Borrowing it
Nothing to install: this file belongs to lukacf/meerkat. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/lukacf/meerkat/main/.claude/agents/force-runner.mdgit clone --depth 1 https://github.com/lukacf/meerkatWrote 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.
[](https://agentmods.dev/agents/lukacf/meerkat/force-runner)<a href="https://agentmods.dev/agents/lukacf/meerkat/force-runner"><img src="https://agentmods.dev/badge/agents/lukacf/meerkat/force-runner/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.
<a href="https://agentmods.dev/agents/lukacf/meerkat/force-runner"><img src="https://agentmods.dev/badge/agents/lukacf/meerkat/force-runner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00056 | $0.00274 |
| Opus 5.5 | $0.00022 | $0.00110 |
| Sonnet 5.5 | $0.00011 | $0.00055 |
| Haiku 4.5 | $0.00006 | $0.00027 |
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 1mo 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.
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- OpenAIgemini-3.5-flash,gemini-3.1-pro-preview- Googleclaude-opus-4-8,claude-sonnet-4-5- Anthropic
Rules:
- Always use
work_with- it spawns an agentic CLI with file/command access - Always provide descriptive
session_idfor conversation continuity - Pick the right model for the task
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.
- 1mo ago First seen · 21 lines · 56 tokens per session scan A b7e94ead812b
force-runner is an agent published in the GitHub repository lukacf/meerkat (23 stars, last pushed today), licensed Apache-2.0. It adds 56 tokens to every session and 274 once invoked, about $0.0002 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 2026-08-30.
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