cogx-research-brief

cogx-research-brief is a skill for Claude Code from ArchSightLabs/archsight-cognition. It costs 45 tokens per session (1,366 once invoked), scanned A, original, Apache-2.0.

A research summary built from outside sources, such as official documents, papers, project repositories, company announcements, and reliable reporting. It records findings, source links, evidence strength, disagreements, and unknowns.

In plain words
What is it for?
Use it to investigate products, markets, technologies, organisations, open-source projects, or knowledge topics and turn the results into a reviewable brief.
Why use it?
It helps when a decision depends on current facts that may change, such as software versions, prices, policies, competitors, or research. It shows which conclusions are supported and which still need checking.

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 investigate products, markets, technologies, organisations, open-source projects, or knowledge topics and turn the results into a reviewable brief.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/archsightlabs/archsight-cognition/research-brief"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-cognition/research-brief.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,366 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 $0.00045 $0.01366
Opus 5 $0.00023 $0.00683
Sonnet 5 $0.00009 $0.00273
Haiku 4.5 $0.00005 $0.00137

Measured 9d ago against content hash 8847382273b1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

cogx-research-brief 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-brief/SKILL.md · 111 lines

How it starts

The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research Brief Deliverable

角色

你是联网辅助调研简报 deliverable。你的任务不是只生成调研计划,而是在宿主提供检索或浏览工具时先完成最小外部检索,再把来源、发现、证据强度、分歧和后续验证整理成可复核的研究简报。

适用场景

  • 用户需要快速了解一个产品、市场、技术、组织、开源生态或知识议题。
  • 研究问题依赖当前事实、竞品、政策、论文、版本、价格、新闻或引用。
  • 需要把外部资料整理成可供决策、写作、产品判断或战略讨论的简报。
  • 需要明确哪些结论已经有来源支持,哪些仍然只是推断或待验证假设。

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、战略判断或竞品扫描。
  • 时间范围、地域范围、语言范围或来源偏好。

如果研究范围过大,先收窄到一个主要问题和 3 到 5 个子问题;如果用户没有补充,就给出显式范围假设。

工具与外部事实边界

  • 本 deliverable 是 tool-assisted deliverable:当宿主提供联网检索或浏览工具时,必须先检索,再输出简报。
  • 最小检索应覆盖 4 到 8 个高相关来源,优先官方文档、论文、项目仓库、公司公告、权威机构、可靠媒体和可追溯的一手材料。
  • 输出必须列出来源链接、发布日期或访问日期、来源类型、可信度限制和信息缺口。
  • 如果宿主不提供联网检索或浏览工具,不能输出研究结论;只能输出待检索问题、推荐来源类型和降级版调研计划,并建议改用 cogx-research-plan
  • 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

  • cogx-research-plan:当问题仍需先拆成假设、信息源和验证路径时使用。
  • cogt-science:定义假设、证据、反证条件和结论强度。
  • cogm-critical-thinking:检查证据质量、替代解释和推断边界。
  • cogm-structured-problem-solving:拆研究问题、子问题和优先验证路径。
  • cogp-bayes:判断证据如何更新信念,避免把单一来源当成确定结论。
  • cogp-shannon:压缩信息噪声,保留决策需要的信号。

方法

  1. 重述研究问题、用途、范围和成功标准。
  2. 判断必须检索的外部事实类型,并列出检索关键词或来源路径。
  3. 如果宿主有检索或浏览工具,先做最小检索;优先读取一手来源和可追溯材料。
  4. 将来源分为一手材料、官方文档、研究/论文、社区/媒体、市场信号和低可信线索。
  5. 提炼关键发现,并为每条发现标注支持来源、证据强度、反对证据或不确定性。
  6. 输出研究简报、分歧点、待验证清单和下一步行动。

输出契约

研究标题:
研究用途:
范围与时间:
检索过程:
来源清单:
关键发现:
证据强度:
主要分歧:
仍不确定:
对当前问题的含义:
建议下一步:
不应过度解读:

失败模式

  • 没有检索就直接给研究结论。
  • 只列链接,不提炼发现、证据强度和分歧。
  • 把媒体转述、社区观点或搜索热度当成一手证据。
  • 只找支持结论的材料,不寻找反证或替代解释。
  • 引用来源但不说明日期、范围和可信度限制。

验证逻辑

  • 每条关键发现必须能追溯到至少一个来源,或明确标为推断。
  • 必须区分一手事实、二手解释、市场信号和作者判断。
  • 必须说明检索范围、访问日期或发布日期,以及没有覆盖的范围。
  • 必须给出“仍不确定”和“不应过度解读”,避免把快速调研伪装成完整研究。

边界测试

输入:
研究 Agent Skills 生态,判断 ArchSight Cognition 应该优先补脚本、eval、市场分发,还是继续扩充 SKILL.md 内容。

期望改善:
输出应先检索 Agent Skills 标准、Anthropic skills、Fabric、SuperClaude、LangChain DeepAgents 和 marketplace 资料,再区分事实、推断和建议,给出可复核来源和下一步验证。

交接

  • 交给 cogx-decision-memo 把研究发现转成正式决策备忘录。
  • 交给 cogx-strategy-brief 把研究发现压缩为战略方向和最小行动。
  • 交给 cogt-product 把研究发现转成产品定位、目标用户和最小验证。
  • 交给 cogx-research-plan 为未覆盖问题设计后续调研。

护栏

  • 不要在没有联网工具时声称已经完成检索。
  • 不要伪造来源、发布日期、访问日期、数据或引用。
  • 不要把快速调研说成完整竞品审计、系统综述或专业尽调。
  • 不要把单一来源或搜索热度当成真实需求。
  • 高风险法律、医疗、金融、安全和合规研究必须外部专业验证。

Read the full file on GitHub · 111 lines

Files

What ships with it

3 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 · 45 tokens per session scan A 8847382273b1

Subscribe to this mod's changes

cogx-research-brief is a skill published in the GitHub repository ArchSightLabs/archsight-cognition (3 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 45 tokens to every session and 1,366 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.