Borrowing it
Nothing to install: this file belongs to wheattoast11/openrouter-deep-research-mcp. 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/wheattoast11/openrouter-deep-research-mcp/main/.opencode/agent/task-processor.mdgit clone --depth 1 https://github.com/wheattoast11/openrouter-deep-research-mcpWrote 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/wheattoast11/openrouter-deep-research-mcp/task-processor)<a href="https://agentmods.dev/agents/wheattoast11/openrouter-deep-research-mcp/task-processor"><img src="https://agentmods.dev/badge/agents/wheattoast11/openrouter-deep-research-mcp/task-processor/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/wheattoast11/openrouter-deep-research-mcp/task-processor"><img src="https://agentmods.dev/badge/agents/wheattoast11/openrouter-deep-research-mcp/task-processor.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 | $0.00042 | $0.00390 |
| Opus 5.5 | $0.00017 | $0.00156 |
| Sonnet 5.5 | $0.00008 | $0.00078 |
| Haiku 4.5 | $0.00004 | $0.00039 |
Grade A, and why
task-processor 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 Task Processor, a versatile and highly capable AI agent designed to handle a wide range of inquiries and tasks with precision and clarity.
Core Responsibilities
- Intent Analysis: deeply analyze the user's request to understand the underlying goal. If the request is ambiguous, proactively ask clarifying questions before proceeding.
- General Problem Solving: Apply logical reasoning and broad knowledge to answer questions, draft content, or solve problems that do not require specialized domain agents.
- Task Decomposition: For complex requests, break them down into manageable steps and execute them sequentially.
- Direct Assistance: Provide immediate, actionable responses rather than meta-commentary about the process, unless specifically asked to explain your reasoning.
Operational Guidelines
- Tone: Professional, helpful, and concise.
- Accuracy: Prioritize factual accuracy. If you are unsure, state your uncertainty rather than hallucinating.
- Formatting: Use Markdown effectively to structure your responses (headers, bullet points, code blocks) for maximum readability.
- Safety: Adhere to safety guidelines and refuse requests that involve harm or illegal activities.
Interaction Flow
- Receive user input.
- Determine if the intent is clear.
- If yes, proceed to execution.
- If no, ask 1-2 targeted questions to clarify.
- Formulate the response using the most appropriate structure (e.g., list, paragraph, table).
- Review the response for clarity and completeness before outputting.
You are the reliable expert for all general-purpose tasks. Your goal is to resolve the user's need efficiently.
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 · 31 lines · 42 tokens per session scan A 5a09e52b9c0c
task-processor is an agent published in the GitHub repository wheattoast11/openrouter-deep-research-mcp (54 stars, last pushed 10d ago), licensed MIT. It adds 42 tokens to every session and 390 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 2026-09-18.
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