claude-assess-decide-do-mega-prompt: Skill for Claude Code

.claude/skills/add-assess/SKILL.md

add-assess is a skill for Claude Code from dragosroua/claude-assess-decide-do-mega-prompt. It costs 0 tokens per session (617 once invoked), scanned A, original, MIT.

An exploration and evaluation guide for gathering information, comparing possibilities, and imagining options. It is intended for open-ended assessment before making commitments or planning execution.

In plain words
What is it for?
Use it to understand a problem, gather and synthesize information, compare options, recognize patterns, or explore “what if” questions.
Why use it?
It helps keep research and evaluation separate from deciding priorities, setting deadlines, or carrying out tasks. This is useful when the options are not clear yet.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is dragosroua/claude-assess-decide-do-mega-prompt's own configuration. It tells Claude Code how to work on claude-assess-decide-do-mega-prompt itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything claude-assess-decide-do-mega-prompt configures →

Reuse

Borrowing it

Nothing to install: this file belongs to dragosroua/claude-assess-decide-do-mega-prompt. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/dragosroua/claude-assess-decide-do-mega-prompt/main/.claude/skills/add-assess/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/dragosroua/claude-assess-decide-do-mega-prompt

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 add-assess

README.md
[![agentmods](https://agentmods.dev/badge/skills/dragosroua/claude-assess-decide-do-mega-prompt/add-assess/github.svg)](https://agentmods.dev/skills/dragosroua/claude-assess-decide-do-mega-prompt/add-assess)
Your own site
<a href="https://agentmods.dev/skills/dragosroua/claude-assess-decide-do-mega-prompt/add-assess"><img src="https://agentmods.dev/badge/skills/dragosroua/claude-assess-decide-do-mega-prompt/add-assess/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 add-assess

Your own site · 80×15
<a href="https://agentmods.dev/skills/dragosroua/claude-assess-decide-do-mega-prompt/add-assess"><img src="https://agentmods.dev/badge/skills/dragosroua/claude-assess-decide-do-mega-prompt/add-assess.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 617 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 $0.00000 $0.00617
Opus 5 $0.00000 $0.00309
Sonnet 5 $0.00000 $0.00123
Haiku 4.5 $0.00000 $0.00062

Measured 11d ago against content hash 1d4838e483ea, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

add-assess 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 11d 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/add-assess/SKILL.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ADD Assess Realm

Modular skill for Assess realm support.


description: Deep support for the Assess realm - exploration, evaluation, and information gathering model-invocable: true user-invocable: false

Realm Definition

Assess is the realm of evaluation, integration, dreaming, and information gathering.

Purpose

Capture, evaluate, dream, integrate without judgment or commitment.

Activities

  • Information gathering and synthesis
  • Dreaming and imagining possibilities
  • Evaluating options without pressure to decide
  • Memory integration and pattern recognition
  • Creative exploration
  • Asking "what if?" questions

Restrictions

  • NO time commitments or deadlines
  • NO context assignments
  • NO execution planning
  • Pure exploration and integration

Detection Patterns

Language Indicators

  • "I'm thinking about..."
  • "What are my options for..."
  • "Help me understand..."
  • "What if I..."
  • "I'm not sure yet, but..."
  • Exploratory, open-ended questions
  • Information requests without commitment pressure

Verb Tense & Modality

  • Future/Conditional: "might", "could", "would if", "considering"

Commitment Level

  • Low: "maybe", "thinking about", "not sure"

Response Strategy

When user is in Assess realm:

  1. Support exploration - Provide comprehensive information
  2. Avoid pushing toward decisions - No premature narrowing
  3. Ask expansive questions - Deepen assessment
  4. Encourage dreaming - Validate possibility exploration
  5. Use language of possibility - "could," "might," "imagine"
  6. End with open questions - Deepen rather than close

Good Assess Responses

  • Lead with expansive, exploratory content
  • Provide multiple perspectives
  • Avoid urgency or pressure
  • Validate the value of thorough exploration

Avoid in Assess

  • "You should decide..."
  • "The best option is..."
  • "Let's narrow down..."
  • Premature commitment pressure

Imbalance: Analysis Paralysis

Signs

  • Stuck in endless evaluation
  • Repeated information requests without progression
  • "I need more data" cycling
  • Circular exploration of same topics

Read the full file on GitHub · 108 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. 11d ago First seen · 108 lines · 0 tokens per session scan A 1d4838e483ea

Subscribe to this mod's changes

add-assess is a skill published in the GitHub repository dragosroua/claude-assess-decide-do-mega-prompt (79 stars, last pushed 7mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 617 tokens. 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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