Summary
Projects
3
Agents
2
Events
24
Green
2
Yellow
0
Red
0
Blocked
0
Projects
3 total Agent Project Control Tower ACT-12 · PASS
Ran a real recurring public-data update trial using the ACT-11 preflight workflow before manually publishing the reviewed update.
Enter ACT-10B for release polish screenshots or ACT-12B for a second recurring update trial.
Artvee Gallery P3B · PASS
Added daily inspiration digest for Artvee Gallery: scripts/build_artvee_daily_digest.py derives a curated digest from P1 outputs without triggering downloads. Supports recent/diverse strategies, deterministic visual analysis, outputs Markdown/HTML and rolling digests.json. Integrated into nightly wrapper with isolated failure handling.
Publish the demo to a static hosting target and add a public digest landing page.
BookTrans Desk S13 · PARTIAL
S13 reran the S11 blocker fixes and manual validation in the real BookTrans Desk repository (conanxin/booktrans-desk @ 16f38b6). Automated checks PASS: npm run build, npm test (52 files / 211 tests), npm run release:check, and npm run pack all green. Packaged app launched with the expected BookTrans Desk window title. S12 DocuMuse Studio workspace shell reviewed against the source/UI structure with PASS_SOURCE_REVIEW on all six layout areas. Real EPUB / PDF Windows desktop click-through remains BLOCKED_MANUAL in this automated rerun (no human click-through performed).
Continue release hardening and documentation for the desktop translation workflow; await a human Windows desktop click-through to clear the BLOCKED_MANUAL EPUB/PDF items.
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Agents
2 total Local Hermes (notebook) local
Cloud OpenClaw (VPS) cloud
Recent activity (newest 10)
10 shownRan a real recurring public-data update trial using the ACT-11 preflight workflow before manually publishing the reviewed update.
Added scripts/public_data_update_preflight.py (regenerates public-data + writes 7-artifact review directory), tests/public_update_preflight_smoke.py (12 checks including 1-project downgrade and BookTrans Desk misclassification regression), make public-update-preflight/test, Telegram template, and 10-section human review checklist. No auto-commit/push/deploy. New automation Level 1.5 (assisted local update).
Added a tracked public-data export plan and aligned publish-preflight, candidate artifacts, and review checklists around it.
Implemented Level 3 proposed-export artifact prototype (candidate script + tests + workflow + Makefile). Local make candidate / candidate-fixture / candidate-test all PASS. CI dispatch deferred to manual step (no GITHUB_TOKEN); the workflow file is committed and visible on main, awaiting human trigger from the Actions UI.
Documented the public-data automation boundary, double-door model, and allowed automation levels before implementing any CI export automation.
Validated the ACT-7B command generator in a second-agent trial and confirmed it prevents multi-line command and CLI/template drift errors.
Used the ACT-7B command generator to run a second-agent review flow without hand-written multi-line tower.py commands.
Ran a real onboarding trial with a second agent (cloud-openclaw on a real cloud VPS) and fed the 10 findings back into the playbooks and templates. Six playbook / template gaps were patched in this act; three tool limitations are documented as workarounds for a follow-up code patch. Trial agent's REVIEW_REPORT is now part of the public timeline. Two-gate model held: trial agent only wrote to its own data/, only local-hermes exported and pushed.
ACT-8 cross-machine onboarding trial PASS. Cloned the tower on a fresh cloud box, ran make all, validated the data path, registered cloud-openclaw, and submitted this review. Three small gaps surfaced: (1) data/ does not exist on a fresh clone, so the very first validate fails; playbook should call out a bootstrap step. (2) tests/smoke.py hardcodes python while the rest of the build uses python3; on Debian/Ubuntu boxes without the python alias, make test fails. (3) make publish-preflight is opt-in and not part of make all; trial agent might assume it is. Otherwise the ACT-7 playbooks and templates were sufficient to drive a real cross-machine onboarding end-to-end with no token / IP / home path / data leak and no public-data touched. Design reason: trial is intentionally cross-machine to exercise docs/MULTI_MACHINE_SETUP.md and the agent/human two-gate model in docs/OPEN_SOURCE_PLAN.md section 11.3.1. Impact analysis: local-hermes can patch the three small gaps with a 1-line data-bootstrap hint, a python-alias hint, and a publish-preflight opt-in clarification. No source code change in any of the three real projects.
Added multi-machine usage playbooks, Telegram command templates, and public-data review checklists for repeatable agent onboarding.