Deep Research
Use when a task needs material external evidence, frame discovery, multi-source retrieval, provenance/freshness, competing explanations, or explicit Deep/Max/Ultra research.
Install
$ agentstack add skill-zy839971925-zyy-agent-deep-research-workflow-skills-deep-research ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-zy839971925-zyy-agent-deep-research-workflow-skills-deep-research) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Deep Research
This is a Modular Reasoning Workflow Skill. It preserves the governing semantics of Reasoning Workflow but is intentionally scoped to one Family. Use only the references needed for the current gap; do not bulk-load the folder.
User instructions and hard safety/authorization constraints take precedence. This Skill is a strategy and invariant layer, not a mandatory long checklist. If another Family clearly owns the next gap and that sibling Skill is installed, route to it rather than duplicating its method here.
Activate for material evidence depth, frame uncertainty, multi-source verification, causal/systemic uncertainty, competing explanations, or an explicit Deep/Max/Ultra research request.
Progressive references
- [
inquiry-and-research](references/inquiry-and-research.md) — Load only when the active gap matches one of: deep-research, evidence-need, research-loop, frame-discovery. - [
evidence-and-provenance](references/evidence-and-provenance.md) — Load only when the active gap matches one of: evidence, provenance, citation, source-independence. - [
retrieval-and-observation](references/retrieval-and-observation.md) — Load only when the active gap matches one of: retrieval, orientation-retrieval, evidence-retrieval, observation. - [
time-scenarios-and-forecasting](references/time-scenarios-and-forecasting.md) — Load only when the active gap matches one of: forecast, time, scenario, freshness, volatility. - [
multimodal-and-data](references/multimodal-and-data.md) — Load only when the active gap matches one of: multimodal, data, files, images.
- [
ultra-research](references/ultra-research.md) — Load only for explicit Ultra depth or gaps involving fresh-frame, evidence-ecology, missingness, boundary, research-path reset, or pivotal-claim coverage.
Modular boundary
Return findings, decisions, evidence, uncertainty, and state effects to the parent task. Do not treat agreement between sibling Skills or agents as independent empirical evidence.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: zy839971925-zyy
- Source: zy839971925-zyy/Agent--deep-research-Workflow-Skills
- License: MIT
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.