القائمة
Zouroboros self-healing watchdog that monitors scheduled agent models and automatically switches failing agents to backup models, restoring originals when they recover.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Local-only multi-agent orchestrator with token optimization, 6-signal composite routing, and persistent memory. Routes all tasks through local executor bridges (Claude Code, Hermes, Gemini, Codex) with DAG dependencies, auto-episode creation, and cognitive profiles.
Zouroboros self-healing watchdog that monitors scheduled agent models and automatically switches failing agents to backup models, restoring originals when they recover.
Hybrid SQLite + Vector persona memory system for Zo Computer. Episodic memory with temporal queries, graph-boosted search, BFS path finding, knowledge gap analysis, auto-capture pipeline, and per-workload model routing. Default generation workloads use OpenAI `gpt-4o-mini`; embeddings use OpenAI `text-embedding-3-small`.
Security governance gate for AI agent skills, backed by NVIDIA SkillSpector. Statically scans a skill (local path, directory, zip, or Git URL) for 65 vulnerability patterns across 16 categories (prompt injection, data exfiltration, privilege escalation, supply chain, excessive agency, tool/MCP misuse, dangerous code via AST, YARA signatures) and returns a 0-100 risk score with a SAFE / REVIEW / DO_NOT_INSTALL recommendation. Use BEFORE adopting any third-party skill, and for the periodic baseline scan of the Skills/ directory.
Detector for model classifier SOFT-blocks — refusals, filtered-to-empty, truncated-with-disclaimer, content-policy flags — that masquerade as successful empty output to existing infrastructure (agent-model-healer only catches HARD failures: HTTP 4xx/5xx, timeouts, genuine empties). Classifies an output as soft_block / genuine_empty / ok using a per-provider signal catalog, then routes a per-domain fallback (security → broader-tolerance model, bio/chem → human review, distillation → refuse-by-design, never routed around). Every block + fallback is appended to an audit ledger. A quarterly system-card-diff agent flags expanded classifier scope so the catalog stays current.
Rendered-output verification station for the swarm post-flight eval. After a maker subagent produces a visual deliverable (UI/route/site), the station captures a full-page screenshot via agent-browser, then an independent verifier model (not equal to author, per aiewf P0-2) reads the screenshot against seed acceptance criteria + project DESIGN.md tokens + prior screenshots. Match marks the task complete; mismatch emits a structured visual diff for the maker's next iteration. The verifier is the exit condition, not the maker. Recurring visual failure modes graduate to instincts.yaml via the extract-patterns gate (ZOU-452).
| name | agent-model-healer |
| description | Zouroboros self-healing watchdog that monitors scheduled agent models and automatically switches failing agents to backup models, restoring originals when they recover. |
| compatibility | Created for Zo Computer |
| metadata | {"author":"marlandoj.zo.computer","version":"2.0.0","category":"zouroboros-infrastructure"} |
Self-healing model fallback system for Zouroboros scheduled agents.
Zo scheduled agents are configured with a single model. When that model becomes unavailable (insufficient credits, rate limits, provider outage), the entire agent task fails silently with only an email notification. There is no platform-level retry or fallback.
A watchdog agent on zo:fast runs healer.ts auto every 30 minutes. The script is fully autonomous — all orchestration uses direct MCP API calls (zero model cost). The only AI cost is the probe prompts (~5 tokens × ~10 models = negligible).
/zo/asklist_agents (zero cost)edit_agent (zero cost)send_email_to_user only when actions taken.zouroboros/healer-state.json for audit# Full autonomous pipeline (what the agent runs)
bun Skills/agent-model-healer/scripts/healer.ts auto
# Check model health
bun Skills/agent-model-healer/scripts/healer.ts probe
# See current state
bun Skills/agent-model-healer/scripts/healer.ts status
# Legacy: probe + output instructions (manual use)
bun Skills/agent-model-healer/scripts/healer.ts run
The healer agent MUST run on a model that is NOT in any fallback chain it monitors.
If the healer shares a model with the agents it heals, a single provider outage (e.g., OpenRouter 402 insufficient credits) kills both the healer and its patients — a cascade where nothing can self-repair. The healer runs on zo:fast (Zo built-in), which is independent from all external providers it monitors.
This is enforced in healerConfig within assets/fallback-chain.json.
| Concern | v1 (Zo agent on Sonnet) | v2 (zo:fast + direct MCP) |
|---|---|---|
| Agent model cost | 48 Sonnet calls/day | 48 zo:fast calls/day (minimal) |
| Tool call cost | AI interprets JSON → calls tools | Direct HTTP to MCP endpoint (zero) |
| Watchmen safety | Shared provider risk | zo:fast is Zo-native, no external dep |
| Autonomy | Agent interprets instructions | Script executes deterministically |
Edit assets/fallback-chain.json to:
zo:fast or zo:smart to a fallback chain (healer runs on zo:fast)scripts/healer.ts — Main healer engine (auto, probe, diagnose, status, run)assets/fallback-chain.json — Fallback chain config and model labels/home/workspace/.zouroboros/healer-state.json — Runtime state (switches, probe results)/dev/shm/agent-model-healer.log — Operational logThe healer runs as a scheduled Zo agent (every 30 min) on zo:fast. The agent simply executes bun healer.ts auto — all logic is in the script, not the AI.