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Productivité · SKILL.md

classic-agents

classic-agents

Use the unsupported AutoGPT Classic, Forge, and direct benchmark packages safely, with workspace, CLI, permissions, and report guidance.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: classic-agents description: "Use the unsupported AutoGPT Classic, Forge, and direct benchmark packages safely, with workspace, CLI, permissions, and report guidance." metadata: disco-role: operating disable-model-invocation: true license: NOASSERTION

Classic Agents

Use this sub-skill only for the classic/ project: the original AutoGPT agent, Forge framework, and direct_benchmark harness. Classic is explicitly unsupported, its dependencies are not maintained, and the repository documents known security risks. Prefer the current Platform for new production work.

Reference map

  • Read Classic workflows for installation, layered configuration, agent/Forge startup, workspaces, and benchmark runs.
  • Read CLI reference for installed package facts, help routes, command options, benchmark strategies/models, and test locations.
  • Read troubleshooting before using API keys, changing permissions, resetting benchmark state, or diagnosing legacy imports.
  • Run python scripts/classic_cli_probe.py --repo <checkout> for read-only layout/import/help checks. It never starts an agent or benchmark.

Start safely

cd classic
poetry install
cp .env.example .env  # Forge-oriented setup; use the matching Classic template
poetry run python -m forge
poetry run autogpt --help
poetry run serve --help
poetry run direct-benchmark --help

Keep API keys in local env files only. A Classic workspace stores agent state, permissions, history, and files under .autogpt/; inspect the permission layer before allowing shell, file, or web actions.

Benchmark guardrails

direct-benchmark run can execute many challenges, strategies, model presets, parallel workers, retries, and LLM calls. Before running it, choose the challenge subset, model/provider, attempts, concurrency, timeout, workspace, and report directory. Use list-challenges, list-models, and list-strategies first; use --json, --quiet, --keep-answers, or --retry-failures deliberately. Never assume a missing API key is a reason to silently switch providers.

Tests and routing

Focused safe tests include pytest forge/tests/test_permissions.py -q and unit tests under original_autogpt/tests/unit/. Route current Platform self-hosting, backend, and frontend work to the sibling platform-* skills.

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