agentify

A workflow for creating dispatchable skills for coding-agent command-line tools installed on a computer, such as Codex, Aider, or Cursor.

In plain words
What is it for?
Use it to discover available coding-agent CLIs, inspect their headless interfaces, and generate a skill for delegating work to each one.
Why use it?
It avoids manually researching each tool by detecting installed agents and checking how each can run tasks without interactive input.

Skill for Claude CodeCodex

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 skills/griffinwork40/agent-framework/agentify
Any agent
npx skills add griffinwork40/agent-framework --skill agentify
Clone the repo
git clone --depth 1 https://github.com/griffinwork40/agent-framework

Made for: Claude Code, Codex.

Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 182 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 $0.00054 $0.00182
Opus 5 $0.00027 $0.00091
Sonnet 5 $0.00011 $0.00036
Haiku 4.5 $0.00005 $0.00018

Measured 2d ago against content hash a1284e2c4db7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agentify 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 2d 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.

skills/agentify/SKILL.md · 10 lines

What it actually says

Sub-agent contract

/contract

Dispatch one sub-agent to detect every coding agent CLI installed on this machine (scan PATH, common install dirs, and package managers; return name + version + help output for each). When it returns, dispatch parallel sub-agents — one per discovered CLI — each reading the CLI's docs and --help output to identify its headless execution interface, then producing a compact SKILL.md following this plugin's conventions: name: <cli>-agent, description that triggers on delegation requests, body that invokes the CLI with $ARGUMENT in headless mode.

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. 2d ago First seen · 10 lines · 54 tokens per session scan A a1284e2c4db7

Subscribe to this mod's changes

agentify is a skill published in the GitHub repository griffinwork40/agent-framework (23 stars, last pushed 7d ago), licensed Apache-2.0. It adds 54 tokens to every session and 182 once invoked, about $0.0003 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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