Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add primeline-ai/universal-planning-framework/plugin install universal-planning-frameworkWrote 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/skills/primeline-ai/universal-planning-framework/vehicle-selection)<a href="https://agentmods.dev/skills/primeline-ai/universal-planning-framework/vehicle-selection"><img src="https://agentmods.dev/badge/skills/primeline-ai/universal-planning-framework/vehicle-selection/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/skills/primeline-ai/universal-planning-framework/vehicle-selection"><img src="https://agentmods.dev/badge/skills/primeline-ai/universal-planning-framework/vehicle-selection.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 | $0.00060 | $0.00195 |
| Opus 5 | $0.00030 | $0.00097 |
| Sonnet 5 | $0.00012 | $0.00039 |
| Haiku 4.5 | $0.00006 | $0.00019 |
Grade A, and why
vehicle-selection 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 9d 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
Execution-vehicle selection
The full rubric ships with this plugin. Read it before assigning a vehicle to any plan phase:
${CLAUDE_PLUGIN_ROOT}/.claude/rules/vehicle-selection.md
Two rules that hold regardless:
- Vehicle inference is always silent. Asking the user which vehicle to use is a kill criterion, not a clarifying question.
- Every phase gets a vehicle and a model tier.
/plan-reviewflags an under-specified vehicle and a phase routed to a needlessly expensive tier.
The planning rulebook this serves is in the [[universal-planning]] skill.
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.
- 9d ago First seen · 21 lines · 60 tokens per session scan A 6065d76c74d8
vehicle-selection is a skill published in the GitHub repository primeline-ai/universal-planning-framework (45 stars, last pushed 15d ago), licensed MIT. It adds 60 tokens to every session and 195 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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