deep-research

REVIEW · 68
Registry indexed

Exa-powered deep research producing an evidence-backed findings.md report. Load for research tasks, architectural investigations, and vendor, library, or technology comparisons.

Verified installs0
Stars63
Version1.0.0
Quality65/100 · Promising
Trust68/100 · Sandbox only
Audit79/100 · Needs review

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Agent fit

Claude Code + OpenAI Agents + Cursor

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add vanillagreencom/kendex --skill deep-research

Maintenance

fresh

Pushed today

Risk

Needs review

Quality score needs review

GitHub quality

63

65/100 Quality · 76/100 Trust

Coverage tags

CodingGitHub automationresearchagent-skill

Review notes

Quality score needs review · GitHub adoption: 63 GitHub stars

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Promising
65

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
68

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
79

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

63 GitHub stars

Repo activity

63 stars, 23 forks

Maintenance

Pushed today

License

MIT

Install

npx skills add vanillagreencom/kendex --skill deep-research

Install safety

standard package or runtime install path

Permission surface

shell or command execution, filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Quality score needs review
  • GitHub adoption: 63 GitHub stars
  • Stars/forks activity: 63 stars, 23 forks; issue activity unavailable in current metadata

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Research agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Search sources

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Install decision

Command
npx skills add vanillagreencom/kendex --skill deep-research
Policy
review
Human review
yes

Trust and risk

Trust
68/100
Audit
79/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add vanillagreencom/kendex --skill deep-research

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No major risk signals from current metadata
  • High-risk permission hints: Shell or command execution
  • Quality score needs review

Agent safety v2

47/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Resolve via API

high

Shell or command execution

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

medium

Database access

Skill may inspect schemas, query databases, or work with persistent stores.

  • High-risk permission hints: Shell or command execution
  • Quality score needs review

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install vanillagreencom-deep-research

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use deep-research in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20deep-research%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/vanillagreencom-deep-research/install
Install command: npx skills add vanillagreencom/kendex --skill deep-research
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use deep-research for this task. Review https://www.openagentskill.com/api/skills/vanillagreencom-deep-research/install, then install with: npx skills add vanillagreencom/kendex --skill deep-research

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

65/100

Research agents

Platforms

Claude Code, OpenAI Agents, Cursor

Audit report

Needs review · 79/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for Research agents

Prototype with this skill first; keep a fallback candidate ready.

65
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

Research agents

Trust label

Prototype first

Install path

Command ready

Use when

  • Research agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 65/100 quality profile
  • 2 OpenAgentSkill engagement events

review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one Research agents task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

68
OpenAgentSkill Trust Score

GitHub adoption

CHECK

63 GitHub stars

Stars/forks activity

CHECK

63 stars, 23 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

Pushed today

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Quality score needs review
  • GitHub adoption: 63 GitHub stars
  • Stars/forks activity: 63 stars, 23 forks; issue activity unavailable in current metadata
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

65
GitHub stars
63
Freshness
Today
Install ready
Yes
License
MIT

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

--- name: deep-research description: "Exa-powered deep research producing an evidence-backed findings.md report. Load for research tasks, architectural investigations, and vendor, library, or technology comparisons." license: MIT user-invocable: true argument-hint: "report [query] --output findings.md" dependencies: optional: [decider] metadata: author: vanillagreen source: kendex repository: "https://github.com/vanillagreencom/kendex" bugs: "https://github.com/vanillagreencom/kendex/issues" version: "1.1.0" tags: [research] ---

# Deep Research

> **Problem with this skill?** Run `kendex report` — it files to the owning repo automatically. Do not hand-file.

Evidence-backed research reports: architectural investigations, vendor and library comparisons, technology choices, and workflow-owned `findings.md` reports.

In Pi with the `web_research` tool active, use that tool, passing `outputPath` when creating a report. In every other harness — Pi without it, Claude Code, Codex, OpenCode, Cursor — run `scripts/deep-research` with `EXA_API_KEY` set.

## Rules

- Exa is the research source. Substitute a general web search only when Exa is unavailable and the user approves the fallback. - Write `findings.md` to the path the caller requested, exactly. - Cite sources for material claims, and keep `findings.md` human-readable: provider payloads live in the sidecar JSON (`findings.raw.json` beside the report by default), never inline. Sanitize evidence excerpts so headings from source pages do not render as headings. - Once the report and its sidecar exist, run `validate` and stop. Do not add local reproduction, benchmarks, tests, code inspection, or implementation unless the caller asked for local validation on top of the research. - A missing `EXA_API_KEY` fails with setup instructions. The value may be a key or a 1Password `op://vault/item/field` reference when the `op` CLI is installed and signed in. - One findings format serves every mode: the mode changes depth and source volume, not the required sections. Record mode and source counts in `## Research Metadata`.

