deep-research
Deep research harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report.
Skill by ek33450505
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/ek33450505-deep-research
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: documents, research, finance
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Node.js package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/deep-research
What's inside
- Skill name
deep-research- Description
- Deep research harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report. When the user wants a deep, multi-source, fact-checked research report on any topic. BEFORE invoking, check if the question is specific enough to research directly — if underspecified (e.g., "what car to buy" without budget/use-case/region), ask 2-3 clarifying questions to narrow scope. Then pass the refined question as args, weaving the answers in.
- License
- MIT
- Instructions
- 77 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Agent Skills spec issues
- allowed-tools: must be a space-separated string
Files (3)
- SKILL.md
- deep-research.verify.cjs
- deep-research.workflow.js
SKILL.md (first lines)
# Deep Research Skill
A multi-agent research harness: it decomposes a question into search angles, fans out
parallel web searches, fetches and extracts falsifiable claims from sources, **adversarially
verifies** every claim with a 3-vote skeptic panel, and synthesizes a cited report.
The workflow lives in [`deep-research.workflow.js`](deep-research.workflow.js) next to this
file. It is the **single source of truth** for the harness — edit it there, then (if you keep
a repo copy) run `bash install.sh` to redeploy.
## Usage
```
/deep-research <your research question>
```
## How to run it
1. **Scope-check first.** If the question is underspecified (missing budget, region, use-case,
timeframe, etc.), ask the user **2-3 clarifying questions** before running. Then fold the
answers into a single refined question string.
2. **Invoke the workflow** via the Workflow tool, pointing `scriptPath` at the workflow file in
this skill's directory and passing the refined question as `args`:
```
Workflow({
scriptPath: "~/.claude/skills/deep-research/deep-research.workflow.js", // expand ~ to $HOME
args: "<the refined research question>"
})
```
Pass the question as a plain string in `args` (not JSON-encoded). The workflow reads it via the
global `args`. This skill's instruction to call Workflow is itself the explicit opt-in for
multi-agent orchestration.
3. **Relay the result.** The workflow returns `{ summary, findings, refuted, unverified, sources,
stats }`. Present the summary and findings with their sources; surface `unverified` claims
clearly tagged as **unverified** (verification couldn't render a verdict — NOT refuted), and
keep `refuted` claims in a transparency section.
## Output contract (important)
The harness reports **three** claim outcomes, never two:
- **confirmed** — a quorum of valid votes, fewer than 2 refuting.
- **refuted** — a quorum of valid votes with ≥2 actually voting to refute.
- **unverified** — too few valid verdicts to adjudicate (agent/tooling failure or abstentions).
These are returned with their sources and an explicit "unverified" tag. **Never present an
unverified claim as confirmed, and never report it as refuted.** A run where verification
couldn't execute returns the extracted claims marked unverified — it does **not** collapse to an
empty findings list with a "refuted" headline.
`stats.fallbacksFired` / `stats.fallbackRecovered` show how often a low-fan-out subagent (scope/
search/fetch/synthesize) failed to emit structured output and the free-text→structure fallback
recovered it. A high `unverified` count with `confirmed: 0` means verification couldn't run (usually
server load) — say so plainly when relaying results; do **not** dress it up as a finding.
## Design notes
- **Cost scales with the question, dialed back for load (2026-06-08).** Default fan-out: 5 angles,
≤10 fetched sources, top-12 claims × 3 verifier votes (~50–65 subagent calls). Verify is the
heaviest phase, so it runs in **sequential batches** (`VERIFY_BATCH` claims each, direct call) to
pace requests under the server's transient rate limiter — each batch fully drains before the next.
- **Resilience, by phase:**
- *Verify* uses a **direct** structured call with **no** fallback amplification. A live post-mortem
(run wf_2b84c096) showed the free-text→structure fallback only multiplied load under rate-limiting
(75 votes → 225 agents, 0 recovered). A failed/rate-limited vote → abstain → the claim is
**unverified** (never refuted) — honest degradation, not a fabricated verdict.
- *Scope / Search / Fetch / Synthesize* (low fan-out) keep `structuredWithFallback()`: if a subagent
does its web work then ends without StructuredOutput, the work is re-run as a free-text pass and a
structure-only agent renders it — so one hiccup doesn't drop a good source.
- **Honest failure is the contract.** When the service is busy the harness returns *unverified* claims
and says so; it does not fabricate confirmations or refutations. See the two 2026-06-08 post-mortem
notes in the workflow header.From ek33450505/claude-agent-team, MIT.
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Signals
- Stars
- 8
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Oct 14, 2026 (14 days ago)
- Last release
- Oct 16, 2026 (13 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/ek33450505/claude-agent-team
- Website
- castframework.dev
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
deep-research skill. Agent Mart. https://agentmart.dev/skills/ek33450505-deep-research (last updated 2026-10-24)