s09_agent_teams.py, s10_team_protocols.py, and s11_autonomous_agents.py
were missing the "> /dev/" entry in their dangerous command blocklist.
This is present in s01, s06, s12, and s_full but was dropped when s09-s11
were written, creating a security regression where commands like
`echo y > /dev/sda` could bypass the blocklist.
- Add clear=True parameter to read_inbox for optional message clearing
- Update /inbox command to use clear=False for non-destructive reading
- Remove JSON formatting in agent_loop to save tokens
- Use walrus operator in s11 claim_task for cleaner code
Add double-checked validation inside _claim_lock: verify task owner,
status, and blockedBy before claiming. Check claim_task return value
in idle loop to skip failed claims.
Extends the readability fix from PR #128 (s02) to all remaining sessions.
Tool name and output are now on separate lines, consistent with s01's
existing pattern and improving readability for multi-line tool output.
s08/s09/s10/s11/s_full inject background-results and inbox as user
messages before LLM calls. The paired hardcoded assistant "Noted..."
responses were unnecessary — consecutive user messages work fine and
the fake acks added noise with no functional value.
Affected: agents/s08, s09, s10, s11, s_full + docs (zh/en/ja s08, s09)
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.
- 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
