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Skills chitin-core

chitin-core

install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/adroidian/chitin-core" ~/.claude/skills/openclaw-skills-chitin-core && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/adroidian/chitin-core" ~/.openclaw/skills/openclaw-skills-chitin-core && rm -rf "$T"
manifest: skills/adroidian/chitin-core/SKILL.md
tags
#model-routing#cost-optimization#llm-selection#error-handling#agent-management#tiering
source content

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.

Usage

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:2×1.2=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 — 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

  1. Receive task from user
  2. Run 
    router.js route "<task>"
    to get optimal model
  3. sessions_spawn
    with returned model
  4. If spawn fails → 
    router.js fail "<model>" "<error>"
    → retry route
  5. Return result to user

Tiers

TierUse CaseModels
LIGHTGreetings, simple Q&A, status checksFlash, DeepSeek, gpt-5-mini, Groq, Ollama
MEDIUMCode, summaries, standard tasksGemini Pro, gpt-5.2, DeepSeek Reasoner
HEAVYArchitecture, complex reasoning, agenticgpt-5.2-pro, o3, Codex

Override Tags

Include in task text to force a tier:

  • @light
    — force cheapest model
  • @medium
    — force mid-tier
  • @heavy
    — force most capable

Graceful Degradation

If all models in a tier are rate-limited, the router automatically:

  1. Tries adjacent tiers (escalate or downgrade)
  2. Falls back to local Ollama if configured
  3. 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