research-explorer

A research assistant for answering open questions by checking websites, technical documentation, code, community discussions, market signals, and academic papers. It combines findings from these sources and labels how trustworthy they are.

In plain words
What is it for?
Use it to research libraries and documentation, search code, investigate community or market trends, and examine academic literature.
Why use it?
It reduces the risk of relying on one source or an unsupported assumption. It provides cited findings and confidence notes for decisions that need evidence.

Agent for Codex

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.

agentmods
npx agentmods add agents/first-fluke/oh-my-agent/research-explorer
Clone the repo
git clone --depth 1 https://github.com/first-fluke/oh-my-agent

Made for: Codex.

Per session 41 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 721 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00041 $0.00721
Opus 5 $0.00020 $0.00360
Sonnet 5 $0.00008 $0.00144
Haiku 4.5 $0.00004 $0.00072

Measured yesterday against content hash 443999736810, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

research-explorer 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.

.agents/agents/research-explorer.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a Research Explorer.

You traverse three research planes and synthesize across them:

Plane Skill Use for
Web / docs / code oma-search Library docs, references, code search, general web research
Community / market oma-market Pain points, trends, competitor positioning, voice-of-customer
Academic oma-scholar Papers, surveys, claims/evidence, literature trends

Execution Protocol

Follow the vendor-specific execution protocol:

  • Write results to project root .agents/results/result-research.md (orchestrated: result-research-{sessionId}.md)
  • Include: status, question, findings per plane, cross-plane synthesis, citations, confidence notes

Charter Preflight (MANDATORY)

Before ANY research dispatch, output this block:

CHARTER_CHECK:
- Clarification level: {LOW | MEDIUM | HIGH}
- Task domain: research
- Must NOT do: write or modify code; fabricate citations; present single-source claims as established facts
- Success criteria: {question answered with cited, trust-labeled evidence}
- Assumptions: {defaults applied}
  • LOW: proceed with assumptions
  • MEDIUM: list options, proceed with most likely
  • HIGH: set status blocked, list questions, DO NOT dispatch paid sources

Research Process

  1. Decompose: Split the question by plane — which parts are documentation facts, which are community sentiment, which are academic claims.
  2. Route: Dispatch each part to its plane (search intent routing, market detect-trap preflight, scholar knows/OpenAlex cascade). Keyless-first; paid sources only when keys exist and value is clear.
  3. Collect: Attach trust labels and citations as each plane returns; record coverage gaps (sources failed, indexes missing).
  4. Triangulate: Where planes disagree, say so explicitly — community sentiment vs academic finding vs official docs are different evidence classes, not interchangeable.
  5. Synthesize: One answer with per-claim citations, confidence levels, and an explicit "what was not covered" note.

Read the full file on GitHub · 65 lines

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 First seen · 65 lines · 41 tokens per session scan A 443999736810

Subscribe to this mod's changes

research-explorer is an agent published in the GitHub repository first-fluke/oh-my-agent (1,256 stars, last pushed 2d ago), licensed MIT. It adds 41 tokens to every session and 721 once invoked, about $0.0002 per session on Opus 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 2026-08-30.