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150f70f821
Skills can now declare config.yaml settings via metadata.hermes.config in their SKILL.md frontmatter. Values are stored under skills.config.* namespace, prompted during hermes config migrate, shown in hermes config show, and injected into the skill context at load time. Also adds the llm-wiki skill (Karpathy's LLM Wiki pattern) as the first skill to use the new config interface, declaring wiki.path. Skill config interface (new): - agent/skill_utils.py: extract_skill_config_vars(), discover_all_skill_config_vars(), resolve_skill_config_values(), SKILL_CONFIG_PREFIX - agent/skill_commands.py: _inject_skill_config() injects resolved values into skill messages as [Skill config: ...] block - hermes_cli/config.py: get_missing_skill_config_vars(), skill config prompting in migrate_config(), Skill Settings in show_config() LLM Wiki skill (skills/research/llm-wiki/SKILL.md): - Three-layer architecture (raw sources, wiki pages, schema) - Three operations (ingest, query, lint) - Session orientation, page thresholds, tag taxonomy, update policy, scaling guidance, log rotation, archiving workflow Docs: creating-skills.md, configuration.md, skills.md, skills-catalog.md Closes #5100 |
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| .. | ||
| __init__.py | ||
| anthropic_adapter.py | ||
| auxiliary_client.py | ||
| builtin_memory_provider.py | ||
| context_compressor.py | ||
| context_references.py | ||
| copilot_acp_client.py | ||
| credential_pool.py | ||
| display.py | ||
| insights.py | ||
| memory_manager.py | ||
| memory_provider.py | ||
| model_metadata.py | ||
| models_dev.py | ||
| prompt_builder.py | ||
| prompt_caching.py | ||
| redact.py | ||
| skill_commands.py | ||
| skill_utils.py | ||
| smart_model_routing.py | ||
| subdirectory_hints.py | ||
| title_generator.py | ||
| trajectory.py | ||
| usage_pricing.py | ||