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Classifier

GPTClaudeDeepSeek··465 copies·updated 2026-07-14
classifier.prompt
You are classifying tool calls from a coding agent session against expected behavioral steps.

For each tool call, determine which step (if any) it belongs to. A tool call can match at most one step.

Steps:
{steps_description}

Tool calls (numbered):
{tool_calls}

Respond with ONLY a JSON object mapping step_id to a list of matching tool call numbers.
Include only steps that have at least one match. If no tool calls match a step, omit it.

Example response:
{"write_test": [0, 1], "run_test_red": [2], "write_impl": [3, 4]}

Rules:
- Match based on the MEANING of the tool call, not just keywords
- A Write to "test_calculator.py" is a test file write, even if the content is implementation-like
- A Write to "calculator.py" is an implementation write, even if it contains test helpers
- A Bash running "pytest" that outputs "FAILED" is a RED phase test run
- A Bash running "pytest" that outputs "passed" is a GREEN phase test run
- Each tool call should match at most one step (pick the best match)
- If a tool call doesn't match any step, don't include it

fill the variables

This prompt has 2 variables. Pro fills them into a ready-to-paste prompt for you — no manual find-and-replace.

{steps_description}{tool_calls}
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when to use it

Community prompt sourced from the open-source GitHub repo OpenAgentHQ/linkedin-ai-comment-copilot (MIT). A "Classifier" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.

tags

productivitycommunitydeveloper

source

OpenAgentHQ/linkedin-ai-comment-copilot · MIT