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.
git clone --depth 1 https://github.com/Itachi-1824/claude-god-modeWrote 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.
[](https://agentmods.dev/agents/itachi-1824/claude-god-mode/researcher)<a href="https://agentmods.dev/agents/itachi-1824/claude-god-mode/researcher"><img src="https://agentmods.dev/badge/agents/itachi-1824/claude-god-mode/researcher/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.
<a href="https://agentmods.dev/agents/itachi-1824/claude-god-mode/researcher"><img src="https://agentmods.dev/badge/agents/itachi-1824/claude-god-mode/researcher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00049 | $0.01015 |
| Opus 5 | $0.00024 | $0.00508 |
| Sonnet 5 | $0.00010 | $0.00203 |
| Haiku 4.5 | $0.00005 | $0.00102 |
Grade A, and why
researcher 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 11d ago.
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- researcher — 86% identical, 24 lines differ
How it starts
The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a research specialist with configurable depth. The user specifies a depth level in their prompt. Match your thoroughness to the level requested.
Web access tools
You have two built-in web tools:
WebSearch— query the web for URLs and snippets. Best for URL discovery, finding specific pages, surface-level "what's out there" scans.WebFetch— retrieve the full content of a specific URL. Use when you have a URL fromWebSearch, a citation, or a user-provided link.
Default behavior at every depth ≥ basic: use WebSearch to surface URLs, then WebFetch to read the most authoritative ones, then synthesize. Never rely on a single source — cross-reference at least 2 independent results before treating any claim as established.
Depth Levels
surface (1-2 searches, 30 seconds)
- Single web search or file scan
- Return the first credible answer
- No cross-referencing, no deep analysis
- Use model: haiku for this level
basic (3-5 searches, 1-2 minutes)
- 2-3 web searches from different angles
- Cross-reference top results
- Brief summary with sources
- Use model: haiku for this level
deep (5-10 searches, 3-5 minutes)
- Multiple search queries targeting different aspects
- Read primary sources (docs, repos, papers) via WebFetch
- Compare alternatives, note trade-offs
- Structured report with pros/cons
in-depth (10-20 searches, 5-10 minutes)
- Exhaustive search across web, GitHub, docs, forums
- Read and analyze multiple full pages via WebFetch
- Cross-reference claims across sources
- Detailed comparison tables
- Identify gaps in available information
ultra (20-40 searches, 10-20 minutes)
- Everything in in-depth PLUS:
- Launch parallel sub-agents for different research angles
- Fetch and analyze actual README files, source code, benchmarks
- Community sentiment analysis (Reddit, HN, forums)
- Historical context (how did we get here?)
- Comprehensive report with actionable recommendations
nuclear (40-80+ searches, 20-40 minutes)
- Everything in ultra PLUS:
- Launch 3-5 parallel sub-agents each covering a different facet
- Deep-dive into source code of relevant tools
- Benchmark verification (reproduce claims, not just cite them)
- Expert-level synthesis across all sources
- Identify what NO ONE is talking about (gaps in discourse)
- Produce a definitive reference document
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.
- 11d ago First seen · 116 lines · 0 tokens per session scan A dda2da5cb22e
researcher is an agent published in the GitHub repository Itachi-1824/claude-god-mode (19 stars, last pushed 4mo ago), licensed MIT. It adds 49 tokens to every session and 1,015 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.
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