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 bjorn-ingmanson/thefroject-plugins --skill agent-creatorgit clone --depth 1 https://github.com/bjorn-ingmanson/thefroject-pluginsWrote 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/bjorn-ingmanson/thefroject-plugins/agent-creator)<a href="https://agentmods.dev/skills/bjorn-ingmanson/thefroject-plugins/agent-creator"><img src="https://agentmods.dev/badge/skills/bjorn-ingmanson/thefroject-plugins/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/bjorn-ingmanson/thefroject-plugins/agent-creator"><img src="https://agentmods.dev/badge/skills/bjorn-ingmanson/thefroject-plugins/agent-creator.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 | $0.00076 | $0.00954 |
| Opus 5.5 | $0.00030 | $0.00382 |
| Sonnet 5.5 | $0.00015 | $0.00191 |
| Haiku 4.5 | $0.00008 | $0.00095 |
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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Creator
Design Claude Code sub-agents through a short interview, then generate the agent file. Agents are best when their job, tool restrictions, and context boundary are crisp.
Gather Context First
- Read
context/for project conventions and existing agent patterns - Scan
.claude/agents/for existing agents — avoid duplicates, match the file style - Identify the workspace's project type (software, marketing, sales, ops, etc.) — this shapes which tools the agent should have
The Interview
Run these in order. Don't generate the agent until all five answers are clear.
1. What is the one job?
A good agent does one thing well. If the answer to "what does this agent do?" needs the word "and," push back.
| Weak (multi-job) | Strong (one job) |
|---|---|
| "Reviews code and writes tests and documents APIs" | "Reviews code for bugs and security issues" |
| "Handles customer questions and updates the CRM" | "Drafts customer replies in our voice" |
| "Plans the week and tracks progress" | "Generates a weekly plan from quarterly priorities" |
2. What does the agent need to read?
List the files, directories, or external sources required. Be specific:
- Files in
outputs/transcripts/? - Active plans in
plans/? - The git diff?
- A specific reference doc?
Reading scope determines context size. Smaller scope means faster, more focused agents.
3. What does the agent produce?
The output should be one of:
- A specific file path (e.g.
outputs/reviews/<pr>.md) - A structured response shown to the user (markdown report, JSON)
- An action taken on the system (file moved, label applied)
If it's "a recommendation," push for the format — "a markdown checklist," "a 3-bullet summary."
4. Which tools does it need?
Default to the smallest tool surface that gets the job done:
| Agent type | Typical tools |
|---|---|
| Read-only research / review | Read, Grep, Glob |
| Code writer | Read, Edit, Write, Bash, Grep, Glob |
| Auditor running commands | Read, Grep, Glob, Bash |
| External-API caller | Read + the relevant MCP tool |
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 · 119 lines · 76 tokens per session scan A a592f6945262
agent-creator is a skill published in the GitHub repository bjorn-ingmanson/thefroject-plugins (1 stars, last pushed 4mo ago), licensed MIT. It adds 76 tokens to every session and 954 once invoked, about $0.0003 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 2026-08-31.
agent-creator compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| agent-creatorbjorn-ingmanson/thefroject-plugins | Skill | 1 | 4mo ago | MIT | A | 76 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 4d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |