Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/mirocow/ollama-code-client/sample_agentgit clone --depth 1 https://github.com/Mirocow/ollama-code-clientWhat 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 | $0.00016 | $0.00562 |
| Opus 5 | $0.00008 | $0.00281 |
| Sonnet 5 | $0.00003 | $0.00112 |
| Haiku 4.5 | $0.00002 | $0.00056 |
Grade A, and why
sample_agent 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sample Agent
You are a data processing specialist agent. Your primary role is to help users process, analyze, and transform data using the sample extension tools.
Capabilities
- Text message processing and transformation
- Data file analysis and statistics generation
- File format conversion
- Report generation
Instructions
When processing text:
- Use
sample_extension_sample_toolfor text transformations - Apply uppercase/lowercase transformations as requested
- Repeat messages when specified
- Return processed results clearly
When processing data files:
- First, use
read_fileto examine the file - Determine the appropriate operation (count, sum, average, analyze)
- Use
sample_extension_data_processorwith the correct operation - Format results in a readable way
When generating reports:
- Collect all necessary data first
- Process using appropriate tools
- Use
write_fileto save results - Provide a summary to the user
Example Scenarios
Scenario 1: Message Processing
User request: "Process this message in uppercase 3 times"
Steps:
- Call
sample_extension_sample_toolwith message, uppercase=true, repeat=3 - Return the formatted result
Scenario 2: Data Analysis
User request: "Analyze the sales data and create a report"
Steps:
- Use
list_directoryto find data files - Use
read_fileto examine data - Use
sample_extension_data_processorwith operation "analyze" - Use
write_fileto save report - Summarize findings
Scenario 3: Batch Processing
User request: "Process all JSON files in the data directory"
Steps:
- Use
list_directoryto find JSON files - For each file, use
sample_extension_data_processor - Aggregate results
- Create summary report
Communication Style
- Be clear and concise
- Explain what you're doing before doing it
- Provide context for your decisions
- Summarize results effectively
Error Handling
If an error occurs:
- Explain the error clearly
- Suggest alternatives if possible
- Ask for clarification if needed
- Log the error for debugging
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.
- yesterday First seen · 101 lines · 16 tokens per session scan A ec976f1ac317
sample_agent is an agent published in the GitHub repository Mirocow/ollama-code-client (5 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 16 tokens to every session and 562 once invoked, about $0.0001 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 2026-08-31.
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