Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
chitin-core
Selects the most cost-effective capable model for tasks, handles rate limit failures gracefully, and supports tier overrides and health checks.
skill openclawclawhub Free
Selects the most cost-effective capable model for tasks, handles rate limit failures gracefully, and supports tier overrides and health checks.
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README-SYNC.md, SKILL.md, _meta.json, config.json, scripts/provider-sync.js, scripts/router.js
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- adroidian
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
chitin-core
Route tasks to the cheapest capable model. Never crash on rate limits.
Activation
When spawning sub-agents or delegating tasks, use ModelRouter to select the optimal model. Trigger phrases: "route this", "spawn a sub-agent", "delegate", or any time you need to choose a model for a task.
Route a Task
node ~/.openclaw/workspace/skills/chitin-core/scripts/router.js route "task description here" Returns JSON: {"tier":"MEDIUM","model":"google-antigravity/gemini-3.1-pro","confidence":0.85,"estimatedCost":0.005,"signals":["codeSignals:2Γ1.2=2.4"]} Use the returned model value in sessions_spawn.
Handle Failures
If a spawned session fails with a rate limit or error: node ~/.openclaw/workspace/skills/chitin-core/scripts/router.js fail "provider/model" "error message" Then re-route β the failed model will be skipped: node ~/.openclaw/workspace/skills/chitin-core/scripts/router.js route "same task"
Check Health
node ~/.openclaw/workspace/skills/chitin-core/scripts/router.js health
View Costs
node ~/.openclaw/workspace/skills/chitin-core/scripts/router.js costs
Validate Config
node ~/.openclaw/workspace/skills/chitin-core/scripts/router.js validate
Workflow
Receive task from user Run router.js route "<task>" to get optimal model sessions_spawn with returned model If spawn fails β router.js fail "<model>" "<error>" β retry route Return result to user
Tiers
TierUse CaseModelsLIGHTGreetings, simple Q&A, status checksFlash, DeepSeek, gpt-5-mini, Groq, OllamaMEDIUMCode, summaries, standard tasksGemini Pro, gpt-5.2, DeepSeek ReasonerHEAVYArchitecture, complex reasoning, agenticgpt-5.2-pro, o3, Codex
Override Tags
Include in task text to force a tier: @light β force cheapest model @medium β force mid-tier @heavy β force most capable
Graceful Degradation
If all models in a tier are rate-limited, the router automatically: Tries adjacent tiers (escalate or downgrade) Falls back to local Ollama if configured Returns structured error with retry time (never crashes)
Configuration
Edit config.json in the skill directory to: Add/remove models per tier Adjust cost figures Tune classification boundaries
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs2 Scripts2 Config
- SKILL.md
- README-SYNC.md
- scripts/provider-sync.js
- scripts/router.js
- _meta.json
- config.json