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.
npx skills add idoforgod/Dissertation-Simulator-AgenticWorkflow --skill subagent-creatorgit clone --depth 1 https://github.com/idoforgod/Dissertation-Simulator-AgenticWorkflowWrote 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/idoforgod/dissertation-simulator-agenticworkflow/subagent-creator)<a href="https://agentmods.dev/skills/idoforgod/dissertation-simulator-agenticworkflow/subagent-creator"><img src="https://agentmods.dev/badge/skills/idoforgod/dissertation-simulator-agenticworkflow/subagent-creator.svg" alt="Measured on agentmods" 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 | $0.00055 | $0.01769 |
| Opus 5 | $0.00028 | $0.00885 |
| Sonnet 5 | $0.00011 | $0.00354 |
| Haiku 4.5 | $0.00006 | $0.00177 |
Grade B, and why
subagent-creator scanned grade B with 1 finding 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 4d 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.
Asks the agent to reveal its instructionsmediumSystem prompt leakage
Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.
- **Output instructions for user-facing text**: Include Korean translation directive How it starts
The opening of the file, as written. The whole thing — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sub-Agent Creator — Meta-Skill for Generating Agent Definitions
A meta-skill that produces Claude Code agent .md files. It designs agents
with appropriate expertise, tool access, behavioral rules, and quality
requirements following AgenticWorkflow conventions.
When to Use
- User asks to create a new agent for a specific task
- System needs to generate agents for a workflow (e.g., thesis agents)
- Batch creation of multiple related agents
Inherited DNA
This meta-skill inherits the AgenticWorkflow genome. As a skill that generates agents, it must itself embody the DNA it enforces.
| DNA Component | Expression in subagent-creator |
|---|---|
| Absolute Criteria 1 (Quality) | Generated agents use optimal model selection (opus for research, sonnet for utility) |
| Absolute Criteria 2 (SOT) | Generated agents respect single-writer SOT pattern; guard_sot_write.py compatibility |
| Absolute Criteria 3 (CCP) | Research agents include GRA compliance; utility agents document CCP exemption rationale |
| English-First | All agent instructions are in English |
| P1 Compliance | Research agents include GroundedClaim schema + Hallucination Firewall |
| Quality Gates | Research agents integrate with validate_grounded_claim.py PostToolUse hook |
Agent File Schema
Agent definitions live in .claude/agents/ and follow this structure:
---
name: {agent-name} # kebab-case
description: {brief description}
model: opus # opus | sonnet | haiku
tools: Read, Write, Glob, Grep # comma-separated tool list
maxTurns: {N} # max reasoning turns (default: 20)
memory: project # project | none
---
{Agent behavioral instructions in English}
Generation Protocol
Step 1: Agent Design Analysis
Determine the agent's requirements:
- Primary task: What is the agent's core responsibility?
- Expertise domain: What specialized knowledge does it need?
- Input/Output: What does it receive and produce?
- Quality criteria: What makes a good output for this agent?
- Tool needs: Which tools does it require?
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago First seen · 190 lines · 55 tokens per session scan B fd5fc1bb62cf
subagent-creator is a skill published in the GitHub repository idoforgod/Dissertation-Simulator-AgenticWorkflow (108 stars, last pushed 3mo ago), licensed MIT. It adds 55 tokens to every session and 1,769 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (asks the agent to reveal its instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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