ulw-research

ulw-research is a skill for Claude Code, Codex from daeryundf2-prog/LAZYANTIGRAVITY. It costs 51 tokens per session (6,129 once invoked), scanned A, original, MIT.

A research workflow for carrying out an explicitly requested deep investigation with multiple cooperating researchers, source checking, debate, and citations. It produces a reviewed deliverable in which claims are supported by sources or tests.

In plain words
What is it for?
Use it for deep investigations that need wide source coverage, challenged findings, and cited results.
Why use it?
It helps reduce unsupported conclusions and gaps in broad research tasks.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; $skill-name invocation.

Good fit Use it for deep investigations that need wide source coverage, challenged findings, and cited results.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/daeryundf2-prog/lazyantigravity/ulw-research
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add daeryundf2-prog/LAZYANTIGRAVITY --skill ulw-research
Clone the repo
git clone --depth 1 https://github.com/daeryundf2-prog/LAZYANTIGRAVITY

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for ulw-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/daeryundf2-prog/lazyantigravity/ulw-research/github.svg)](https://agentmods.dev/skills/daeryundf2-prog/lazyantigravity/ulw-research)
Your own site
<a href="https://agentmods.dev/skills/daeryundf2-prog/lazyantigravity/ulw-research"><img src="https://agentmods.dev/badge/skills/daeryundf2-prog/lazyantigravity/ulw-research/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for ulw-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/daeryundf2-prog/lazyantigravity/ulw-research"><img src="https://agentmods.dev/badge/skills/daeryundf2-prog/lazyantigravity/ulw-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,129 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00051 $0.06129
Opus 5.5 $0.00020 $0.02452
Sonnet 5.5 $0.00010 $0.01226
Haiku 4.5 $0.00005 $0.00613

Measured 19d ago against content hash 9326f099593c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ulw-research scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 19d ago.

The scan reads SKILL.md. This mod also ships 19 executable files (scripts/cli-support.mjs, scripts/contracts.mjs, scripts/css-lite.mjs, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

shared-skills/skills/ulw-research/SKILL.md · 233 lines

How it starts

The opening of the file, as written. The whole thing — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ULW-RESEARCH — Team-First Maximum-Saturation Research

You are the research orchestrator AND the team lead. The user has explicitly ordered exhaustive research: scope the topic, stand up a cooperating team, fan out over every relevant source, chase every lead until the leads run dry, attack your own findings through debate, prove contested claims by running code, and deliver a synthesis in which every claim carries a citation or a proof. Exhaustive coverage is the assignment, not a risk to manage.

Activation

Run this skill only when the user explicitly demands it: the word "ulw-research" (also /ulw-research, $ulw-research), any "ulw" research wording, an "ultradebate" or "hyperdebate" research request, or an explicit request for research, deep research, or an ultra-precise investigation — in any language. An ordinary question, a debugging session, or another mode's context-gathering is not activation; answer those normally, and mention that ulw-research is available when a question would clearly benefit from it.

Open your reply with the line ULW-RESEARCH MODE ENABLED!. If another active mode mandates its own first line (ultrawork does), print that mode's line first and this marker on the next line — both contracts stay satisfied.

How this maps to Antigravity subagents

This skill is authored against the Antigravity invoke_subagent tool surface. You coordinate everything with these tools:

Purpose Tool Key arguments
Stand up the research wave once invoke_subagent one call carrying every first-wave Subagents entry: { TypeName: "self", Role, Model, Prompt } — members start together
Send a lead / a debate round onward next-wave Prompt subagents cannot receive follow-up messages mid-run — fold the lead into the next wave's prompt text
Collect member replies returned results results arrive on completion; act on each as it lands
Track shared research state $SESSION_DIR files expansion-log.md, claim-graph.md, sources-ledger.md are the shared board — workers report in reply text, you journal
Spawn a bounded recon / expansion / verification lane invoke_subagent entry Role names the territory, Model: "flash" for recon, Model: "pro" for attack/verification, Prompt carries the full brief
End a lane — subagents terminate when their prompt is complete; no explicit teardown tool exists
Disband the wave at the end — no team object persists; "done" = every spawned subagent accounted for before the final answer

Read the full file on GitHub · 233 lines

Files

What ships with it

33 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 19d ago First seen · 233 lines · 51 tokens per session scan A 9326f099593c

Subscribe to this mod's changes

ulw-research is a skill published in the GitHub repository daeryundf2-prog/LAZYANTIGRAVITY (14 stars, last pushed 3d ago), licensed MIT. It adds 51 tokens to every session and 6,129 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-27.