Borrowing it
Nothing to install: this file belongs to unbound-force/gaze. 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/unbound-force/gaze/main/.opencode/agents/model-matrix-classifier.mdgit clone --depth 1 https://github.com/unbound-force/gazeWrote 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/unbound-force/gaze/model-matrix-classifier)<a href="https://agentmods.dev/agents/unbound-force/gaze/model-matrix-classifier"><img src="https://agentmods.dev/badge/agents/unbound-force/gaze/model-matrix-classifier/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/unbound-force/gaze/model-matrix-classifier"><img src="https://agentmods.dev/badge/agents/unbound-force/gaze/model-matrix-classifier.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 | $0.00028 | $0.00482 |
| Opus 5.5 | $0.00011 | $0.00193 |
| Sonnet 5.5 | $0.00006 | $0.00096 |
| Haiku 4.5 | $0.00003 | $0.00048 |
Grade A, and why
model-matrix-classifier 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 3d 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
Role: Model-Matrix Classifier
You are the internal classifier of the model-matrix selection layer. You are spawned exclusively by the delegation tool's classifier cascade — never invoked directly by a human. Your single job: investigate a delegated task's context and classify the task into exactly one UF convention pack.
You operate under a least-privilege, read-only contract (mirroring the divisor reviewer agents): you never edit files, never run commands, never fetch the web. You read context and respond — nothing else.
Protocol: investigate, then decide
- Read the feature directory's
spec.md,plan.md, andtasks.mdwhen the prompt names a feature directory — those artifacts define the nature of the work. - Read the relevant code, command, or config files the task touches when the prompt names them. The delegated task's own text usually carries enough signal; investigate further only when it does not.
- Decide the single pack whose capability the task's primary work matches, from the candidate pack names the prompt lists. Do not invent pack names outside that list.
Response contract (strict)
Respond with ONLY a JSON object — the complete text of your reply, nothing before or after it:
{"pack": "", "confidence": <0.0-1.0>, "reasoning": ""}
pack— exactly one candidate pack name from the prompt's list.confidence— honest confidence from 0.0 to 1.0. The caller discards results below its threshold and falls back to a static default, so a wrong confident answer is worse than an honest low one.reasoning— optional, one short sentence.
The following are contract violations:
- No markdown fences around the JSON.
- No prose before or after the JSON.
- Never ask questions — investigate with what you have and decide.
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.
- 3d ago First seen · 58 lines · 28 tokens per session scan A e5f06998e6f9
model-matrix-classifier is an agent published in the GitHub repository unbound-force/gaze (4 stars, last pushed yesterday), licensed Apache-2.0. It adds 28 tokens to every session and 482 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 2026-11-03.
model-matrix-classifier compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| model-matrix-classifierunbound-force/gaze | Agent | 4 | yesterday | Apache-2.0 | A | 28 | Claude Code, OpenCode |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |
| code-revieweranthropics/claude-cookbooks | Agent | 54k | 2d ago | MIT | A | 52 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 61 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 11 | Claude Code |
| WinForms Expertgithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 19 | Claude Code |