generate_agent

An agent-template generator that gathers your requirements and turns them into instructions for a specialized coding agent.

In plain words
What is it for?
Use it to plan, name, review, and finalize a custom agent after answering its questions and confirming the result.
Why use it?
It helps remove ambiguity when defining what an agent should do, which tools it should use, and how it should respond.

Agent

Install

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.

agentmods
npx agentmods add agents/ai-driven-dev/framework/01-generate-agent
Clone the repo
git clone --depth 1 https://github.com/ai-driven-dev/framework
Per session 14 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 368 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00014 $0.00368
Opus 5 $0.00007 $0.00184
Sonnet 5 $0.00003 $0.00074
Haiku 4.5 $0.00001 $0.00037

Measured yesterday against content hash df5c28f78dc9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

generate_agent 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 yesterday.

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.

cli/tests/fixtures/framework-real/plugins/aidd-context/skills/03-context-generate/actions/agents/01-generate-agent.md · 50 lines

What it actually says

Goal

Generate a specialized agent template tailored to specific user requirements.

Context

Coordination with other agents

@../../references/agents-coordination.md

Agent template

@../../assets/agents/agent-template.md

AI Mapping

Apply tool-native conventions for agent file paths, naming, and extensions.

@../../references/ai-mapping.md

Rules

  • Input and Output for the agent MUST be ULTRA concise and precise.
  • Ask clarifying questions if the user's request is ambiguous or lacks detail.
  • When mentioning templates in aidd_docs, always provide full path

Instruction steps

  1. Ask following questions to the user until you gather all necessary information in agent's template.
    1. Discuss with the user until you have a clear understanding of the agent's purpose, tools, and instructions.
    2. Use the gathered information to fill in the agent template.
  2. Review the generated agent to ensure it is straightforward with 0 ambiguity.
    1. Affect a note between 1 and 10 to the generated agent based on its relevance and completeness.
  3. Wait for user confirmation before finalizing the agent.
  4. Propose 3 real first names for the agent, each name must be short and catchy, making sense with the agent's purpose (could be word game, acronym, etc.).
  5. Provide the completed agent template as the final output, written to the AI tool's native agents directory as <generated-agent-name>.md.
  6. Add the new prompt into the @aidd_docs/CATALOG.md to keep documentation up to date.
Changes

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.

  1. yesterday First seen · 50 lines · 14 tokens per session scan A df5c28f78dc9

Subscribe to this mod's changes

generate_agent is an agent published in the GitHub repository ai-driven-dev/framework (445 stars, last pushed yesterday), licensed MIT. It adds 14 tokens to every session and 368 once invoked, about $0.0001 per session on Opus 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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