## Running

```bash skills/deep-research/scripts/deep-research report "question" --mode standard --output path/to/findings.md skills/deep-research/scripts/deep-research report --query-file prompt.txt --context-glob 'context-*.md' --mode full --output findings.md skills/deep-research/scripts/deep-research json "question" --output raw.json skills/deep-research/scripts/deep-research validate findings.md findings.raw.json skills/deep-research/scripts/deep-research doctor ```

`deep-research help` lists every flag. Exa `/search` caps the settings behind them: `numResults` 1-100, `text.maxCharacters` 1-10000, `additionalQueries` at most 10.

| Mode | Exa type | Results | Text cap | Timeout | Synthesis | |---|---|---:|---:|---:|---| | `lite` | `deep-lite` | 15 | 10k chars/result | 5 min | Not requested — evidence brief only | | `standard` | `deep-reasoning` | 50 | 10k chars/result | 10 min | Requested via `outputSchema` | | `full` | `deep-reasoning` | 100 | 10k chars/result | 30 min | Requested, per query |

`standard` is the default; `lite` suits fast spikes, `full` strategic or high-risk decisions. Explicit `--type`, `--num-results`, and `--text-max-characters` override a mode's defaults.

`--additional-query` (repeatable) reaches Exa as `additionalQueries` within the single request under `lite` and `standard`, and as one request per query with URLs deduped across responses under `full`; the sidecar records which, as `provider-additional-queries` or `local-fan-out`.

`--include-domain` is a hard host filter, not a quality filter: `--include-domain github.com` admits every repo on it and excludes everything else. Name authoritative projects and organizations in the query text when quality is what you want, and audit the returned source list either way.

## Validation

```bash skills/deep-research/scripts/deep-research validate path/to/findings.md path/to/findings.raw.json ```

Prints `{ok, errors, warnings, mode, synthesis, queryCount}` and exits 0 when there are no errors. It checks structure: required sections present, sidecar parses, query-expansion metadata self-consistent, and a synthesized answer present for the modes that requested one.

It cannot judge content. Read for these yourself:

- Claims the cited sources contradict — spot-check material numbers (complexity classes, benchmark results) against the source text in the sidecar. - Off-topic sources that share an acronym or name with the subject. - Recommendations with no claim-level support in Evidence and Sources. - Results generalized past what the source established.

## Findings format

`templates/findings.md` carries exactly the sections `validate` requires, in order. `Key Findings` holds distinct claims, not a restatement of the summary.

Technical details

Version
1.0.0
License
MIT
Last updated
Aug 23, 2026
Published
Aug 23, 2026

Decision snapshot

Fallback candidate

65
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

79
Needs review
Security
83/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for deep-research, ready for a manual X post.

Curator note
deep-research: Exa-powered deep research producing an evidence-backed findings.md report. Load for research...

63 stars

https://www.openagentskill.com/skills/vanillagreencom-deep-research?ref=x
Open X draft
Optional reply with install command
Listing + install path for deep-research:
https://www.openagentskill.com/skills/vanillagreencom-deep-research?ref=x

Install: npx skills add vanillagreencom/kendex --skill deep-research

Listing source

Registry indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Registry indexed listing is attributed to vanillagreencom but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/vanillagreencom-deep-research?metric=listed&label=Listed)](https://www.openagentskill.com/skills/vanillagreencom-deep-research)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/vanillagreencom-deep-research?metric=trust&label=Trust)](https://www.openagentskill.com/skills/vanillagreencom-deep-research)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/vanillagreencom-deep-research?metric=audit&label=Audit)](https://www.openagentskill.com/skills/vanillagreencom-deep-research/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/vanillagreencom-deep-research?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/vanillagreencom-deep-research)

Author

V

vanillagreencom

@vanillagreencom

Health signals

GitHub stars
63
Quality score
36/100
Last GitHub push
Aug 23, 2026
Framework hints
Unknown
OpenAgentSkill views
2
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Sandbox only

68
  • GitHub adoption63 GitHub starsCHECK
  • Stars/forks activity63 stars, 23 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenancePushed todayPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskcommand execution surfaceINFO