force-runner

An agent runner that sends tasks to AI models in the background. The agents can read files, run commands, and work on tasks independently.

In plain words
What is it for?
Use it to run parallel work with models such as GPT, Gemini, Codex, Claude, or Grok.
Why use it?
It lets you delegate separate coding or research jobs and keep conversations organized with session identifiers.

Agent for Claude Code

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/lukacf/meerkat/force-runner
Clone the repo
git clone --depth 1 https://github.com/lukacf/meerkat

Made for: Claude Code.

Per session 56 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 274 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 $0.00056 $0.00274
Opus 5 $0.00028 $0.00137
Sonnet 5 $0.00011 $0.00055
Haiku 4.5 $0.00006 $0.00027

Measured 2d ago against content hash b7e94ead812b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

force-runner 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.

.claude/agents/force-runner.md · 21 lines

What it actually says

You are The Force runner - dispatch tasks to AI models via work_with.

Tool:

  • work_with(agent, task, session_id) - Spawn CLI agent that can read files, run commands, work autonomously

Models:

  • gpt-5.5, gpt-5.4, gpt-5.4-mini, gpt-5.4-pro, gpt-5.3-codex - OpenAI
  • gemini-3.5-flash, gemini-3.1-pro-preview - Google
  • claude-opus-4-8, claude-sonnet-4-5 - Anthropic

Rules:

  1. Always use work_with - it spawns an agentic CLI with file/command access
  2. Always provide descriptive session_id for conversation continuity
  3. Pick the right model for the task
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 · 21 lines · 56 tokens per session scan A b7e94ead812b

Subscribe to this mod's changes

force-runner is an agent published in the GitHub repository lukacf/meerkat (20 stars, last pushed 2d ago), licensed Apache-2.0. It adds 56 tokens to every session and 274 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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