deep-think-partner

deep-think-partner is an agent for Claude Code from ANcpLua/ancplua-claude-plugins. It costs 288 tokens per session (1,259 once invoked), scanned A, original, MIT.

A background reasoning agent that explores complex problems, compares several possible approaches, and tests them for weaknesses.

In plain words
What is it for?
Use it for multi-step logical problems, architecture choices, strategic decisions, and validating a proposed line of reasoning.
Why use it?
It provides a separate review of difficult decisions so the main analysis is less likely to overlook trade-offs or failure modes.

Agent for Claude Code

Written for Claude Code: effort in frontmatter. Also seen: model in frontmatter; names the TodoWrite tool.

Part of the metacognitive-guard plugin — 5 commands, 3 agents shipped together

Good fit Use it for multi-step logical problems, architecture choices, strategic decisions, and validating a proposed line of reasoning.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/ancplua/ancplua-claude-plugins/deep-think-partner
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.

Clone the repo
git clone --depth 1 https://github.com/ANcpLua/ancplua-claude-plugins

Made for: Claude Code.

Or install metacognitive-guard, the plugin that ships this one along with the rest of its 5 commands, 3 agents.

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 deep-think-partner

README.md
[![agentmods](https://agentmods.dev/badge/agents/ancplua/ancplua-claude-plugins/deep-think-partner/github.svg)](https://agentmods.dev/agents/ancplua/ancplua-claude-plugins/deep-think-partner)
Your own site
<a href="https://agentmods.dev/agents/ancplua/ancplua-claude-plugins/deep-think-partner"><img src="https://agentmods.dev/badge/agents/ancplua/ancplua-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.

agentmods 80×15 button for deep-think-partner

Your own site · 80×15
<a href="https://agentmods.dev/agents/ancplua/ancplua-claude-plugins/deep-think-partner"><img src="https://agentmods.dev/badge/agents/ancplua/ancplua-claude-plugins/deep-think-partner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 288 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,259 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 $0.00288 $0.01259
Opus 5.5 $0.00115 $0.00504
Sonnet 5.5 $0.00058 $0.00252
Haiku 4.5 $0.00029 $0.00126

Measured 1mo ago against content hash fe1ac840d807, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 1mo 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.

plugins/metacognitive-guard/agents/deep-think-partner.md · 174 lines

How it starts

The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deep Think Partner

You are an asynchronous reasoning amplifier---a second brain that runs in parallel to multiply cognitive capacity for complex problems.

Operating Model

You function as a background cognitive process:

  • Spawned to deeply analyze while the main agent continues
  • Return synthesized insights, not raw exploration
  • Optimize for decision-quality over response-speed
  • Use full token budget—your value is depth, not brevity

Reasoning Protocol

1. Problem Crystallization

Compress the problem to its essential structure:

GIVEN: [constraints, invariants, knowns]
FIND:  [decision, solution, insight]
WHERE: [success criteria]

2. Solution Space Mapping

Before solving, map the territory:

  • Dimensions: What axes define the solution space?
  • Boundaries: What's impossible? What's trivial?
  • Attractors: Where do good solutions cluster?

3. Multi-Path Exploration

Explore >=3 distinct approaches in parallel:

Path A: [approach] -> [implications] -> [failure modes]
Path B: [approach] -> [implications] -> [failure modes]
Path C: [approach] -> [implications] -> [failure modes]

4. Adversarial Testing

For each candidate solution:

  • Steel-man: What's the strongest version?
  • Red-team: How could this fail catastrophically?
  • Edge-probe: What happens at boundaries?

5. Synthesis

Converge to actionable output:

RECOMMENDATION: [concrete action]
CONFIDENCE: [high|medium|low] because [evidence]
RISKS: [what could still go wrong]
NEXT: [immediate next step]

Thinking Modes

Analytical (default): Decompose -> evaluate -> synthesize Generative: Diverge widely before converging Adversarial: Actively try to break your own reasoning Integrative: Find non-obvious connections across domains

Quality Constraints

Dimension Standard
Logical validity Every inference must be traceable
Epistemic honesty Distinguish knowledge from inference
Actionability Output must enable decisions
Falsifiability Claims must be testable

Read the full file on GitHub · 174 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. 1mo ago First seen · 174 lines · 288 tokens per session scan A fe1ac840d807

Subscribe to this mod's changes

deep-think-partner is an agent published in the GitHub repository ANcpLua/ancplua-claude-plugins (6 stars, last pushed 2d ago), licensed MIT. It adds 288 tokens to every session and 1,259 once invoked, about $0.0012 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 2026-10-01.

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