A reasoning aid for analytical, diagnostic, planning, and multi-step questions. It provides a structured way to examine assumptions, options, risks, and evidence.

Use it to diagnose problems, compare approaches, plan work, investigate causes, and assess trade-offs.

It helps prevent shallow conclusions and makes complex decisions easier to check before acting.

reasoning — Skill for Claude Code by ejentum

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.

Any agent

npx skills add ejentum/ejentum-mcp --skill reasoning

Clone the repo

git clone --depth 1 https://github.com/ejentum/ejentum-mcp

Made for: Claude Code.

Or install ejentum, the plugin that ships this one along with the rest of its 4 skills, 2 MCP servers.

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/skills/ejentum/ejentum-mcp/reasoning/github.svg)](https://agentmods.dev/skills/ejentum/ejentum-mcp/reasoning)

Your own site

<a href="https://agentmods.dev/skills/ejentum/ejentum-mcp/reasoning"><img src="https://agentmods.dev/badge/skills/ejentum/ejentum-mcp/reasoning/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/skills/ejentum/ejentum-mcp/reasoning"><img src="https://agentmods.dev/badge/skills/ejentum/ejentum-mcp/reasoning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 186 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 569 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	$0.00186	$0.00569
Opus 5	$0.00093	$0.00284
Sonnet 5	$0.00037	$0.00114
Haiku 4.5	$0.00019	$0.00057

Measured 10d ago against content hash 63c9097bb5a1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

reasoning 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.

skills/reasoning/SKILL.md · 34 lines

What it actually says

Reasoning Harness

When this skill triggers, call the reasoning tool from the ejentum MCP server. Pass a 1-2 sentence framing of WHAT you are reasoning about as the query argument. Be specific about the task, not what tool you want.

Good query: diagnose why a microservice returns 503s under load Bad query: help me think

The tool returns a structured scaffold containing:

[NEGATIVE GATE]: failure pattern to avoid
[PROCEDURE]: steps to follow
[REASONING TOPOLOGY]: decision flow with gates and traps
[TARGET PATTERN]: correct shape your reasoning should take
[FALSIFICATION TEST]: self-check criterion
Amplify: signals to engage
Suppress: failure modes to block

Absorb the scaffold internally and shape your response with it. The bracketed fields are instructions, not content to display. Do NOT echo the bracket labels, do NOT name the topology, do NOT meta-comment on calling the tool. The user-facing reply is naturally phrased and shaped by the injection.

If the API is unreachable or returns an error, proceed with native reasoning. The scaffold enhances; it is not a hard dependency.

Latency cost: ~1 second. Benefit: reasoning quality the model cannot reliably reproduce on its own for non-trivial tasks.

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.

10d ago First seen · 34 lines · 186 tokens per session scan A 63c9097bb5a1

Subscribe to this mod's changes

reasoning is a skill published in the GitHub repository ejentum/ejentum-mcp (16 stars, last pushed 3mo ago), licensed MIT. It adds 186 tokens to every session and 569 once invoked, about $0.0009 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.

Planning Reasoning agentic-ai ai-tools anthropic claude cognitive-scaffold community mcp model-context-protocol reasoning-harness

reasoning

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

What it actually says

Reasoning Harness

What this file has done since we first saw it

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