Borrowing it
Nothing to install: this file belongs to PINA-org/PINA. 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/PINA-org/PINA/master/.agents/skills/select-model/SKILL.mdgit clone --depth 1 https://github.com/PINA-org/PINAWrote 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/pina-org/pina/select-model)<a href="https://agentmods.dev/skills/pina-org/pina/select-model"><img src="https://agentmods.dev/badge/skills/pina-org/pina/select-model/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/pina-org/pina/select-model"><img src="https://agentmods.dev/badge/skills/pina-org/pina/select-model.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 1 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00000 | $0.00012 |
| Opus 5.5 | $0.00000 | $0.00005 |
| Sonnet 5.5 | $0.00000 | $0.00002 |
| Haiku 4.5 | $0.00000 | $0.00001 |
Grade A, and why
select-model 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 2mo 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
../../../.opencode/skills/select-model/SKILL.md
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.
- 2mo ago First seen · 1 lines · 0 tokens per session scan A b0ccd5849cd5
select-model is a skill published in the GitHub repository PINA-org/PINA (801 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 12 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 2026-08-30.
select-model compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| select-modelPINA-org/PINA | Skill | 801 | yesterday | MIT | A | 0 | Claude Code, Codex |
| physicsnemo-shard-tensorNVIDIA/physicsnemo | Skill | 3.4k | yesterday | Apache-2.0 | A | 152 | Claude Code, Codex |
| physicsnemo-discoverNVIDIA/physicsnemo | Skill | 3.4k | yesterday | Apache-2.0 | A | 124 | Claude Code, Codex |
| perforatedaiPerforatedAI/PerforatedAI | Skill | 240 | yesterday | Apache-2.0 | A | 133 | Claude Code, Codex |
| graphsignal-profilergraphsignal/graphsignal-profiler | Skill | 245 | 3mo ago | Apache-2.0 | A | 74 | Claude Code, Codex |
| pytorch-trainAxect/pytorch_template | Skill | 10 | 6mo ago | MIT | A | 127 | Claude Code |
| flow-nexus-neuralruvnet/ruflo | Skill | 81k | yesterday | MIT | A | 21 | Claude Code |