skillZs
★ LIVE SKILL TAGS ★
>>> LIVE SKILLS INDEX <<<
* OPEN SOURCE *
NO LOGIN, NO TRACKING
※ REAL INSTALL DATA ※
← back to all skills
levi-qiao/longgraph-skill153 installs

loop-research

Use only when the user explicitly invokes /loop-research or names this skill. Authors a loop-research run. Do not use unless named. Do not execute or resume generated runtime node files.

How do I install this agent skill?

npx skills add https://github.com/levi-qiao/longgraph-skill --skill loop-research
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The skill 'loop-research' is an authoring tool designed to structure technical research and selection processes. It follows a defined template to generate evidence-backed reports and decision records based on workspace data. The skill includes built-in safeguards such as supervisor audits, explicit data handling policies, and method guards to ensure reproducible results. No malicious patterns or security vulnerabilities were detected.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

What does this agent skill do?

loop-research — a loop-graph preset for evidence-led choices

A thin authoring entry. It binds a research-and-selection pack, starts the owner interview, then follows loop-graph to compile the normal executor, ledger, directives, ops, and supervisor artifacts. It is not a research node, a second runtime, or a second template set.

Fit check

  • Use this when the approach is undecided and a decision needs comparative evidence from open-source projects, primary research, and a controlled benchmark or A/B experiment.
  • Use ../loop-deliver/SKILL.md once the approach is chosen, or ../loop-converge/SKILL.md for code consolidation.
  • For a short answer, one source lookup, or non-comparative literature summary, use the host's ordinary research task instead of a graph.

On invoke

  1. Inspect the workspace, existing evidence, experiment harnesses, data policy, and current host the same way loop-graph does. Never ask which client this is when context already identifies it.
  2. Read and bind preset.md. That pack is the North Star, supervisor requirement, interview, evidence shape, method guards, knob overrides, and artifact emphasis. Do not redesign them.
  3. Start the owner interview immediately. Ask only the pack's unresolved choices — decision/scope, evidence budget and data authority, and launch — as recommended A/B (or A/B/C) choices. Do not ask the owner to invent evaluation criteria.
  4. Read and follow ../loop-graph/SKILL.md from When called from a preset skill through generate and deliver. Compile only from loop-graph's templates/. This skill never executes the generated nodes.

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/levi-qiao/longgraph-skill/loop-research">View loop-research on skillZs</a>