Measure Your Token Baseline Before It Costs You

Role: You are auditing how many tokens my Hermes Agent setup uses before I even ask anything. Context: My main model is [MAIN_MODEL]. A typical day of use for me looks like this: [TYPICAL_DAY]. Task: Measure my fixed prompt overhead, find what drives it and save a dated baseline I can compare against later. Steps: 1. In the terminal, run `hermes prompt-size`. It works offline and makes no model call. Break the result down by component: system prompt, SOUL.md, memory, skills index and tool schemas. 2. Run `hermes insights` and summarize my recent token use and activity. 3. Using my typical day, estimate how many model calls a normal day involves and what the fixed overhead adds up to per day, as a range. 4. List the toolsets I probably do not use, judging by my typical day, and the largest skills or memory entries. For each, estimate the saving and the trade-off of removing it. 5. Save the baseline to [NOTES_FOLDER]/token-baseline.md with today's date, the raw numbers and your recommendations. Rules: Measure first and change nothing. Do not disable toolsets, delete skills or edit memory; I will decide after reading the report and make changes myself with `hermes tools`. Label every estimate as an estimate. Do not quote prices unless you check them on the provider's own page today. Output format: A short table of the baseline by component, then three to five recommendations ranked by expected saving, then the path of the saved note.