skill-decision-support

skill-decision-support is a skill for Claude Code from nyldn/claude-octopus. It costs 20 tokens per session (2,569 once invoked), scanned A, original, MIT.

Guidance for comparing possible approaches by explaining their benefits, drawbacks, constraints, and consequences before a choice is made.

In plain words
What is it for?
Use it when choosing between implementations, asking for alternatives, or deciding whether to fix a problem one way or another.
Why use it?
It makes trade-offs visible when there is no single obvious solution. It can also gather requirements such as must-have features, deal-breakers, timing, and budget.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: names the AskUserQuestion tool.

Part of the octo plugin — 70 skills, 106 commands, 10 agents, 18 hooks shipped together

Good fit Use it when choosing between implementations, asking for alternatives, or deciding whether to fix a problem one way or another.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nyldn/claude-octopus/skill-decision-support
About the project

Claude Octopus is an orchestration project that sends research, design, and coding tasks to Claude Code and other AI model providers so their results can be compared. Developers use it for multi-model work, disagreement detection, reviews, persistent context, and an optional workflow that moves from discovery through delivery. The catalogue entries are its commands, skills, agents, instructions, hooks, plugins, and settings.

nyldn/claude-octopus · 4,058 stars · on GitHub · reddit.com

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 nyldn/claude-octopus --skill skill-decision-support
Clone the repo
git clone --depth 1 https://github.com/nyldn/claude-octopus

Made for: Claude Code.

Or install octo, the plugin that ships this one along with the rest of its 70 skills, 106 commands, 10 agents, 18 hooks.

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 skill-decision-support

README.md
[![agentmods](https://agentmods.dev/badge/skills/nyldn/claude-octopus/skill-decision-support/github.svg)](https://agentmods.dev/skills/nyldn/claude-octopus/skill-decision-support)
Your own site
<a href="https://agentmods.dev/skills/nyldn/claude-octopus/skill-decision-support"><img src="https://agentmods.dev/badge/skills/nyldn/claude-octopus/skill-decision-support/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 skill-decision-support

Your own site · 80×15
<a href="https://agentmods.dev/skills/nyldn/claude-octopus/skill-decision-support"><img src="https://agentmods.dev/badge/skills/nyldn/claude-octopus/skill-decision-support.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,569 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00020 $0.02569
Opus 5 $0.00010 $0.01285
Sonnet 5 $0.00004 $0.00514
Haiku 4.5 $0.00002 $0.00257

Measured 10d ago against content hash 55f1e78783e2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

skill-decision-support 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.

.claude/skills/skill-decision-support/SKILL.md · 460 lines

How it starts

The opening of the file, as written. The whole thing — 460 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Decision Support & Options Presentation

Overview

Structured approach to presenting options and alternatives with clear trade-offs, enabling informed decision-making.

Core principle: Understand context → Generate options → Analyze trade-offs → Present clearly → Support choice.


When to Use

Use this skill when user:

  • Asks for options or alternatives
  • Says "fix or provide options"
  • Needs help deciding between approaches
  • Wants to see different ways to solve a problem
  • Is uncertain about best path forward

Do NOT use for:

  • General research ("what is X?") → use flow-probe
  • Implementation work → use flow-tangle
  • Simple yes/no questions
  • Already-decided approaches

The Process

Phase 1: Context Understanding

Step 1: Understand the Decision Point
**Decision Context:**

What needs to be decided: [the core question]
Why it matters: [impact of this decision]
Constraints: [time, resources, compatibility, etc.]
Current state: [what exists now]
Step 2: Gather Requirements

Use AskUserQuestion if needed to understand:

  • Must-have requirements
  • Nice-to-have features
  • Deal-breakers
  • Timeline constraints
  • Budget/resource constraints

Phase 2: Generate Options

Step 1: Identify Viable Approaches

Generate 2-4 distinct options (not just variations):

Option Type When to Include
Conservative Low risk, proven approach
Moderate Balanced risk/reward
Innovative Higher risk, potentially better outcome
Minimal Simplest possible solution

Don't generate options that:

  • Violate stated constraints
  • Are clearly inferior to others
  • Are essentially the same with minor tweaks
Step 2: Research Each Option

For each option, understand:

  • How it works
  • What it requires
  • What the outcome looks like
  • What could go wrong

Phase 3: Trade-off Analysis

For each option, analyze:

### Option N: [Name]

**Description:**
[1-2 sentence description]

**Pros:**
- ✅ [Advantage 1]
- ✅ [Advantage 2]
- ✅ [Advantage 3]

**Cons:**
- ❌ [Disadvantage 1]
- ❌ [Disadvantage 2]
- ❌ [Disadvantage 3]

**Effort:** [Low/Medium/High]
**Risk:** [Low/Medium/High]
**Reversibility:** [Easy/Moderate/Difficult to undo]

**Best for:** [when this option makes sense]

Read the full file on GitHub · 460 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. 10d ago First seen · 460 lines · 20 tokens per session scan A 55f1e78783e2

Subscribe to this mod's changes

skill-decision-support is a skill published in the GitHub repository nyldn/claude-octopus (4,058 stars, last pushed yesterday), licensed MIT. It adds 20 tokens to every session and 2,569 once invoked, about $0.0001 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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