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Remove plan mode, skill toolcall path, and inline netx tools.

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Wave C subtraction: keep skills as prompt-only, route netx via MCP with a shared netx_http client for xlsx/context inject, and delete plan_agent_v2 from the gateway.

Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
oliver 2026-08-11 01:17:39 +08:00
parent 628a9dffd2
commit efa72df362
40 changed files with 169 additions and 3033 deletions
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63
runtime/tools/skills_runtime/materialize_skill_tools.py
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@ -1,63 +0,0 @@
from __future__ import annotations
from typing import Any
from runtime.skills import discover_workspace_skill_manifests
from runtime.tools.base import ToolSpec
def materialize_executable_skill_tools(*, store: Any | None = None) -> list[ToolSpec]:
"""Convert installed skill manifests with runtime into ToolSpec.
Tool name equals skill name so the model can call it directly.
"""
_ = store
out: list[ToolSpec] = []
for m in discover_workspace_skill_manifests():
rt = dict(m.runtime or {}) if isinstance(m.runtime, dict) else {}
if not rt:
continue
tp = str(rt.get("type") or "").strip().lower()
entry = str(rt.get("entry") or "").strip()
if not tp or not entry:
continue
schema = rt.get("schema") if isinstance(rt.get("schema"), dict) else {"type": "object", "additionalProperties": True}
name = str(m.name or "").strip()
if not name:
continue
def _handler(args: dict[str, Any], *, _manifest=m, _rt=rt) -> dict[str, Any]:
from runtime.tools.skills_runtime.subprocess_exec import run_skill_runtime_entry
source_meta = {}
if isinstance(getattr(_manifest, "metadata_oclaw", None), dict):
source_raw = _manifest.metadata_oclaw.get("source")
if isinstance(source_raw, dict):
source_meta = {
"provider": str(source_raw.get("provider") or ""),
"version": str(source_raw.get("version") or ""),
"kind": str(source_raw.get("kind") or ""),
}
return run_skill_runtime_entry(
skill_name=str(_manifest.name or ""),
skill_dir=str(_manifest.skill_dir or ""),
runtime={**dict(_rt), "__source_meta": source_meta},
args=dict(args or {}),
)
out.append(
ToolSpec(
name=name,
description=str(m.description or ""),
parameters=dict(schema),
handler=_handler,
tags=frozenset({"skill", "oclaw", "runtime"}),
risk_level="high",
timeout_s=60.0,
)
)
return out
__all__ = ["materialize_executable_skill_tools"]