### Original Dockerfile Source: https://github.com/pinchbench/skill/blob/main/tasks/task_dockerfile_optimization.md This is the initial Dockerfile provided for optimization. It uses a standard Ubuntu base image and installs numerous packages individually. ```docker FROM ubuntu:22.04 RUN apt-get update RUN apt-get install -y python3 RUN apt-get install -y python3-pip RUN apt-get install -y curl RUN apt-get install -y wget RUN apt-get install -y git RUN apt-get install -y vim RUN apt-get install -y nano RUN apt-get install -y build-essential RUN apt-get install -y libpq-dev COPY requirements.txt /app/requirements.txt COPY . /app WORKDIR /app RUN pip3 install -r requirements.txt RUN apt-get install -y nodejs npm EXPOSE 8000 ENV PYTHONUNBUFFERED=1 ENV DEBUG=true CMD ["python3", "manage.py", "runserver", "0.0.0.0:8000"] ``` -------------------------------- ### Linux Syslog Format Example Source: https://github.com/pinchbench/skill/blob/main/assets/logs/README.md Example lines from a standard Linux syslog file, showing system and kernel messages with timestamps. ```text Jun 9 06:06:20 combo syslogd 1.4.1: restart. Jun 9 06:06:20 combo kernel: Linux version 2.6.5-1.358 ``` -------------------------------- ### Hadoop MapReduce Log Format Example Source: https://github.com/pinchbench/skill/blob/main/assets/logs/README.md Example of a log entry from a Hadoop MapReduce application, showing the MRAppMaster creation. ```text 2015-10-17 15:37:56,547 INFO [main] org.apache.hadoop.mapreduce.v2.app.MRAppMaster: Created MRAppMaster ``` -------------------------------- ### OpenSSH Authentication Log Format Example Source: https://github.com/pinchbench/skill/blob/main/assets/logs/README.md Example lines from an OpenSSH authentication log, showing invalid user attempts and authentication failures. ```text Dec 10 06:55:46 LabSZ sshd[24200]: Invalid user webmaster from 173.234.31.186 Dec 10 06:55:46 LabSZ sshd[24200]: pam_unix(sshd:auth): authentication failure ``` -------------------------------- ### Validating API Key Format (OpenAI Example) Source: https://github.com/pinchbench/skill/blob/main/tasks/task_byok_best_practices.md Provides a basic function to validate the format of an API key, using OpenAI's key format as an example. This is a preliminary check before attempting to use the key. ```python import re def is_valid_openai_key(api_key): # OpenAI API keys are typically 51 characters long and start with 'sk-' # This is a basic format check, not a guarantee the key is active. if not isinstance(api_key, str): return False return re.match(r'^sk-[a-zA-Z0-9]{48}$', api_key) is not None # Example usage: # test_key_valid = "sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx" # test_key_invalid = "invalid-key" # print(f"'{test_key_valid}' is valid: {is_valid_openai_key(test_key_valid)}") # print(f"'{test_key_invalid}' is valid: {is_valid_openai_key(test_key_invalid)}") ``` -------------------------------- ### NGINX Access Log JSON Format Example Source: https://github.com/pinchbench/skill/blob/main/assets/logs/README.md Example of a JSON-structured log entry for NGINX access, detailing an HTTP GET request. ```json {"time": "17/May/2015:08:05:32 +0000", "remote_ip": "93.180.71.3", "remote_user": "-", "request": "GET /downloads/product_1 HTTP/1.1", "response": 304, "bytes": 0, "referrer": "-", "agent": "Debian APT-HTTP/1.3"} ``` -------------------------------- ### Initialize Express Server and Connect Database Source: https://github.com/pinchbench/skill/blob/main/tasks/task_readme_generation.md Sets up the Express application, defines API routes, and establishes a database connection. Ensure environment variables are configured for port and database access. ```typescript import express from 'express'; import { config } from './config'; import { authRouter } from './routes/auth'; import { tasksRouter } from './routes/tasks'; import { webhookRouter } from './routes/webhooks'; import { connectDb } from './db'; import { logger } from './utils/logger'; const app = express(); app.use(express.json()); app.use('/api/auth', authRouter); app.use('/api/tasks', tasksRouter); app.use('/api/webhooks', webhookRouter); app.get('/health', (_req, res) => res.json({ status: 'ok' })); async function