hailin
96e336dd18
## Changes
### openclaw-bridge: POST /skill-inject
- New endpoint writes SKILL.md to ~/.openclaw/skills/{name}/ inside the container volume
- OpenClaw gateway file watcher picks it up within 250ms (no restart needed)
- Optionally calls sessions.delete RPC after write so the next user message starts
a fresh session that loads the new skill directory immediately (zero-downtime)
- Path traversal guard on skill name (rejects names with / .. \)
- OPENCLAW_HOME env var configurable (default: /home/node/.openclaw)
### agent-service: POST /api/v1/agent/instances/:id/skills
- New endpoint in AgentInstanceController proxies skill injection requests to the
instance's bridge (http://{serverHost}:{hostPort}/skill-inject)
- Guards: instance must be 'running', serverHost/hostPort must be set, content ≤ 100KB
- iAgent calls this internally (localhost:3002) via Python urllib — no Kong auth needed
- sessionKey format for DingTalk users: "agent:main:dt-{dingTalkUserId}"
### agent-service: remove dead SkillManagerService
- Deleted skill-manager.service.ts (file-system .md loader, never called by anything)
- Removed from agent.module.ts provider list
- The live skill path is ClaudeAgentSdkEngine.loadTenantSkills() which reads directly
from the DB (it0_t_{tenantId}.skills) at task-execution time
### agent-service: clean up SystemPromptBuilder
- Removed unused skills?: string[] from SystemPromptContext (was never populated)
- Added clarifying comment: SDK engine handles skill injection, not this builder
## DB
- Inserted iAgent meta-skill "为小龙虾安装技能" into it0_t_default.skills
(id: 79ac23ed-78c2-4d5f-8652-a99cf5185b61)
- Content instructs iAgent to: query user instances → generate SKILL.md → call
POST /api/v1/agent/instances/:id/skills via Python urllib heredoc
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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