grounded-research

Produces evidence-backed research syntheses with source ranking, freshness checks, and citation discipline.

Updated May 22, 2026
One-click install
npx skills add https://github.com/handaeho/Harness_Engineering --skill grounded-research-handaeho
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: grounded-research
Source: https://github.com/handaeho/Harness_Engineering/tree/main/prompt-stack/_candidates/v36_candidate/codex/skills/grounded-research
Command: npx skills add https://github.com/handaeho/Harness_Engineering --skill grounded-research-handaeho

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Research answers often overstate what the evidence supports, hide source conflicts, or rely on stale information. This Skill enforces a disciplined retrieval-to-synthesis workflow so answers stay grounded in verifiable sources with explicit limitations. ## Core Features & Use Cases - Evidence-Target Discipline: Defines exactly what claim needs support before retrieving, then slices evidence aggressively to keep only load-bearing passages. - Source Ranking & Conflict Handling: Ranks sources by authority, freshness, and scope fit, and surfaces unresolved conflicts instead of silently averaging incompatible facts. - Bounded Deep Research: Runs multi-round research loops with explicit stop conditions, plan approval checkpoints, and research control packets for handoff-sensitive work. - Use Case: Ask for a comparison of current API features across vendors; the Skill retrieves official documentation first, checks freshness, cites load-bearing claims, and flags anything that remains unverified. ## Quick Start Use the grounded-research skill to investigate the latest official documentation on this API change and produce an evidence-backed summary with citations and stated limitations.

Frequently Asked Questions about grounded-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get evidence-backed answers with citations from an AI agent?

Use a grounded research workflow that defines the evidence target first, retrieves from ranked authoritative sources, and cites only load-bearing claims. This Skill enforces that sequence and surfaces any remaining unsupported points explicitly.

How to handle conflicting sources in research synthesis?

Rank conflicting sources by authority, freshness, and scope fit, then resolve cleanly when possible. When conflict cannot be safely resolved, preserve it in the output and weaken the claim strength rather than silently averaging incompatible facts.

What sources are prioritized for current programming or API questions?

Official model-vendor docs, official developer-platform docs, authoritative security guidance such as OWASP or CISA, and standards bodies come first. Blogs and community threads are secondary unless confirmed by stronger sources.

When should I not use a grounded research workflow?

Skip it for self-contained local tasks, direct coding help, or trivial questions already supported by active context. Retrieval adds latency and noise without trust gain when the answer does not depend on external documents or freshness.

How does the skill prevent endless searching during deep research?

It uses bounded exploration with a small candidate frontier, explicit stop conditions, and maximum retrieval rounds. When repeated searches stop improving evidence coverage or conflict resolution, it stops, narrows scope, or surfaces a limitation.