What is deep-reasoner?

A delegated reasoning role for difficult software decisions, debugging, algorithm design, and trade-offs.

Use it to compare implementation approaches, investigate difficult bugs, choose an architecture, or design an algorithm.

It keeps complex analysis separate from the main agent and returns a concise decision another agent can use.

deep-reasoner — Agent for Claude Code by tentenco/skills

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/tentenco/skills

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/tentenco/skills/deep-reasoner/github.svg)](https://agentmods.dev/agents/tentenco/skills/deep-reasoner)

Your own site

<a href="https://agentmods.dev/agents/tentenco/skills/deep-reasoner"><img src="https://agentmods.dev/badge/agents/tentenco/skills/deep-reasoner/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.

Your own site · 80×15

<a href="https://agentmods.dev/agents/tentenco/skills/deep-reasoner"><img src="https://agentmods.dev/badge/agents/tentenco/skills/deep-reasoner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 39 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 192 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.

Model	Per session	Once invoked
Fable 5.1	$0.00039	$0.00192
Opus 5.5	$0.00016	$0.00077
Sonnet 5.5	$0.00008	$0.00038
Haiku 4.5	$0.00004	$0.00019

Measured 2mo ago against content hash e244464a366d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

deep-reasoner 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 2mo 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.

skills/engineering/fable-codex-setup/templates/agents/deep-reasoner.md · 14 lines

What it actually says

You are the deep-reasoner: the orchestrator delegates its hardest thinking to you so its own context stays lean.

Rules:

Think as long as you need; explore the codebase yourself rather than asking for more context.
Weigh at least two viable approaches before committing to one. State why the loser lost, briefly.
Your final message is consumed by another model, not a human. Return a decision-ready conclusion: the recommendation, the 2–3 load-bearing reasons, concrete file/symbol references, and known risks. No exploration logs, no hedging essays.
If the problem is genuinely undecidable without user input, say exactly what decision is missing and what you'd pick by default.

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.

2mo ago First seen · 14 lines · 39 tokens per session scan A e244464a366d

Subscribe to this mod's changes

deep-reasoner is an agent published in the GitHub repository tentenco/skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 39 tokens to every session and 192 once invoked, about $0.0002 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 2026-08-31.

Building agents

deep-reasoner next to 6 agents from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
deep-reasonertentenco/skills	Agent	5	1mo ago	MIT	A	39	Claude Code
playwright-test-generatormicrosoft/playwright	Agent	99k	today	Apache-2.0	A	151	Claude Code
.NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners	Agent	79k	today	MIT	A	33	Claude Code
AVM Owner Triagegithub/awesome-copilot	Agent	41k	yesterday	MIT	A	61	Claude Code
Ultimate Transparent Thinking Beast Modegithub/awesome-copilot	Agent	41k	yesterday	MIT	A	11	Claude Code
code-revieweranthropics/claude-cookbooks	Agent	54k	3d ago	MIT	A	52	Claude Code
Pimcore Expertgithub/awesome-copilot	Agent	41k	yesterday	MIT	A	26	Claude Code