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.
npx agentmods add agents/first-fluke/oh-my-agent/research-explorergit clone --depth 1 https://github.com/first-fluke/oh-my-agentWhat 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.
| Model | Per session | Once 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 |
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.
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
- Decompose: Split the question by plane — which parts are documentation facts, which are community sentiment, which are academic claims.
- 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.
- Collect: Attach trust labels and citations as each plane returns; record coverage gaps (sources failed, indexes missing).
- Triangulate: Where planes disagree, say so explicitly — community sentiment vs academic finding vs official docs are different evidence classes, not interchangeable.
- Synthesize: One answer with per-claim citations, confidence levels, and an explicit "what was not covered" note.
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.
- yesterday First seen · 65 lines · 41 tokens per session scan A 443999736810
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.
Other agents, from other repositories
browser-agent
General-purpose browser automation agent using playwright-cli. Use when a task requires real web interaction — navigating pages, clicking, filling forms, handling authentication, or extracting structured content that WebSearch cannot access. Do not use for simple information lookup; prefer WebSearch first.
ai-pattern-analyzer
../../.assistants/folio/sub-agents/ai-pattern-analyzer.md.
calendar-blocker
../../.assistants/lyren/sub-agents/calendar-blocker.md.
citation-reviewer
../../.assistants/folio/sub-agents/citation-reviewer.md.
system-audit-gatherer
../../.assistants/cantos/sub-agents/system-audit-gatherer.md.
system-audit-reasoner
../../.assistants/cantos/sub-agents/system-audit-reasoner.md.