Agent skill

Research Ops

by affaan-m in affaan-m/ECC

以证据为先的ECC当前状态研究工作流程。当用户希望基于当前公开证据和提供的本地上下文获取最新事实、比较、丰富信息或建议时使用。

MITAuto-check passed

Install Research Ops

skills CLI
$ npx skills add affaan-m/ECC --skill research-ops -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install affaan-m/ECC research-ops --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .claude/skills && cp -r skills-src/docs/zh-CN/skills/research-ops .claude/skills/research-ops && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
research-ops
GitHub stars
276k
Token cost
~365 tokens
SKILL.md length
76 words
Files
1
Skills in repo
683
Repo updated
First seen
Licence
MIT

At a glance

以证据为先的ECC当前状态研究工作流程。当用户希望基于当前公开证据和提供的本地上下文获取最新事实、比较、丰富信息或建议时使用。

  • Works in 5 steps: 从用户已提供的信息出发 → 对请求进行分类 → 优先采用最轻量的有效证据路径 → …
  • SKILL.md covers 技能栈, 使用时机, 防护措施 and 工作流, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Research Ops is an agent skill from affaan-m/ECC. 以证据为先的ECC当前状态研究工作流程。当用户希望基于当前公开证据和提供的本地上下文获取最新事实、比较、丰富信息或建议时使用。

Its SKILL.md is about 370 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with Exa. The repository describes itself as: The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond. The licence is MIT.

Example prompts

  • “/research-ops”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. 从用户已提供的信息出发
  2. 对请求进行分类
  3. 优先采用最轻量的有效证据路径
  4. 报告时明确证据边界
  5. 决定任务是否应保持手动

What it can do on your machine

Read from SKILL.md and the folder at commit 4eb71d9. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Research Ops loads about 365 tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 76 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~19
When it runs · the whole SKILL.md, loaded when a task matches
~365

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from affaan-m/ECC at commit 4eb71d9, republished under its MIT licence (© affaan-m). 76 words, ~365 tokens.

Download SKILL.mdSave it as .claude/skills/research-ops/SKILL.md (or your agent's skills folder).
name
research-ops
description
以证据为先的ECC当前状态研究工作流程。当用户希望基于当前公开证据和提供的本地上下文获取最新事实、比较、丰富信息或建议时使用。
origin
ECC

研究运营

当用户要求研究当前信息、比较选项、丰富人员或公司信息,或将重复查询转化为可监控的工作流时,使用此功能。

这是仓库研究栈的操作封装。它并非 deep-research、exa-search 或 market-research 的替代品;而是指示何时以及如何将它们结合使用。

技能栈

在相关场景下,将这些 ECC 原生技能纳入工作流:

  • exa-search:用于快速发现当前网络信息
  • deep-research:用于多源综合并附带引用
  • market-research:当最终结果应为建议或排序决策时使用
  • lead-intelligence:当任务针对人员/公司而非通用研究时使用
  • knowledge-ops:当结果需持久存储于后续上下文时使用

使用时机

  • 用户提及“研究”、“查找”、“比较”、“我应该联系谁”或“最新情况”
  • 答案依赖于当前的公开信息
  • 用户已提供证据,并希望将其纳入新的建议中
  • 任务可能具有重复性,应转为监控而非一次性查询

防护措施

  • 当新鲜搜索成本低廉时,不要依赖过时记忆回答当前问题
  • 区分:
    • 有来源的事实
    • 用户提供的证据
    • 推断
    • 建议
  • 如果答案已存在于本地代码或文档中,不要启动繁重的研究流程

工作流

1. 从用户已提供的信息出发

将任何提供的材料规范化为:

  • 已有证据的事实
  • 需要验证的内容
  • 未解决的问题

如果用户已构建部分模型,不要从零开始重新分析。

2. 对请求进行分类

在搜索前选择正确的路径:

