research

research is a skill for Claude Code from notque/vexjoy-agent. It costs 14 tokens per session (1,683 once invoked), scanned A, original, MIT.

A research guide for structured investigations, fact-checking, and explanation traces. Fact-checking verifies claims such as dates, figures, quotations, prices, and attributions against evidence.

In plain words
What is it for?
Use it to gather evidence for a report, verify factual claims before publishing, or explain why a routing or agent decision was made.
Why use it?
It turns open-ended research and claim checking into traceable steps, making unsupported statements easier to spot.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: agent in frontmatter.

Good fit Use it to gather evidence for a report, verify factual claims before publishing, or explain why a routing or agent decision was made.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/notque/vexjoy-agent/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 notque/vexjoy-agent --skill research
Clone the repo
git clone --depth 1 https://github.com/notque/vexjoy-agent

Made for: Claude Code.

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 research

README.md
[![agentmods](https://agentmods.dev/badge/skills/notque/vexjoy-agent/research/github.svg)](https://agentmods.dev/skills/notque/vexjoy-agent/research)
Your own site
<a href="https://agentmods.dev/skills/notque/vexjoy-agent/research"><img src="https://agentmods.dev/badge/skills/notque/vexjoy-agent/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 research

Your own site · 80×15
<a href="https://agentmods.dev/skills/notque/vexjoy-agent/research"><img src="https://agentmods.dev/badge/skills/notque/vexjoy-agent/research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 14 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,683 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 $0.00014 $0.01683
Opus 5.5 $0.00006 $0.00673
Sonnet 5.5 $0.00003 $0.00337
Haiku 4.5 $0.00001 $0.00168

Measured yesterday against content hash 120dd8339853, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

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 yesterday.

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.

skills/research/research/SKILL.md · 182 lines

How it starts

The opening of the file, as written. The whole thing — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research Skill

Three modes. Select by request signal:

Signal Mode
Formal research, investigation, sourced report, gather evidence Research Pipeline
Fact check, verify claims, check facts, is this accurate, verify quote Fact-Check
Why did you, explain routing, show trace, decision log, why that agent Explanation Traces

Default: Research Pipeline.

Final report. When the final report synthesizes two or more dispatched agents' findings, run one self-review pass on the draft before delivery: skills/shared-patterns/report-self-review.md (separate dispatch, model: opus). It applies to Mode A and Mode B.


Mode A: Research Pipeline


Mode B: Fact-Check

Verify every factual claim in a draft before publish. Burden of proof sits on the claim, not the checker. Works standalone or as a pre-publish gate. Non-blocking: the report warns; the caller decides whether to publish.

Phase 1: EXTRACT

List every checkable claim: statistics, prices, dates, quotes, attributions, titles, event facts, rankings, causal assertions. Opinions and speculation stay out.

For each claim, record: ID, verbatim text, type (stat/quote/attribution/event/title/price/causal), location. Extract quotes verbatim for exact-words comparison.

Gate: Every checkable assertion has a claim ID. Sweep the document twice.

Phase 2: VERIFY

Work claim by claim.

  1. Check provided sources first. Search caller-supplied documents before external sources. Record exact passages.
  2. Read laterally. Judge a source by what other sources say about it, not by its own presentation.
  3. Climb the source tier. Follow citations upward: primary (study, filing, transcript) > direct secondary (interviews, primary reading) > derived (aggregators, rewrites). A broken citation chain caps the claim at Unverifiable.
  4. Triangulate contested claims. Two independent sources (separate origins, not wire rewrites). One source suffices for routine facts from a primary document.
  5. Verify quotes on three axes. All must hold: exact words match, attributed speaker confirmed, original context supports the meaning used.
  6. Check staleness. Time-sensitive claims expire. Prices/rates: 1 day-1 week. Counts: 1-3 months. Titles/roles: 3-6 months. Event status: until event date. Surveys: 6-12 months. Science: 1-3 years. Laws: 6-12 months. Records/superlatives: re-check every use. Stable history: none.

Read the full file on GitHub · 182 lines

Files

What ships with it

3 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. yesterday Changed · +141 lines · -5 tokens per session 120dd8339853
  2. 26d ago Changed · -139 lines · +5 tokens per session 56ee965d5429
  3. 27d ago First seen · 180 lines · 14 tokens per session scan A ae1565d95e4b

Subscribe to this mod's changes

research is a skill published in the GitHub repository notque/vexjoy-agent (442 stars, last pushed today), licensed MIT. It adds 14 tokens to every session and 1,683 once invoked, about $0.0001 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 2026-09-20.

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