Ross ROSS = Recommend OSS · open-source software intelligence for agents

Weizhena/Deep-Research-skills

Structured deep research skill for Claude Code/Open Code/Codex with human-in-the-loop control observed · 2026-08-28

github.com/Weizhena/Deep-Research-skills · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

60/100

  • Activity 99
  • Release rhythm 35
  • Longevity 17

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 247
  • days_rel: n/a
  • days_push: 10
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2028 stars · 169 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A structured deep research skill (prompt/workflow package) for Claude Code, OpenCode, and Codex that runs a two-phase research process: outline generation followed by deep investigation with web search agents. It emphasizes human-in-the-loop control so users can review and steer each research stage.

Use cases

  • run deep research reports inside claude code
  • literature survey and paper review automation
  • compare frameworks and tools for technology selection
  • competitor and market trend analysis
  • due diligence research on companies
  • structured multi-step research with human approval checkpoints

When to choose

  • you already use Claude Code, OpenCode, or Codex and want a repeatable research workflow
  • you want human-in-the-loop control over each research phase
  • you need both English and Chinese research skill variants

When to avoid

  • you want a standalone research app rather than a coding-agent skill
  • your agent setup cannot enable web search (e.g., OPENCODE_ENABLE_EXA)
  • you need a hosted or GUI research tool

Facets

plugin · maturity active

agent-framework rag prompt-engineering web-scraping llm-inference artificial-intelligence large-language-models developer-tools cli python cross-platform claude-code-skills opencode codex deep-research human-in-the-loop research-workflow skills ai-agents research

1 source

Member repositories

RepositoryRoleHealth v2
Weizhena/Deep-Research-skillsmain60

For agents

markdown · JSON · MCP: product_card(name="Weizhena/Deep-Research-skills")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem