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| # commando-tower-v0 | |
| Minimal local operator cockpit for agentic projects. | |
| ## Commands | |
| ```bash | |
| python tower.py status | |
| python tower.py focus <project> | |
| python tower.py add-decision "<text>" | |
| python tower.py add-run --project X --harness Y --goal Z | |
| python tower.py pause <project> | |
| ``` | |
| ## GH Token Furnace Harness | |
| This repo can be used as a control surface for issue-based agent work. The harness contract is: | |
| ```text | |
| Issue -> Branch -> Artifact -> Tests -> PR -> Review | |
| ``` | |
| Start with: | |
| - `AGENTS.md` for repo-level agent instructions | |
| - `AGENT_JOB_TEMPLATE.md` for issue bodies | |
| - `AGENT_RESULT_TEMPLATE.md` for required run output | |
| - `.github/ISSUE_TEMPLATE/agent_job.yml` for GitHub issue creation | |
| - `.github/PULL_REQUEST_TEMPLATE.md` for PR review boundaries | |
| - `docs/GH_TOKEN_FURNACE_HARNESS.md` for the full operating model | |
| Optional GitHub label setup: | |
| ```bash | |
| scripts/ensure-agent-labels.sh | |
| ``` | |
| Local verification: | |
| ```bash | |
| bash scripts/verify.sh | |
| ``` | |
| Recommended bootstrap order: | |
| 1. Merge the harness bootstrap PR. | |
| 2. Run `scripts/ensure-agent-labels.sh`. | |
| 3. Open a scoped issue from `.github/ISSUE_TEMPLATE/agent_job.yml`. | |
| 4. Work on `agent/issue-<id>-<slug>`. | |
| 5. Store run artifacts in `artifacts/issue-<id>/`. | |
| ## Files | |
| - `tower.yaml` stores state. | |
| - `focus.md` shows current focus. | |
| - `decisions.md` stores human decisions. | |
| - `runs/` stores run notes. | |
| ## Non-goals | |
| No database. No web UI. No background processes. No autonomous orchestration. | |