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View LLM token usage, API call timing, and runtime metrics. Use when the user asks about token consumption, API costs, or performance statistics.
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Based on SOC occupation classification
Adversarial but evidence-bound Reviewer
Plan a literature review before drafting. Build a lean evidence-bound, taste-gated package using references.bib, reference-map.json, review-plan.md, evidence-ledger.md, and table-figure-plan.md.
Draft a fact-grounded, taste-gated review manuscript from an approved lean planning package. Uses references.bib, reference-map.json, review-plan.md, evidence-ledger.md, and table-figure-plan.md; use only after plan is approved.
Understand the autor codebase at a high level. Use when the user asks how to use autor, what built-in skills it has, what features it supports, which workflow to choose, or wants a project overview before using other skills.
Write an exploratory literature review based on papers in an autor workspace. For approved review-article workflows, respect the canonical references.bib / reference-map.json / evidence-ledger contract produced by plan.
High-level orchestrator for iterative review planning and hypothesis evolution. Builds the current autor planning package, triggers targeted acquisition, maintains corpus layers, and stops before writing.
| name | metrics |
| description | View LLM token usage, API call timing, and runtime metrics. Use when the user asks about token consumption, API costs, or performance statistics. |
View LLM token usage, API call timing, and other runtime metrics.
View recent LLM call details:
autor metrics --last 20
View aggregate statistics:
autor metrics --summary
View a specific time period:
autor metrics --since 2026-03-01
View other event categories:
autor metrics --category api --last 50
User says: "How many tokens have I used?"
→ Run metrics --summary
User says: "Show me the recent LLM calls."
→ Run metrics --last 10