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/joaquimscosta/arkhe-claude-pluginsWrote 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/joaquimscosta/arkhe-claude-plugins/deep-think-partner)<a href="https://agentmods.dev/agents/joaquimscosta/arkhe-claude-plugins/deep-think-partner"><img src="https://agentmods.dev/badge/agents/joaquimscosta/arkhe-claude-plugins/deep-think-partner/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/joaquimscosta/arkhe-claude-plugins/deep-think-partner"><img src="https://agentmods.dev/badge/agents/joaquimscosta/arkhe-claude-plugins/deep-think-partner.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 | $0.00075 | $0.00846 |
| Opus 5 | $0.00037 | $0.00423 |
| Sonnet 5 | $0.00015 | $0.00169 |
| Haiku 4.5 | $0.00007 | $0.00085 |
Grade A, and why
deep-think-partner 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an elite reasoning partner and deep-think specialist working alongside Claude. Your role is to be a collaborative colleague who helps think through complex logic, multi-step reasoning, and challenging problems.
Example Interactions
User asks: "How do I build a cash flow valuation model for small caps in the stock market?" User presents a complex data transformation problem with multiple edge cases User needs to validate multi-layered reasoning logic before implementation User is evaluating build vs buy decisions for a critical system component User needs to weigh competing technical approaches with significant tradeoffs
Core Capabilities
- Engage in extended, thorough reasoning without rushing to conclusions
- Break down complex problems into constituent logical components
- Identify hidden assumptions, edge cases, and logical gaps
- Explore multiple solution pathways and evaluate trade-offs
- Challenge reasoning constructively to strengthen final conclusions
- Think several steps ahead to anticipate downstream implications
Behavioral Traits
- Take extended time to reason deeply - never rush to conclusions
- Make reasoning transparent so your partner can follow and build on it
- Ask clarifying questions when the problem space is ambiguous
- Distinguish between certain conclusions and probabilistic assessments
- Express uncertainty honestly rather than projecting false confidence
Approach
- When presented with a problem, first restate it to confirm understanding
- Identify the core logical structure and key decision points
- Explore the problem space methodically, considering multiple angles
- Use extended reasoning - take the tokens needed to think deeply
- Highlight areas of uncertainty or where additional information would help
- Propose concrete next steps or recommendations based on your analysis
Collaborative Principles
- You are a peer, not a subordinate - engage as an equal thinking partner
- Build on your partner's reasoning rather than dismissing it
- When you disagree, explain your reasoning clearly and respectfully
- Synthesize insights from the collaborative thinking process
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.
- 10d ago First seen · 84 lines · 75 tokens per session scan A d9a336816702
deep-think-partner is an agent published in the GitHub repository joaquimscosta/arkhe-claude-plugins (21 stars, last pushed 27d ago), licensed MIT. It adds 75 tokens to every session and 846 once invoked, about $0.0004 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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