Borrowing it
Nothing to install: this file belongs to 1cFE/fusion-tea. 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/1cFE/fusion-tea/main/.agents/skills/quick-model/SKILL.mdgit clone --depth 1 https://github.com/1cFE/fusion-teaWrote 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/1cfe/fusion-tea/quick-model)<a href="https://agentmods.dev/skills/1cfe/fusion-tea/quick-model"><img src="https://agentmods.dev/badge/skills/1cfe/fusion-tea/quick-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/1cfe/fusion-tea/quick-model"><img src="https://agentmods.dev/badge/skills/1cfe/fusion-tea/quick-model.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 | $0.00019 | $0.00436 |
| Opus 5.5 | $0.00008 | $0.00174 |
| Sonnet 5.5 | $0.00004 | $0.00087 |
| Haiku 4.5 | $0.00002 | $0.00044 |
Grade A, and why
quick-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 24d 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
Before executing this skill, read .agentic-mbse/claude.md in Claude Code or .agentic-mbse/codex.md in Codex. Resolve supporting paths from this skill’s installed directory; keep generated outputs in the project or a temporary directory. Read referenced skills from .agents/skills/<name>/SKILL.md when their guidance is needed.
Quick Model
Make an understood local correction with proportionate evidence. This is the Trivial entry point; it creates no new work-item directory or item state.
Read the affected model and enough source/consumer context to understand the change. Judge scope by semantic uncertainty and impact. A companion test or synchronized family copy does not by itself require Standard work; a small edit that changes a physical assumption or shared interface may.
State the change and its basis, using the user's existing authorization. If a consequential architectural choice, source conflict, or broader outcome emerges, apply “Process Selection” in modeling_project/MODELING_PROCESS.md before dependent changes. Add the needed review or investigation; create a Standard record when scope tracking needs it, without automatically running every stage.
Read relevant project requirements and use the technical-pattern table in modeling_project/MODELING_PROCESS.md to load guidance for the constructs being changed, unless already current. Maintain affected existing traceability and verification records through native PM operations. Apply the correction using project conventions. Verify the affected behavior and relevant consumers, including a counterexample or source check when fixing a defect. Use model-validation to select checks; report what ran and what remains unverified. Keep the rationale and evidence in the change record or an existing project artifact so the correction is traceable.
Report the result concisely. Follow the canonical modeling_project/MODELING_PROCESS.md when the work needs a larger scope.
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.
- 24d ago Changed · -7 lines 84a4247da6ac
- 1mo ago First seen · 31 lines · 19 tokens per session scan A b2fc65fb9ca2
quick-model is a skill published in the GitHub repository 1cFE/fusion-tea (5 stars, last pushed 24d ago), licensed MIT. It adds 19 tokens to every session and 436 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 2026-09-29.
quick-model compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| quick-model1cFE/fusion-tea | Skill | 5 | 24d ago | MIT | A | 19 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |