deep-reasoner

deep-reasoner is an agent for Claude Code from thomascasali/claude-kb-workflow. It costs 49 tokens per session (130 once invoked), scanned A, original, no licence file.

A reasoning assistant for software architecture, difficult debugging, and algorithm design. It reads relevant files, considers competing explanations, and returns a concise conclusion with supporting reasoning.

In plain words
What is it for?
Use it to investigate complex bugs, evaluate architecture choices, and design or review algorithms.
Why use it?
It helps reduce speculation when a technical problem has several possible causes or solutions. Its output gives the main conclusion first so another agent can act on it.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter.

Good fit Use it to investigate complex bugs, evaluate architecture choices, and design or review algorithms.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/thomascasali/claude-kb-workflow/deep-reasoner
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/thomascasali/claude-kb-workflow

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.

agentmods badge for deep-reasoner

README.md
[![agentmods](https://agentmods.dev/badge/agents/thomascasali/claude-kb-workflow/deep-reasoner/github.svg)](https://agentmods.dev/agents/thomascasali/claude-kb-workflow/deep-reasoner)
Your own site
<a href="https://agentmods.dev/agents/thomascasali/claude-kb-workflow/deep-reasoner"><img src="https://agentmods.dev/badge/agents/thomascasali/claude-kb-workflow/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.

agentmods 80×15 button for deep-reasoner

Your own site · 80×15
<a href="https://agentmods.dev/agents/thomascasali/claude-kb-workflow/deep-reasoner"><img src="https://agentmods.dev/badge/agents/thomascasali/claude-kb-workflow/deep-reasoner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 130 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 $0.00049 $0.00130
Opus 5.5 $0.00020 $0.00052
Sonnet 5.5 $0.00010 $0.00026
Haiku 4.5 $0.00005 $0.00013

Measured 1mo ago against content hash 1aa205dc0c8d, 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 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.

agents/deep-reasoner.md · 11 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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 · 11 lines · 49 tokens per session scan A 1aa205dc0c8d

Subscribe to this mod's changes

deep-reasoner is an agent published in the GitHub repository thomascasali/claude-kb-workflow (2 stars, last pushed 14d ago), with no licence file. It adds 49 tokens to every session and 130 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.

Related

Other agents, from other repositories

call-tracer

Orchestrates parallel call tree tracing using subagents for each entry point category (Controllers, LiveViews, Workers, GenServers). Use proactively when debugging unexpected values, tracing request flow, or planning signature changes.

oliver-kriska/claude-elixir-phoenix · 46 tokens

reverse-engineer

Binary analysis agent — disassembly, decompilation, vulnerability discovery in compiled code, firmware analysis, protocol reverse engineering.

hypnguyen1209/offensive-claude · 27 tokens

hydra-sentinel-scan

Fast integration sweep after code changes. Checks for broken imports, missing exports, changed function signatures, missing env vars, circular dependencies, and changed API routes. Runs on the cheap tier for speed. If issues are found, the orchestrator escalates to hydra-sentinel for deep analysis. If clean — done…

AR6420/Hail_Hydra · 74 tokens

bulwark-implementer

Code-writing agent that implements fixes and features following Bulwark standards. Quality enforced by direct implementer-quality.sh invocation after each Write/Edit. Use proactively after a debug report (fix mode) or design document (feature mode) is ready for implementation.

QBall-Inc/the-bulwark · 57 tokens

fec-performance-optimizer

Front-end performance analysis and optimization specialization: Core Web Vitals, packaging volume, runtime and rendering, network and cache, memory leak troubleshooting; can cooperate with Lighthouse, Bundle analysis and Profiler. Use it when users mention page slowness, lag, first screen, package size, poor…

bovinphang/frontend-craft · 72 tokens

worker-lint

Runs lint.py against the wiki, parses tiered output, returns severity summary. Use before quarterly reviews or when user asks for wiki health check.

anh-chu/llm-wiki-pm · 33 tokens