* feat: add Plan Canvas - browser annotate-and-approve review for plan artifacts
- scripts/plan-canvas.js CLI (open/await/end/stop/server; bin ecc-plan-canvas)
- loopback server + ECC-styled chrome + annotation SDK + zero-dep markdown renderer
- Approve/Request-changes verdicts wired to the /plan confirmation gate
- plan-canvas skill, /plan-canvas command, SessionStart hook surfacing open reviews
- shared scripts/lib/loopback-guard.js extracted from control-pane (API re-exported)
- 121 new tests incl. full-workflow E2E; registered in manifests, catalog, registry
Inspired by lavish-axi (https://github.com/kunchenguid/lavish-axi) by @kunchenguid;
original ECC-native implementation, not a port.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* refactor(plan-canvas): invoke via ecc-plan-canvas bin so the skill works from any project
Skill/command referenced a cwd-relative `node scripts/plan-canvas.js`, unusable
outside the ECC root. Switch to the ecc-plan-canvas bin (and $CLAUDE_PLUGIN_ROOT
fallback) and align CLI next_step hints so an agent can run it as a skill in any repo.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* feat(plan-canvas): render Mermaid diagrams + ship Codex cross-harness surface
- markdown renderer emits <pre class="mermaid"> for ```mermaid blocks (source
entity-escaped so the browser decodes it for the renderer while blocking injection)
- artifact template loads a pinned Mermaid build only when a diagram is present,
themed to ECC dark, securityLevel strict, graceful offline fallback to source
(ECC_PLAN_CANVAS_MERMAID_URL overrides for a local mirror)
- skill teaches Mermaid-for-diagrams and states the CLI+JSON loop is harness-agnostic
- add .agents/skills/plan-canvas (Codex) with agents/openai.yaml interface manifest
- register in install-modules workflow-quality paths; docs updated
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* docs(plan-canvas): add demo screenshot
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* fix(ci): sync yarn.lock with new bin; add contributor checklist
- yarn.lock records the ecc-plan-canvas bin so Yarn hardened-mode install no
longer wants to modify the lockfile on public PRs
- PR template + CONTRIBUTING gain a pre-push checklist covering the lockfile
trap and the full skill/command/CLI registration surfaces
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
---------
Co-authored-by: Haley Chen <2022hachen@gmail.com>
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
Add a new Stop hook that sends a native macOS notification with the
task summary (first line of last_assistant_message) when Claude finishes
responding. Uses osascript via spawnSync for shell injection safety.
Supports run-with-flags fast require() path. Only active on standard
and strict profiles; silently skips on non-macOS platforms.
Critical fixes:
- Convert hook from PostToolUse to PreToolUse so exit(2) blocking works
- Change all python references to python3 for cross-platform compat
- Add insaits-security-wrapper.js to bridge run-with-flags.js to Python
Standard fixes:
- Wrap hook with run-with-flags.js so users can disable via
ECC_DISABLED_HOOKS="pre:insaits-security"
- Add "async": true to hooks.json entry
- Add type annotations to all function signatures (Dict, List, Tuple, Any)
- Replace all print() statements with logging module (stderr)
- Fix silent OSError swallow in write_audit — now logs warning
- Remove os.environ.setdefault('INSAITS_DEV_MODE') — pass dev_mode=True
through monitor constructor instead
- Update hooks/README.md: moved to PreToolUse table, "detects" not
"catches", clarify blocking vs non-blocking behavior
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add insaits-security-monitor.py: real-time AI security monitoring
hook that catches credential exposure, prompt injection,
hallucinations, and 20+ other anomaly types
- Update hooks.json with InsAIts PostToolUse entry
- Update hooks/README.md with InsAIts in PostToolUse table
- Add InsAIts MCP server entry to mcp-configs/mcp-servers.json
InsAIts (https://github.com/Nomadu27/InsAIts) is an open-source
runtime security layer for multi-agent AI. It runs 100% locally
and writes tamper-evident audit logs to .insaits_audit_session.jsonl.
Install: pip install insa-its
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add hooks/README.md: comprehensive hook documentation with input schema,
customization guide, 4 ready-to-use hook recipes, and cross-platform notes
- Expand planner agent with full worked example (Stripe subscriptions plan)
and sizing/phasing guidance (119 → 212 lines)
- Add Django REST API example config (DRF + Celery + pytest + Factory Boy)
- Update README directory tree with new files
