deep-research ยท diff
git:20260924.600ac2d to git:20260925.6bae23c
67 added, 13 removed. Audit A to A.
---
name: deep-research
- description: Deep research in Claude Code with hyperresearch. Use when the user asks for deep research, a research report, a literature review, or a multi-source analysis with verified citations. Checks that the hyperresearch CLI is installed, sets it up in the current project, then hands off to the /hyperresearch pipeline (a tier-adaptive 16-step pipeline with a persistent source vault). Not for quick lookups one or two searches can answer.
+ description: Deep research with hyperresearch, for Claude Code and OpenAI Codex. Use when the user asks for deep research, a research report, a literature review, or a multi-source analysis with verified citations. Checks that the hyperresearch CLI is installed, sets it up in the current project for the agent you are running in, then hands off to the hyperresearch pipeline (a tier-adaptive 16-step pipeline with a persistent source vault). Not for quick lookups one or two searches can answer.
+ license: MIT
+ compatibility: Requires Python 3.11+ and the hyperresearch CLI (pip install hyperresearch), plus network access for fetching sources. Works in Claude Code and OpenAI Codex CLI; under Codex the session needs a writable workspace with network enabled.
---
# Deep research with hyperresearch
- This skill is a bootstrap. The research pipeline itself is the `hyperresearch`
- skill plus 16 step skills and a set of subagents, which the `hyperresearch`
- Python package renders and installs into the project's `.claude/` directory.
- This file does not contain the pipeline. Do not try to run the research from
- here.
+ This skill is a bootstrap. The research pipeline itself is an entry skill plus
+ 16 step procedures and a set of subagents, which the `hyperresearch` Python
+ package renders and installs into the project. This file does not contain the
+ pipeline. Do not try to run the research from here, and do not answer the
+ research question from your own knowledge: the pipeline is the deliverable.
## 1. Check the CLI
Run:
```bash
hyperresearch --version
```
If the command is not found, stop and tell the user:
> hyperresearch is not installed. Install it with `pip install hyperresearch`
> (Python 3.11 to 3.14), then ask again.
You may run `pip install hyperresearch` yourself only if the user says to.
- ## 2. Install into this project
+ ## 2. Pick your branch
+ You know which agent you are. Follow exactly one branch.
+
+ - **Claude Code** (you have `Skill` and `Task` tools): section 3A.
+ - **OpenAI Codex** (you edit files with `apply_patch`, spawn custom agents,
+ and skills are invoked as `$name`): section 3B.
+
+ If you genuinely cannot tell, look at the working directory: a `.codex/` or
+ `.agents/` directory and no `.claude/` means Codex; the reverse means Claude
+ Code. Still unsure: ask the user which one they are using.
+
+ ## 3A. Claude Code
+
If `.claude/skills/hyperresearch/SKILL.md` does not exist in the working
directory, run:
```bash
hyperresearch install . --json
```
This creates the vault (`.hyperresearch/`, `research/`), adds a short block to
`CLAUDE.md`, and installs the entry skill, the 16 step skills, the subagents
and a PreToolUse hook under `.claude/`. It is safe to re-run; it no-ops on
- files that are already current.
-
- Tell the user in one line what was installed.
-
- ## 3. Hand off
+ files that are already current. Tell the user in one line what was installed.
- Invoke the installed router with the user's research request, verbatim:
+ Then invoke the installed router with the user's research request, verbatim:
```
Skill(skill: "hyperresearch", args: "<the user's research request>")
```
From then on, follow the `hyperresearch` skill. It owns the query, the tier
choice, and every step.
If the `hyperresearch` skill is not available yet (Claude Code loads new
subagents at session start, and some versions do the same for skills), tell
the user that setup is done and ask them to restart Claude Code in this
directory and run:
```
/hyperresearch <their research request>
```
+
+ ## 3B. OpenAI Codex
+
+ If `.agents/skills/hyperresearch/SKILL.md` does not exist in the working
+ directory, run:
+
+ ```bash
+ hyperresearch install . --target codex --json
+ ```
+
+ This creates the vault (`.hyperresearch/`, `research/`), adds a short block to
+ `AGENTS.md`, and installs the entry skill at `.agents/skills/hyperresearch/`,
+ the step procedures under `.hyperresearch/codex/steps/`, the custom agents
+ under `.codex/agents/`, and a Stop hook in `.codex/hooks.json`. It is safe to
+ re-run. Tell the user in one line what was installed.
+
+ If the install (or any later `hyperresearch fetch`) fails with a permission or
+ network error, the session is sandboxed read-only or offline. Stop and tell
+ the user to restart Codex with a writable workspace and network access, for
+ example:
+
+ ```bash
+ codex --sandbox workspace-write -c sandbox_workspace_write.network_access=true
+ ```
+
+ Then hand off. Codex discovers skills when a session starts, so a skill
+ installed a moment ago may not be listed yet. The robust path is to read the
+ entry skill directly and follow it:
+
+ 1. Read `.agents/skills/hyperresearch/SKILL.md` in full (for example
+ `cat .agents/skills/hyperresearch/SKILL.md`).
+ 2. Follow it with the user's research request, verbatim, as the query. It is
+ the same procedure `$hyperresearch <request>` would load. It owns the
+ query, the tier choice, and every step, and each step tells you which
+ procedure file under `.hyperresearch/codex/steps/` to read next.
+
+ If `$hyperresearch` already appears in your skill list, invoking it with the
+ request is equivalent. In later sessions the user can start a run directly
+ with `$hyperresearch <question>`.
+
+ Two things differ from Claude Code, and the entry skill covers both: there is
+ no browser lane (blocked fetches stay queued and are listed for the user at
+ the end), and the Stop hook, once Codex trusts the project's hooks, will not
+ let the session finish while a run is mid-pipeline.