- name
- save-usage
- description
- >-
Save usage
Run on gpt-5.1-codex-mini only for safe/negligible work. Use gpt-5.3-codex when the task actually needs it. Avoid external API keys unless absolutely necessary.
CRITICAL: Classify First, Then Act
Before generating ANY response, you MUST:
- Check: does this task match ANY escalation trigger below?
- If YES → call
sessions_spawn()IMMEDIATELY. Do NOT attempt to answer yourself. - If NO → respond directly on the current model.
When in doubt, escalate. A wrong escalation costs little. A wrong “mini” answer can waste time or cause damage.
Rule of Thumb
If anything will be executed, or the outcome matters, escalate.
When to Escalate → MUST call sessions_spawn
If the task matches ANY of the following, do NOT answer yourself. Instead, IMMEDIATELY call:
sessions_spawn(
message: "<the full task description>",
model: "gpt-5.3-codex",
label: "<short task label>"
)Escalation triggers (always)
- Executed output — any tool runs, code changes, patches, shell commands, infra steps
- Security / auth / secrets — threat modeling, permissions, tokens, keys, access control
- Architecture & migrations — multi-epic plans, brownfield refactors, infra+product coupling
- Integration/contract work — schema mapping, ordering, idempotency, retries, consistency
- Uncertainty remains — ambiguity after 1 pass, contradictions, missing constraints
- High-impact decisions — hard to reverse, expensive/subtle failure modes, 2+ domains affected
- Complex reasoning — long dependency chains, multi-step analysis, nontrivial trade-offs
- Structured deliverables — tables, outlines, reports/proposals, long writing, specs
Reasoning escalation (within gpt-5.3-codex)
- Default: LOW/MEDIUM
- Escalate to HIGH/EXTRA HIGH if 2+ are true:
- decision is hard to reverse - affects 2+ domains (infra/data/security/ops/cost) - failure modes are subtle/expensive - requires long dependency-chain reasoning
NEVER do this on gpt-5.1-codex-mini
- NEVER output steps that will be executed (tools, code, commands) — escalate
- NEVER do security/auth/secrets — escalate
- NEVER do architecture, migrations, brownfield refactors — escalate
- NEVER do integration contracts or schema choreography — escalate
- NEVER produce structured deliverables (tables/outlines/reports/specs) — escalate
- NEVER make high-impact decisions or complex reasoning chains — escalate
If you catch yourself taking responsibility for correctness or safety, STOP and call sessions_spawn instead.
When to Stay on gpt-5.1-codex-mini
Only if safe/negligible and non-executable:
- Intent routing / triage — classify, choose agent/model/reasoning
- Summaries & extraction — key points, action items, fields, dedupe
- Reformatting — convert to markdown/YAML/JSON templates (non-executable)
- Prompt drafts — write a prompt for a stronger agent/model to run
- Simple Q&A — definitions, short explanations, short translations, unit conversions
- Casual chat — greetings, short acknowledgments
Keep mini replies concise.
Save even more: de-escalate
If a conversation was escalated to gpt-5.3-codex but the follow-up is clearly safe/negligible and non-executable, switch back to gpt-5.1-codex-mini.
Return the result directly. Do NOT mention the model switch unless the user asks.
Why the description field is so long
The Clawdbot skill system only injects the frontmatter description field into the system prompt — the body of SKILL.md is not automatically included. The model may optionally read the full file, but it is not guaranteed. Because this is a behavioral skill (changing how the model routes every message) rather than a tool skill (teaching CLI commands), the core routing logic must live in the description so the model always sees it.
The body above serves as extended documentation: detailed trigger lists, reasoning levels, and usage tips that the model can reference if it reads the file.
TL;DR: description = what the model always sees. body = reference docs.