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Meta-Harness orchestre les skills Botte comme des agents interchangeables dans un pipeline gouverné. Planifie → exécute en sandbox → review croisé → applique avec garde-fous. Inspiré d'Omnigent mais 100% Botte-native.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Memory as a learnable skill — store, recall, compress, and consolidate agent memories. Inspired by Stanford AutoMem.
Auto-decide whether a task runs on a LOCAL model or a CLOUD model (DeepSeek, GLM, Nemotron, Grok, Gemma, …) from an automatic effort estimate, and run multi-model fusion (cascade, draft→refine, vote). Use when the user wants automatic local-vs-cloud routing, to add cloud LLM providers, to make local and cloud models collaborate, or mentions effort-based routing, model fusion/ensemble, OpenRouter, DeepSeek, GLM, Nemotron, or Grok.
Fenêtres de contexte pour boucles rétroactives — charge seulement les deltas.
Optimisations DAG/RAG — waves, pruning, memoization, routing.
Generate one self-contained, timestamped HTML dashboard of the system's cost picture — routing savings (control loop), metric trends, current metrics, and the cost of outstanding fixes. Also renders as a live ANSI terminal view (--tui, --watch) and serves a live HTTP API (api.py). Use when the user wants a single visual view of cost/savings/health over time, or a live terminal view they don't have to open a browser for.
Append-only JSONL decision log (.botte/events.jsonl) that every filter in the belt writes to — routing, cache hits, escalations, micro-NN outputs. The single source of truth demo mode, the live dashboard, and session replay all read from. Use when you want to see or emit a live feed of routing/cache/escalation decisions, or when building a tool that needs to watch the belt work in real time.
| name | meta_harness |
| description | Meta-Harness orchestre les skills Botte comme des agents interchangeables dans un pipeline gouverné. Planifie → exécute en sandbox → review croisé → applique avec garde-fous. Inspiré d'Omnigent mais 100% Botte-native. |
| tags | ["orchestration","pipeline","governance","sandbox","multi-agent"] |
Un meta-harness qui orchestre les skills Botte (audit, fix, counter-audit, optimize, test) dans un pipeline gouverné. Chaque étape tourne dans son propre sandbox (subprocess, workdir isolé). Governance = approval gates + budgets + rollback.
USER: "audit + fix mon projet"
│
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Meta-Harness
├── Orchestrator → Plan: [audit] → [review] → [fix] → [test]
│
├── Sandbox 1: Porthos audit (skills/directives_audit)
├── Sandbox 2: Rochefort counter-audit (skills/cardinal)
├── Sandbox 3: d'Artagnan fix (skills/fix)
└── Sandbox 4: run tests
│
├── Governance → approval gate avant apply
│
└── Report → synthèse multi-agent
| Agent | Skill Botte | Rôle |
|---|---|---|
porthos | directives_audit | Audit initial |
rochefort | cardinal | Contre-audit (red team) |
d'artagnan | fix | Correction automatique |
aramis | optimize | Optimisation token |
conductor | conductor | Planification |
security | security_scanner | Scan sécurité |
fast_context | fast_context | Exploration repo |
# Pipeline complet: audit → counter-audit → fix → test
python -m skills.meta_harness.cli run . audit counter-audit fix test
# Voir les pipelines disponibles
python -m skills.meta_harness.cli plans
# Lancement avec approval gate
python -m skills.meta_harness.cli run . audit fix --approval
# Voir l'état d'un pipeline
python -m skills.meta_harness.cli status <session_id>
# Rollback
python -m skills.meta_harness.cli rollback <session_id>
from skills.meta_harness import MetaHarness, PipelinePlan, Step, Sandbox
# Créer un harness
h = MetaHarness(workdir="/path/to/project")
# Planifier un pipeline
plan = h.plan(["audit", "counter-audit", "fix", "test"])
# Exécuter
session = h.execute(plan, approval=False)
# Voir le rapport
print(session.report())
meta_harness/
├── orchestrator.py — Planification pipeline + dispatch
├── runner.py — Sandbox subprocess + workdir isolé
├── governance.py — Garde-fous, budgets, rollback
├── session.py — Persistance + historique
├── cli.py — argparse CLI
└── test_meta_harness.py