2cc766aabe
Port the sssf skill from ~/.agents/skills/sssf into this repo so it can be distributed and installed with the skills CLI (skills add INDigitalStudio/skills --skill sssf). - Copy the skill (SKILL.md, cookbooks, references, scripts, templates, and the visualizer app source) into sssf/. - Gitignore build/runtime artifacts: the visualizer's node_modules/ and dist/, Python bytecode, and the machine-specific repos.json. - Make the skill location-independent: install.py now stamps the skill's real path into the stamped justfile's skill_dir (replacing the hardcoded ~/.agents/skills/sssf), so 'just obs' finds the visualizer wherever the CLI installed the skill. - Update cookbooks to use <skill>/scripts/... instead of the hardcoded path, and document the skills CLI install command. - Update the repo README with install instructions.
36 lines
1.1 KiB
Python
Executable file
36 lines
1.1 KiB
Python
Executable file
#!/usr/bin/env -S uv run
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# /// script
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# dependencies = ["pydantic", "python-dotenv", "pyyaml", "rich"]
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# ///
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"""ADW Validate — check the config without running anything.
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Loads the roster and validates every agent: the name resolves, the coding
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agent is implemented, the prompt files exist, and the model resolves in the
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harness's catalog. Exits 0 on success, 1 with a list of problems otherwise.
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Usage:
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uv run adws/adw_validate.py [--config adws/adw_sssf_config/sssf.config.yaml]
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"""
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import argparse
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import sys
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from adw_modules import agents
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def main(config: str = "adws/adw_sssf_config/sssf.config.yaml") -> int:
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cfg = agents.load_config(config)
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names = [a.name for a in cfg.agents]
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if not names:
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print(f"config {config} declares no agents")
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return 1
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agents.validate(cfg, names)
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print(f"config OK; agents: {', '.join(names)}")
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return 0
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument("--config", default="adws/adw_sssf_config/sssf.config.yaml")
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args = parser.parse_args()
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sys.exit(main(args.config))
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