  • 快速事实性回答
  • 比较或决策备忘录
  • 线索/丰富化处理
  • 重复监控候选
3. 优先采用最轻量的有效证据路径
  • 使用 exa-search 进行快速发现
  • 当需要综合或多源信息时,升级至 deep-research
  • 当结果需以建议形式呈现时,使用 market-research
  • 当实际需求是目标排序或温暖路径发现时,转交至 lead-intelligence
4. 报告时明确证据边界

对于重要声明,说明其属于:

  • 有来源的事实
  • 用户提供的上下文
  • 推断
  • 建议

对时效性敏感的答案应包含具体日期。

5. 决定任务是否应保持手动

如果用户可能反复提出相同的研究问题,请明确说明,并建议采用监控或工作流层,而非永远重复相同的手动搜索。

输出格式

text
问题类型
- 事实性 / 比较性 / 补充性 / 监控性

证据
- 有来源的事实
- 用户提供的上下文

推论
- 从证据中得出的结论

建议
- 答案或下一步行动
- 是否应将其设为监控项

常见陷阱

  • 不要将推断混入有来源的事实而不加标注
  • 不要忽略用户提供的证据
  • 不要对本地仓库上下文能回答的问题使用繁重的研究路径
  • 不要给出不含日期的时效性敏感答案

验证

  • 重要声明需标注证据类型
  • 时效性敏感的输出需包含日期
  • 最终建议需与实际使用的研究模式匹配

© affaan-m, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in docs/zh-CN/skills/research-ops of affaan-m/ECC.

Open the folder on GitHubat commit 4eb71d9

Compare with similar skills

Research Ops next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Research Ops compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Research Ops this skillaffaan-m/ECC276k—~365Automated safety check: PassMIT
Web SearchEXboys/skilllite1702 repos~1kAutomated safety check: PassMIT
Deep Science WriterCYC2002tommy/Deep-Research-Agent311—~8.7kAutomated safety check: WarnMIT
Exa SearchBioTender-max/awesome-bio-agent-skills200—~1.2kAutomated safety check: NotesMIT
Exa Searchmxyhi/ok-skills494—~1.6kAutomated safety check: PassApache-2.0
Web Research Search Tipsmalob/nix-config463—~2.4kAutomated safety check: PassMIT

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Works with

Questions about Research Ops

What does Research Ops do?

以证据为先的ECC当前状态研究工作流程。当用户希望基于当前公开证据和提供的本地上下文获取最新事实、比较、丰富信息或建议时使用。. Research Ops is an agent skill from affaan-m/ECC.

How do I install Research Ops in Claude Code?

Run `npx skills add affaan-m/ECC --skill research-ops -a claude-code`. Or copy the skill folder (docs/zh-CN/skills/research-ops in affaan-m/ECC) into .claude/skills/research-ops in your project. Claude Code loads it when a task matches its description.

How do I install Research Ops in Codex?

Run `npx skills add affaan-m/ECC --skill research-ops -a codex`. Or copy the skill folder (docs/zh-CN/skills/research-ops in affaan-m/ECC) into .agents/skills/research-ops in your project. Codex loads it when a task matches its description.

Can I use Research Ops in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add affaan-m/ECC --skill research-ops -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/research-ops, .gemini/skills/research-ops, .github/skills/research-ops and .opencode/skills/research-ops in your project.

What does Research Ops need to run?

SKILL.md names no scripts, command-line tools or credentials: Research Ops is instructions for the agent only.

Does Research Ops access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Research Ops safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Research Ops use?

Research Ops is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Research Ops use?

About 365 tokens (SKILL.md is roughly 1.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Research Ops?

Skills that share tags, products or a category with Research Ops: Web Search (EXboys/skilllite, 170 stars), Deep Science Writer (CYC2002tommy/Deep-Research-Agent, 311 stars), Exa Search (BioTender-max/awesome-bio-agent-skills, 200 stars) and Exa Search (mxyhi/ok-skills, 494 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Research Ops?

affaan-m (a GitHub user) maintains it in affaan-m/ECC, which has 276,111 GitHub stars. The repository holds 683 skills in this directory. The repository was last updated on October 10, 2026.

Source: affaan-m/ECC on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.