fix: recover active skills registration for extensions (#2803)

Extension command registration now resolves the active skills directory before writing command artifacts. This lets initialized skills-backed agents recover a missing active skills directory while preserving the existing preset registration behavior.

Add regression coverage for missing active skills directories, shared skills directories, and symlinked parent guards.

Fixes #2769.

Co-authored-by: OpenAI Codex <codex@openai.com>
This commit is contained in:
minbang
2026-06-04 23:53:31 +09:00
committed by GitHub
parent 8e5643d4ff
commit a9a759450d
16 changed files with 824 additions and 104 deletions

View File

@@ -15,6 +15,8 @@ from typing import Any, Dict, List, Optional
import yaml
from ._init_options import is_ai_skills_enabled, load_init_options
def _build_agent_configs() -> dict[str, Any]:
"""Derive CommandRegistrar.AGENT_CONFIGS from INTEGRATION_REGISTRY."""
@@ -359,11 +361,6 @@ class CommandRegistrar:
agent_name: str, frontmatter: dict, body: str, project_root: Path
) -> str:
"""Resolve script placeholders for skills-backed agents."""
try:
from . import load_init_options
except ImportError:
return body
if not isinstance(frontmatter, dict):
frontmatter = {}
@@ -474,6 +471,29 @@ class CommandRegistrar:
return False
return os.path.normpath(name) == name
@staticmethod
def _same_lexical_path(left: Path, right: Path) -> bool:
"""Compare paths after lexical normalization without resolving symlinks."""
return os.path.normcase(os.path.normpath(os.fspath(left))) == os.path.normcase(
os.path.normpath(os.fspath(right))
)
@staticmethod
def _active_skills_agent(project_root: Path) -> Optional[str]:
"""Return the initialized skills-backed agent, if skills mode is active."""
opts = load_init_options(project_root)
if not isinstance(opts, dict):
return None
agent = opts.get("ai")
if not isinstance(agent, str) or not agent:
return None
# Kimi is a native skills integration; when ai_skills is not boolean
# True, Kimi still uses its existing SKILL.md layout.
if not is_ai_skills_enabled(opts) and agent != "kimi":
return None
return agent
def register_commands(
self,
agent_name: str,
@@ -806,6 +826,7 @@ class CommandRegistrar:
project_root: Path,
context_note: str = None,
link_outputs: bool = False,
create_missing_active_skills_dir: bool = False,
) -> Dict[str, List[str]]:
"""Register commands for all detected agents in the project.
@@ -817,6 +838,11 @@ class CommandRegistrar:
context_note: Custom context comment for markdown output
link_outputs: If True, create dev-mode symlinks for rendered
command files when supported by the OS.
create_missing_active_skills_dir: If True, attempt missing-dir
recovery only for the active initialized skills-backed agent.
Recovery requires active skills mode (or Kimi's existing native
skills directory) and is skipped when safe resolution or
creation fails.
Returns:
Dictionary mapping agent names to list of registered commands
@@ -824,7 +850,17 @@ class CommandRegistrar:
results = {}
self._ensure_configs()
active_skills_agent = (
self._active_skills_agent(project_root)
if create_missing_active_skills_dir else None
)
active_created_skills_dir: Optional[Path] = None
for agent_name, agent_config in self.AGENT_CONFIGS.items():
active_skills_output = (
agent_name == active_skills_agent
and agent_config.get("extension") == "/SKILL.md"
)
recovered_active_skills_dir: Optional[Path] = None
# Check detect_dir first (project-local marker) if configured,
# falling back to the resolved dir for output. This prevents
# global dirs (e.g. ~/.hermes/skills) from causing false
@@ -832,13 +868,55 @@ class CommandRegistrar:
detect_dir_str = agent_config.get("detect_dir")
if detect_dir_str:
detect_path = project_root / detect_dir_str
if not detect_path.exists():
continue
if not detect_path.is_dir():
if not active_skills_output:
continue
try:
from . import resolve_active_skills_dir
recovered_active_skills_dir = (
resolve_active_skills_dir(project_root)
)
except (ValueError, OSError):
continue
if recovered_active_skills_dir is None or not detect_path.is_dir():
continue
active_created_skills_dir = recovered_active_skills_dir
agent_dir = self._resolve_agent_dir(
agent_name, agent_config, project_root,
)
if agent_dir.exists():
agent_dir_existed = agent_dir.is_dir()
register_missing_active_skills_agent = (
not agent_dir_existed
and active_skills_output
)
if register_missing_active_skills_agent:
if recovered_active_skills_dir is None:
try:
from . import resolve_active_skills_dir
recovered_active_skills_dir = (
resolve_active_skills_dir(project_root)
)
except (ValueError, OSError):
continue
if recovered_active_skills_dir is None:
continue
active_created_skills_dir = recovered_active_skills_dir
# Shared skill dirs such as .agents/skills should not make
# later integrations look detected when the active agent just
# recreated the directory during this registration pass.
created_by_active_agent = (
active_created_skills_dir is not None
and self._same_lexical_path(agent_dir, active_created_skills_dir)
and agent_name != active_skills_agent
)
should_register = (
agent_dir_existed and not created_by_active_agent
) or register_missing_active_skills_agent
if should_register:
try:
registered = self.register_commands(
agent_name,
@@ -852,8 +930,16 @@ class CommandRegistrar:
)
if registered:
results[agent_name] = registered
if register_missing_active_skills_agent:
active_created_skills_dir = (
recovered_active_skills_dir or agent_dir
)
except ValueError:
continue
except OSError:
if register_missing_active_skills_agent:
continue
raise
return results
@@ -892,12 +978,12 @@ class CommandRegistrar:
detect_dir_str = agent_config.get("detect_dir")
if detect_dir_str:
detect_path = project_root / detect_dir_str
if not detect_path.exists():
if not detect_path.is_dir():
continue
agent_dir = self._resolve_agent_dir(
agent_name, agent_config, project_root,
)
if agent_dir.exists():
if agent_dir.is_dir():
try:
registered = self.register_commands(
agent_name,