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.
git clone --depth 1 https://github.com/KaelSensei/MagicAIBuilderWrote 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/commands/kaelsensei/magicaibuilder/create-command)<a href="https://agentmods.dev/commands/kaelsensei/magicaibuilder/create-command"><img src="https://agentmods.dev/badge/commands/kaelsensei/magicaibuilder/create-command/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/commands/kaelsensei/magicaibuilder/create-command"><img src="https://agentmods.dev/badge/commands/kaelsensei/magicaibuilder/create-command.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 | $0.01197 |
| Opus 5.5 | $0.00000 | $0.00479 |
| Sonnet 5.5 | $0.00000 | $0.00239 |
| Haiku 4.5 | $0.00000 | $0.00120 |
Grade A, and why
create-command 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.
How it starts
The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Command – Generate New Cursor Commands
When /create-command <command-name> [description] is invoked, immediately execute the following steps to generate a new Cursor command file.
Step 1: Load Project Context
- Assume the project root as the working directory
- Load and respect all Cursor rules from
.cursor/rules/*.mdc - Read existing command files in
.cursor/commands/to understand the structure - Identify the current Git branch and assume it is a feature branch, not
main
Step 2: Parse Command Request
- Parse the command name provided after
/create-command - Extract optional description if provided
- Validate the command name:
- Must be lowercase
- Can use kebab-case for multi-word commands (e.g.,
test-integration) - Must not conflict with existing commands
- Determine the file path:
.cursor/commands/<command-name>.md
Step 3: Analyze Existing Commands
- Read at least 2-3 existing command files (e.g.,
feature.md,fix.md,beautify.md) - Extract the common structure and patterns:
- Title format
- Step structure
- Required sections
- Git workflow patterns
- Rule references
- Note any command-specific variations
Step 4: Generate Command Template
Create the new command file with the following structure:
# [Command Name] Command – [Brief Description]
When `/[command] <description>` is invoked, immediately execute the following steps.
---
## Step 1: Load Project Context
1. Assume the project root as the working directory
2. Load and respect all Cursor rules from `.cursor/rules/*.mdc`
3. Read relevant documentation:
- `README.md`
- `PROGRESS.md`
- Architecture or task documents relevant to the command
4. Identify the current Git branch and assume it is a **[type] branch**, not `main`
---
## Step 2: Understand the Task
1. Parse the description provided after `/[command]`
2. Determine:
- What needs to be done
- Which files/components are affected
- What the expected outcome is
3. Locate the exact code paths involved
4. Do **not** assume — verify by reading the code first
---
## Step 3: [Command-Specific Implementation Steps]
[Customize these steps based on the command type. Examples:]
- For testing commands: Run tests, check coverage, update test files
- For deployment commands: Build, validate, deploy, verify
- For analysis commands: Analyze code, generate reports, identify issues
---
## Step 4: Validate
1. Reason through the execution path end-to-end
2. Ensure:
- The task is completed correctly
- No regressions were introduced
- All project rules were followed
3. If applicable, verify outputs or results
---
## Step 5: Update Documentation (If Required)
If the command affects project structure or workflow:
1. Update `PROGRESS.md` if a new feature/workflow was added
2. Update `CHANGELOG.md` if applicable
3. Update `README.md` if usage instructions changed
---
## Step 6: Commit & Push (Required)
After the command file is created:
```bash
git add .cursor/commands/<command-name>.md
git commit -m "docs: add <command-name> command"
git push origin $(git branch --show-current)
```
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.
- 1mo ago First seen · 184 lines · 0 tokens per session scan A 8494f5539fca
create-command is a command published in the GitHub repository KaelSensei/MagicAIBuilder (2 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,197 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 2026-08-31.
Other commands, from other repositories
add-endpoint
Scaffold a new API endpoint with full layering.
review
Review code changes against project conventions.
fix-issue
Investigate and fix an issue.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.