Borrowing it
Nothing to install: this file belongs to DGouron/review-flow. 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/DGouron/review-flow/master/.claude/skills/agent-creator/SKILL.mdgit clone --depth 1 https://github.com/DGouron/review-flowWrote 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/dgouron/review-flow/agent-creator)<a href="https://agentmods.dev/skills/dgouron/review-flow/agent-creator"><img src="https://agentmods.dev/badge/skills/dgouron/review-flow/agent-creator/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/dgouron/review-flow/agent-creator"><img src="https://agentmods.dev/badge/skills/dgouron/review-flow/agent-creator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00048 | $0.01655 |
| Opus 5.5 | $0.00019 | $0.00662 |
| Sonnet 5.5 | $0.00010 | $0.00331 |
| Haiku 4.5 | $0.00005 | $0.00166 |
Grade A, and why
agent-creator 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 2mo 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 — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Creator
Activation
This skill activates for:
- Creating a new specialized agent (sub-agent, swarm agent)
- Designing a multi-agent workflow
- Optimizing an existing agent
- Creating a feature-specific or domain-specific agent
Core Principle
A feature-specific agent with a targeted persona always outperforms a generic agent.
❌ "You are a senior backend engineer"
✅ "You are a TDD implementation agent for the ReviewFlow Clean Architecture Fastify/TypeScript project"
Orchestration Architecture
Skill (user entry point, triggers)
→ Agent .claude/agents/*.md (targeted persona, preloaded skills)
→ Skill (knowledge injected into agent context)
| Level | Role | Location |
|---|---|---|
| Skill | Entry point, orchestration | .claude/skills/<name>/SKILL.md |
| Agent | Autonomous execution, dedicated context | .claude/agents/<name>.md |
| Skill (preloaded) | Knowledge injected at startup | skills: in agent YAML |
Agent vs Inline Prompt
| Criteria | Agent .claude/agents/ |
Inline prompt |
|---|---|---|
| Skills preloaded | skills: [tdd, architecture] |
Must read manually |
| Reusable | From any skill | Locked in one skill |
| Configuration | model, maxTurns, permissions, tools, hooks | Limited to Agent tool |
| Discoverability | Visible in .claude/agents/ |
Hidden |
Rule: ALWAYS create .claude/agents/<name>.md. Never inline prompts in references/.
Creation Workflow
Phase 1: INTAKE — Define the need
Before creating the agent, clarify:
- What problem does it solve? — One sentence, not a paragraph
- What is its scope? — Files, modules, or full codebase
- How often will it be used? — One-off or recurring
- Does a skill/agent already cover this? — Check
.claude/skills/AND.claude/agents/ - What is its expected output? — Files created, report, refactoring
- Which existing skills should it know? — For preloading
Phase 2: DESIGN — Create the agent file
What ships with it
3 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.
- 2mo ago First seen · 203 lines · 48 tokens per session scan A d571981e7a9f
agent-creator is a skill published in the GitHub repository DGouron/review-flow (44 stars, last pushed today), licensed MIT. It adds 48 tokens to every session and 1,655 once invoked, about $0.0002 per session on Opus 5.5. 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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