The reminder was inserted at index 0, placing a text block before
tool_result blocks in the user message content array. Use append
to keep the reminder at the end, consistent with message ordering.
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
_parse_frontmatter used manual line splitting which only handled
simple key: value pairs. Multi-line block scalars (|) returned
only '|' as the value, dropping all subsequent indented lines.
Replace with yaml.safe_load() to correctly parse all YAML syntax.
Add pyyaml>=6.0 to requirements.txt.
When running s_full.py directly, the LLM's text responses are not printed to the terminal. Users cannot see the assistant's replies in the REPL, making the interactive loop unusable.
Separate tool name and output for better readability.
Before:
> read_file: anthropic>=0.25.0
python-dotenv>=1.0.0
After:
> read_file:
anthropic>=0.25.0
python-dotenv>=1.0.0
Comprehensive rewrite establishing the harness engineering narrative
across the entire repository.
README (EN/ZH/JA): added "The Model IS the Agent" manifesto with
historical proof (DQN, OpenAI Five, AlphaStar, Tencent Jueyu),
"What an Agent Is NOT" critique, harness engineer role definition,
"Why Claude Code" as masterclass in harness design, and universe
vision. Consistent framing: model = driver, harness = vehicle.
docs (36 files, 3 languages): injected one-line "Harness layer"
callout after the motto in every session document (s01-s12).
agents (13 Python files): added harness framing comment before
each module docstring.
skills/agent-philosophy.md: full rewrite aligned with harness
narrative.
- s03: inject reminder into tool_result instead of mutating history (#37)
- s05: SkillLoader uses rglob("SKILL.md") + frontmatter name priority,
matching Agent Skills standard (#30, PR #34)
- CI: upgrade actions/checkout and actions/setup-node to v6 (#36)
- docs: update s05 skill directory structure in all 3 languages
- 11 sessions from basic agent loop to autonomous teams
- Python MVP implementations for each session
- Mental-model-first docs in en/zh/ja
- Interactive web platform with step-through visualizations
- Incremental architecture: each session adds one mechanism
