`hermes prompt-size` reported skills as one <available_skills> block total
and tools as one json-bytes total, so there was no way to see which
installed skill or toolset actually dominates the fixed prompt budget.
Add two additive breakdowns to compute_prompt_breakdown (hermes_cli/
prompt_size.py):
- toolsets_breakdown: each resolved tool is attributed to its single
canonical registry toolset (registry.get_tool_to_toolset_map), summed by
group. Fully attributable — the grand total equals the existing
tools.json_bytes minus JSON array framing (2*count bytes).
- skills_breakdown: parsed from the rendered <available_skills> block, one
entry per skill with two honest, distinct numbers — index_line_bytes (the
always-on cost of listing the skill) and skill_md_bytes (on-disk SKILL.md
size, the real read cost paid only on skill_view). Sorted largest-first
by read cost.
render_breakdown prints both as sorted "Toolsets by size" / "Skills by
size" tables (skills capped at 20; --json carries them all). All existing
keys and output are unchanged.
Runs fully offline (dummy credentials, no network). Tests cover shapes,
largest-first ordering, per-tool attribution reconciling to the total,
namespaced-name parsing, and unmapped-skill handling.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
The `hermes prompt-size` command now uses `_get_platform_tools()` to resolve
platform-specific toolsets the same way the gateway does, and also honors
`agent.disabled_toolsets` from config. This fixes the discrepancy where
`prompt-size` reported more tools than actually available in real sessions
for a given platform.
Fixes#41445.
Adds a 'hermes prompt-size' command that reports the fixed prompt budget
for a fresh session: system prompt total, skills index, memory, user
profile, prompt tiers, and tool-schema JSON bytes. Runs offline (dummy
credentials force the direct-construction path, no network call).
Lets users see which block dominates their per-call payload — the skills
index is often the largest single block when many skills are installed
(issue #34667). Zero model-tool footprint: it's a top-level CLI
subcommand, not an agent tool.
--platform <name> simulates a channel's platform hint; --json emits a
machine-readable breakdown.
Closes#34667
