agentlas-goal

agentlas-goal is a command for Claude Code from agentlas-ai/Agentlas-OS. It costs 18 tokens per session (148 once invoked), scanned A, original, Apache-2.0.

A command that adds a plan tree and KPI check to the host's `/goal`, by following the instructions in a nearby `hep-goal.md` file. A KPI, or key performance indicator, is a number used to judge whether work is producing the intended result.

In plain words
What is it for?
Use it to run the same goal-planning workflow as `hep-goal`, including plans with strategies, tactics, and measurable results.
Why use it?
It gives the command a single source of instructions instead of allowing it to create its own workflow from memory. The plan keeps longer goals and their measurements explicit.

Command for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to run the same goal-planning workflow as hep-goal, including plans with strategies, tactics, and measurable results.

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Install with agentmods
npx agentmods add commands/agentlas-ai/agentlas-os/agentlas-goal
About the project

Agentlas OS is a local-first system for creating, storing, borrowing, and running specialist AI agents and temporary agent teams through supported hosts and models. It serves people who want reusable agents that remain available across computers and model workspaces, and the catalogue contains its skills, commands, hooks, agents, instructions, plugin, and rule.

agentlas-ai/Agentlas-OS · 1,602 stars · on GitHub · agentlas.cloud

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.

Clone the repo
git clone --depth 1 https://github.com/agentlas-ai/Agentlas-OS

Made for: Claude Code.

Wrote 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.

agentmods badge for agentlas-goal

README.md
[![agentmods](https://agentmods.dev/badge/commands/agentlas-ai/agentlas-os/agentlas-goal/github.svg)](https://agentmods.dev/commands/agentlas-ai/agentlas-os/agentlas-goal)
Your own site
<a href="https://agentmods.dev/commands/agentlas-ai/agentlas-os/agentlas-goal"><img src="https://agentmods.dev/badge/commands/agentlas-ai/agentlas-os/agentlas-goal/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.

agentmods 80×15 button for agentlas-goal

Your own site · 80×15
<a href="https://agentmods.dev/commands/agentlas-ai/agentlas-os/agentlas-goal"><img src="https://agentmods.dev/badge/commands/agentlas-ai/agentlas-os/agentlas-goal.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 148 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00018 $0.00148
Opus 5.5 $0.00007 $0.00059
Sonnet 5.5 $0.00004 $0.00030
Haiku 4.5 $0.00002 $0.00015

Measured yesterday against content hash 8b319a8dd932, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agentlas-goal 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.

.claude/commands/agentlas-goal.md · 11 lines

What it actually says

/agentlas-goal

Identical to /hep-goal and /agentlas goal <request>. Locate the file named hep-goal.md in the exact same directory this file was loaded from, read it, and follow its instructions exactly — treating everything typed after /agentlas-goal as that command's request.

Do not improvise a separate workflow and do not summarize hep-goal.md from memory; that file is the sole authority for this command's behavior.

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 · 11 lines · 18 tokens per session scan A 8b319a8dd932

Subscribe to this mod's changes

agentlas-goal is a command published in the GitHub repository agentlas-ai/Agentlas-OS (1,602 stars, last pushed yesterday), licensed Apache-2.0. It adds 18 tokens to every session and 148 once invoked, about $0.0001 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 2026-10-17.