main() { await connectDb(); app.listen(config.port, () => { logger.info(`TaskFlow API listening on port ${config.port}`); }); } main().catch((err) => { logger.error('Failed to start server', err); process.exit(1); }); ``` -------------------------------- ### Run Full Benchmark Suite Source: https://context7.com/pinchbench/skill/llms.txt Execute the entire PinchBench suite against a specified model via OpenRouter. Requires setting the OPENROUTER_API_KEY environment variable. ```bash # Run the full suite against Claude Sonnet 4 via OpenRouter export OPENROUTER_API_KEY=sk-or-... ./scripts/run.sh --model openrouter/anthropic/claude-sonnet-4 ``` -------------------------------- ### HDFS DataNode Log Format Example Source: https://github.com/pinchbench/skill/blob/main/assets/logs/README.md Example of a log entry from an HDFS DataNode, indicating a block receiving operation. ```text 081109 203518 143 INFO dfs.DataNode$DataXceiver: Receiving block blk_-1608999687919862906 ``` -------------------------------- ### Clone and Run PinchBench Source: https://github.com/pinchbench/skill/blob/main/README.md Clone the repository and run benchmarks with a specified model. Model IDs require a provider prefix. ```bash # Clone the skill git clone https://github.com/pinchbench/skill.git cd skill # Run benchmarks with your model of choice ./scripts/run.sh --model openrouter/anthropic/claude-sonnet-4 # Or run specific tasks ./scripts/run.sh --model openrouter/openai/gpt-4o --suite task_calendar,task_stock ``` -------------------------------- ### Load All Tasks with TaskLoader Source: https://context7.com/pinchbench/skill/llms.txt Initialize TaskLoader and load all tasks from the 'tasks/' directory. Uses manifest.yaml if present, otherwise falls back to glob-based discovery. ```python from pathlib import Path from lib_tasks import TaskLoader, Task loader = TaskLoader(Path("tasks")) # Load all tasks (uses manifest.yaml if present, else alphabetical glob) tasks = loader.load_all_tasks() print(f"Loaded {len(tasks)} tasks") # Loaded 53 tasks # Category and core-task metadata populated after manifest load print(loader.categories) # ['productivity', 'research', 'coding', ...] print(loader.category_map) # {'task_calendar': 'productivity', ...} print(loader.core_tasks) # ['task_sanity', 'task_calendar', ...] ``` -------------------------------- ### Apache Error Log Format Example Source: https://github.com/pinchbench/skill/blob/main/assets/logs/README.md Example of a line from an Apache web server error log, including timestamp, log level, and message. ```text [Thu Jun 09 06:07:04 2005] [notice] LDAP: Built with OpenLDAP LDAP SDK ``` -------------------------------- ### Register and Submit Results Source: https://github.com/pinchbench/skill/blob/main/README.md Register for an API token and run benchmarks; results are automatically uploaded. Use --no-upload for local results only. ```bash # Register for an API token (one-time) ./scripts/run.sh --register # Run benchmark — results auto-upload with your token ./scripts/run.sh --model openrouter/anthropic/claude-sonnet-4 ``` -------------------------------- ### Run Benchmark and Auto-Upload Results Source: https://context7.com/pinchbench/skill/llms.txt Execute a benchmark run after registration. Results are automatically uploaded to the PinchBench leaderboard using the saved API token. Provides a submission ID and a view URL upon successful upload. ```bash # Step 2: Run benchmark — results are auto-uploaded with your token ./scripts/run.sh --model openrouter/anthropic/claude-sonnet-4 # Output: Submission ID: abc123 | View at: https://pinchbench.com/... ``` -------------------------------- ### Get All Tasks Source: https://github.com/pinchbench/skill/blob/main/tasks/task_readme_generation.md Retrieves all tasks associated with the authenticated user. Requires the user to be authenticated via the 'authenticate' middleware. ```typescript import { Router } from 'express'; import { db } from '../db'; import { authenticate } from '../middleware/auth'; export const tasksRouter = Router(); tasksRouter.use(authenticate); tasksRouter.get('/', async (req, res) => { const tasks = await db.task.findMany({ where: { userId: req.userId } }); res.json(tasks); }); ```