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 agentmods add agents/choria-io/fisk-ai/basicgit clone --depth 1 https://github.com/choria-io/fisk-aiWhat 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 | $0.00000 | $0.01717 |
| Opus 5 | $0.00000 | $0.00859 |
| Sonnet 5 | $0.00000 | $0.00343 |
| Haiku 4.5 | $0.00000 | $0.00172 |
Grade A, and why
basic 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.
How it starts
The opening of the file, as written. The whole thing — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
+++ title = "Basic agent" description = "build a working agent from a CLI tool and run it" toc = true weight = 10 +++
This example builds an AI agent that speaks in cowsay bubbles.
The steps make a quick CLI application using App Builder and then drive it in various ways using the LLM.
The example needs an Anthropic API key, the cowsay application (try brew install cowsay) and fisk-ai installed.
Creating a CLI tool
This example uses Choria Application Builder to create a basic CLI tool that can say and think. Any command line tool built with Fisk works.
First create an ABTaskFile:
name: cowsay
description: Tools for the Cowsay LLM Agent
author: [email protected]
commands:
- name: say
description: Say something using a talking cow, does not accept emoji
type: exec
arguments:
- name: message
description: The message to send to the terminal
required: true
validate: is_shellsafe(value)
command: |
{{ default .Config.Cowsay "cowsay" }} {{ .Arguments.message | escape }}
- name: think
description: Think something using a thinking cow, does not accept emoji
type: exec
arguments:
- name: message
description: The message to send to the terminal
required: true
validate: is_shellsafe(value)
command: |
cowthink {{ .Arguments.message | escape }}
Now install appbuilder:
$ brew tap choria-io/tap
$ brew install appbuilder
Then confirm the CLI tool works:
$ abt
usage: abt [<flags>] <command> [<args> ...]
Tools for the Cowsay LLM Agent
Help: https://choria-io.github.io/appbuilder
Commands:
help [<command>...]
say <message>
think <message>
$ abt say 'Hello AI'
__________
< Hello AI >
----------
\ ^__^
\ (oo)\_______
(__)\ )\/\
||----w |
|| ||
Creating an LLM agent
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.
- 2d ago First seen · 215 lines · 0 tokens per session scan A ee953c907476
basic is an agent published in the GitHub repository choria-io/fisk-ai (5 stars, last pushed 3d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,717 tokens. 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.
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