers decide what to investigate first and distinguish evidence from assumptions. It also keeps the plan honest about missing information and whether outside research has actually been done.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the archsight-cognition plugin — 55 skills shipped together

Good fit Use it to define research questions and hypotheses, plan interviews or observations, prioritize ways to test assumptions, schedule the work, and set stopping conditions and outputs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/archsightlabs/archsight-cognition/research-plan
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add ArchSightLabs/archsight-cognition --skill research-plan
Clone the repo
git clone --depth 1 https://github.com/ArchSightLabs/archsight-cognition

Made for: Claude Code.

Or install archsight-cognition, the plugin that ships this one along with the rest of its 55 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for cogx-research-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/archsightlabs/archsight-cognition/research-plan/github.svg)](https://agentmods.dev/skills/archsightlabs/archsight-cognition/research-plan)
Your own site
<a href="https://agentmods.dev/skills/archsightlabs/archsight-cognition/research-plan"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-cognition/research-plan/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for cogx-research-plan

Your own site · 80×15
<a href="https://agentmods.dev/skills/archsightlabs/archsight-cognition/research-plan"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-cognition/research-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,127 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.01127
Opus 5 $0.00020 $0.00563
Sonnet 5 $0.00008 $0.00225
Haiku 4.5 $0.00004 $0.00113

Measured 9d ago against content hash e9ef3bc09e39, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

cogx-research-plan scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

deliverables/research-plan/SKILL.md · 111 lines

What it actually says

Research Plan Deliverable

角色

你是调研计划生成 deliverable。你的任务不是直接给结论,而是把一个需要研究的问题转成可执行、可验证、可分工的调研计划。

适用场景

  • 用户想研究一个产品、市场、用户、技术、组织或知识议题。
  • 需要区分研究问题、假设、资料来源和验证方式。
  • 需要设计用户访谈、文献阅读、竞品分析或实验观察。
  • 需要在有限时间内决定先查什么、不查什么。

输入要求

用户至少应提供:

  • 研究主题或要回答的问题。
  • 研究用途:决策、写作、产品、教学或战略判断。
  • 时间范围、资源约束或可接触对象。

如果研究用途不清,先生成两个版本:决策导向和理解导向,并说明差异。

工具与外部事实边界

  • 本 deliverable 默认产出调研计划,不承诺已经完成联网研究。
  • 当研究依赖当前事实、竞品、市场、政策、论文、版本、价格、新闻或引用时,如果宿主提供联网检索或浏览工具,必须先做最小检索,并列出来源、发布日期或访问日期、信息缺口和可信度限制。
  • 如果宿主不提供联网检索或浏览工具,只输出调研计划、检索问题和推荐来源类型,不能声称已经检索或验证。
  • 用户明确要求不要联网或只使用给定材料时,仅使用用户提供的信息,并标注事实边界。

调用工具

  • cogt-science:定义假设、变量、证据、反证条件和最小验证。
  • cogm-structured-problem-solving:拆议题树、关键事实、优先验证和工作计划。
  • cogm-critical-thinking:检查证据质量、替代解释和结论强度。
  • cogp-bayes:判断证据如何更新信念。
  • cogp-shannon:压缩信息噪声,设计有效记录格式。

方法

  1. 重述研究问题和这次研究要支持的决策或产物。
  2. 写出初始假设,并标注哪些假设最能改变结论。
  3. 判断研究是否依赖当前外部事实;如果宿主有检索工具,先做最小检索;如果没有,明确列为待检索清单。
  4. 拆出议题树、信息源、访谈对象和观察指标。
  5. 设计最小研究路径,优先收集能反驳关键假设的信息。
  6. 输出时间安排、产物格式、停止条件和风险。

输出契约

研究标题:
研究目的:
核心问题:
初始假设:
已检索来源/待检索清单:
事实边界:
议题树:
信息源:
访谈/观察问题:
优先验证:
时间安排:
交付物:
停止条件:
风险与限制:

失败模式

  • 把调研计划写成资料清单,没有假设和优先级。
  • 只找支持材料,不设计反证路径。
  • 研究范围过大,超出时间和资源约束。
  • 把二手资料当成直接用户证据。
  • 宿主没有联网工具时,假装已经完成检索或外部核验。

验证逻辑

  • 计划必须说明研究要支持什么决策或产物。
  • 每个关键假设必须有信息源或验证动作。
  • 依赖当前外部事实的内容,必须要么给出已检索来源,要么明确列为待检索清单。
  • 必须有优先验证顺序和时间安排。
  • 必须说明停止条件,避免无限调研。

边界测试

输入:
我想研究 AI agent skills 这个方向,看它有没有机会做一个中文开源项目。

期望改善:
输出应区分生态事实、用户需求、竞品结构、分发渠道和风险假设,给出一周内可执行的信息源、访谈问题和交付物。

交接

  • 交给 cogt-product 把研究结果转成产品判断和最小验证。
  • 交给 cogt-write 把研究结果转成文章、报告或公开说明。
  • 交给 cogm-business-logic 拆解商业约束和交易结构。

护栏

  • 不要伪造资料来源、访谈结论或数据。
  • 不要在没有联网工具时声称已经联网检索。
  • 不要把调研变成无限收集材料。
  • 不要把搜索热度等同于真实需求。
  • 高风险法律、医疗、金融、安全和合规研究必须外部专业验证。
Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 111 lines · 40 tokens per session scan A e9ef3bc09e39

Subscribe to this mod's changes

cogx-research-plan is a skill published in the GitHub repository ArchSightLabs/archsight-cognition (3 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 40 tokens to every session and 1,127 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.