affaan-m/ECC · error · RuntimeError

classifier subprocess failed (rc={result.returncode}): {resu

Error message

classifier subprocess failed (rc={result.returncode}): {result.stderr[:500]}

What it means

Error "classifier subprocess failed (rc={result.returncode}): {result.stderr[:500]}" thrown in affaan-m/ECC.

Source

Thrown at skills/skill-comply/scripts/classifier.py:54

        for i, event in enumerate(trace)
    )

    prompt_template = (PROMPTS_DIR / "classifier.md").read_text()
    prompt = (
        prompt_template
        .replace("{steps_description}", steps_desc)
        .replace("{tool_calls}", tool_calls)
    )

    result = subprocess.run(
        ["claude", "-p", prompt, "--model", model, "--output-format", "text"],
        capture_output=True,
        text=True,
        timeout=60,
    )

    if result.returncode != 0:
        raise RuntimeError(
            f"classifier subprocess failed (rc={result.returncode}): "
            f"{result.stderr[:500]}"
        )

    return _parse_classification(result.stdout)


def _parse_classification(text: str) -> dict[str, list[int]]:
    """Parse LLM classification output into {step_id: [event_indices]}."""
    text = text.strip()
    # Strip markdown fences
    lines = text.splitlines()
    if lines and lines[0].startswith("```"):
        lines = lines[1:]
    if lines and lines[-1].startswith("```"):
        lines = lines[:-1]
    cleaned = "\n".join(lines)

View on GitHub (pinned to 01e15490f0)

Solutions

1. Read the stderr tail in the message for the underlying cause (auth, model, or network failure from the claude CLI).
2. Verify the claude CLI is installed and authenticated: run 'claude -p "ping"' manually to reproduce.
3. Confirm the requested model is allowed and available; retry transient network failures.
4. Ensure the prompt size and the 60s timeout are adequate; reduce the input or increase the timeout in classifier.py if needed.

Example fix

claude -p "ping" --model <allowed-model> --output-format text  # reproduce, fix auth/model, then rerun classifier

When it happens

Trigger: Thrown at skills/skill-comply/scripts/classifier.py:54 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of affaan-m/ECC@01e15490f0 (2026-08-13). Data as JSON: /api/errors/3f9e782a9e91d2be. Report an issue: GitHub.