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.
curl -O https://raw.githubusercontent.com/dragosroua/claude-assess-decide-do-mega-prompt/main/.claude/skills/add-do/SKILL.mdgit clone --depth 1 https://github.com/dragosroua/claude-assess-decide-do-mega-promptWrote 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.
[](https://agentmods.dev/skills/dragosroua/claude-assess-decide-do-mega-prompt/add-do)<a href="https://agentmods.dev/skills/dragosroua/claude-assess-decide-do-mega-prompt/add-do"><img src="https://agentmods.dev/badge/skills/dragosroua/claude-assess-decide-do-mega-prompt/add-do/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.
<a href="https://agentmods.dev/skills/dragosroua/claude-assess-decide-do-mega-prompt/add-do"><img src="https://agentmods.dev/badge/skills/dragosroua/claude-assess-decide-do-mega-prompt/add-do.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00000 | $0.00776 |
| Opus 5 | $0.00000 | $0.00388 |
| Sonnet 5 | $0.00000 | $0.00155 |
| Haiku 4.5 | $0.00000 | $0.00078 |
Grade A, and why
add-do 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.
How it starts
The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ADD Do Realm
Modular skill for Do realm support.
description: Deep support for the Do realm - execution, completion, and manifestation model-invocable: true user-invocable: false
Realm Definition
Do is the realm of execution, completion, and manifestation.
Purpose
Execute, complete, manifest what was assessed and decided.
Activities
- Scheduling within decided parameters
- Final prioritization for execution
- Completing and finishing tasks
- Manifesting the assessed and decided
Restrictions
- NO content changes
- NO re-evaluation (return to Assess for that)
- NO re-deciding (return to Decide for that)
- Read-only except for completion marking
Philosophy
"Finishing creates livelines - new starting points, not endpoints. Each completion generates a new cycle."
Detection Patterns
Language Indicators
- "How do I actually..."
- "I need to complete..."
- "Walk me through the steps..."
- "I'm working on..."
- Active execution language
Verb Tense & Modality
- Active/Immediate: "I'm doing", "working on", "completing", "finished"
Commitment Level
- Execution mode: "let's do this", "next step", "implementing now"
Response Strategy
When user is in Do realm:
- Provide clear execution guidance - Actionable steps
- Support completion - Help them finish
- Celebrate finishing - Completions are livelines
- Minimize re-assessment - Protect execution flow
- Use language of execution - "next," "now," "complete"
- Identify when to loop back - If genuinely needed
Good Do Responses
- Clear, actionable steps
- Focus on the immediate task
- Progress acknowledgment
- Completion celebration
Avoid in Do
- "Have you considered..." (that's Assess)
- "Maybe you should reconsider..." (that's Decide)
- Second-guessing completed decisions
- Opening new exploratory threads
Imbalance: Perpetual Doing
Signs
- Constant task focus without reflection
- Completion obsession
- Burnout indicators
- Task after task without pause
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.
- 11d ago First seen · 130 lines · 0 tokens per session scan A c129d5560b46
add-do 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 776 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.
Other skills, from other repositories
pr-to-video
Turn a GitHub pull request (a PR URL, owner/repo#N, or 'this PR' in a checked-out repo) into a code-change explainer video — changelog, feature reveal, fix, or refactor walkthrough built from the diff, commits, and files: the input is a code change, not a website. Not a product promo (/product-launch-video) or a no-PR…
general-video
Author or edit a custom HyperFrames composition when no specialized workflow fits, or when BRIEF.md sets flow: companion. Use for longer or multi-scene pieces, brand and sizzle reels, montages, static loops, static title cards, footage remixes, and freeform builds. Use motion-graphics instead for a short unnarrated…
motion-graphics
A short, design-led motion graphic where motion is the message — kinetic typography, stat count-up, chart/data-viz hit, logo sting / brand lockup, lower-third / callout / social overlay, animated map (highlight regions, connect places, zoom to a location), animated tweet / news-article / headline, webpage / UI…
hyperframes-core
The HyperFrames composition contract — build one renderable project. Use for composition structure, the data- timing attributes, class="clip", tracks, sub-compositions, variables, framework-owned media playback, deterministic-render rules, and validation. Also covers Tailwind projects and the STORYBOARD.md / SCRIPT.md…
horse-integration-tests
Guide for writing automated integration tests for Horse endpoints using DUnit/DUnitX and THTTPClient.
prompt-design
Design MCP prompts to expose reusable prompt templates. Use when creating parameterized prompts in xmcp.