map-tokenreport

name	map-tokenreport
description	Show per-subtask/agent token accounting (input, output, cache read/creation, cost, cache-hit ratio) for the current branch. Supports --dashboard (box-drawing visual), --history (trends), --estimate (cost projection), --json / --csv export, and --finalize (record session snapshot). Use when asked for token usage, run cost, or a token report. Do NOT use to plan or run work; use map-efficient.
effort	low
disable-model-invocation	true
argument-hint	[branch] [--dashboard|--history|--estimate|--json|--csv|--finalize]

/map-tokenreport - Token Accounting Report

Purpose: surface how many tokens (and how much money) the current branch's MAP run spent, attributed to the subtask, phase, and agent that spent them. Read-only reporting — this skill does not plan, implement, or run quality gates.

Constraints (NEVER)

This skill is strictly read-only reporting.

• NEVER edit code, state, or git from this skill — it renders an existing rollup and stops.
• NEVER run or resume a MAP workflow here; if work is needed, hand off to /map-efficient.
• NEVER present est_cost_usd as a billing source of truth — it is a per-model estimate.

The numbers come from the map-token-meter hook (wired on SubagentStop and Stop), which reads each Claude Code transcript's per-turn usage block and appends attributed rows to .map/<branch>/token_log.jsonl, rolled up into .map/<branch>/token_accounting.json. This skill just renders that rollup.

What it shows

• input / output tokens, cache_read (cheap cache hits) and cache_creation (cache writes) — tracked separately because they bill at very different rates.
• est_cost_usd — priced per model via MODEL_TOKEN_PRICES in map_step_runner.py (estimate, not a billing source of truth).
• cache_hit_ratio = cache_read / (input + cache_read) — how well prompt caching is paying off.
• Breakdowns by subtask, by agent (actor / monitor / research-agent / orchestrator / ...), and by phase.
• research_roi — research-agent / Codex researcher tokens and cost compared with downstream Actor/Monitor tokens, so users can see whether delegated exploration paid for itself.

Modes

The skill supports several modes via CLI flags:

Flag	Effect
(default)	Classic text table: per-subtask rows, by-agent section, research ROI, cache-hit + cost
--dashboard	Box-drawing visual dashboard: subtask bar chart, per-agent + per-model breakdowns, vs-previous comparison
--history [N]	Trend table over last N recorded sessions (default 10) with cost delta and cache-hit trend
--estimate	Cost projection from weighted historical average, with range, median, and remaining estimate
--json	Export token_accounting.json as formatted JSON
--csv	Export as CSV (one row per dimension key: aggregate, subtask, agent, phase)
--finalize	Record current token_accounting.json as a snapshot in token_history.jsonl for trend tracking

Steps

Step 1: Resolve the branch

BRANCH=$(git rev-parse --abbrev-ref HEAD | sed -E 's|/|-|g; s|[^a-zA-Z0-9_.-]|-|g; s|-{2,}|-|g; s|^-||; s|-$||')

If the user passed an explicit branch argument, use it instead of the detected one.

Step 2: Render the report

Choose the right command for the user's intent:

Default (classic table):

python3 .map/scripts/map_step_runner.py token_report "$BRANCH"

Dashboard (visual):

python3 .map/scripts/map_step_runner.py token_report "$BRANCH" --dashboard

History (trends):

python3 .map/scripts/map_step_runner.py token_report "$BRANCH" --history

Estimate:

python3 .map/scripts/map_step_runner.py token_report "$BRANCH" --estimate

JSON / CSV export:

python3 .map/scripts/map_step_runner.py token_report "$BRANCH" --json
python3 .map/scripts/map_step_runner.py token_report "$BRANCH" --csv

Record snapshot for history:

python3 .map/scripts/map_step_runner.py token_report "$BRANCH" --finalize

Step 3: Optional — inspect the raw rollup

For the per-phase split or per-subtask research ROI details, read the JSON directly:

jq '{aggregate, by_agent, by_phase, research_roi}' ".map/${BRANCH}/token_accounting.json"

Step 4: Summarize

Emit exactly this report shape, then STOP (this skill never changes code):

Tokens (<branch>): in <I> / out <O> / cache_rd <CR> / cache_cr <CC>
Cache-hit ratio: <X>%   ·   Est. cost: $<C>   ·   Research share: <R>%
Most expensive: <subtask|agent> ($<amount>)
Flags: <low cache-hit | high research cost | none>

Fill every field from the token_report output. If a value is unavailable, write n/a — never omit a line or invent a number.

Examples

Report token usage for the current branch:

/map-tokenreport

Visual dashboard:

/map-tokenreport --dashboard

Trend over last 5 sessions:

/map-tokenreport --history 5

Cost estimate before starting:

/map-tokenreport --estimate

Export for CI pipeline:

/map-tokenreport --json > .map/token_report.json

Record a snapshot (typically called automatically by the Stop hook):

/map-tokenreport --finalize

Typical dashboard output:

┌─────────────────────────────────────────────────────────────────┐
│  MAP Token Report — feat-oauth2                                 │
│                                                                 │
├─────────────────────────────────────────────────────────────────┤
│  Session: $ 3.42     Cache-hit: 67%  │ vs prev: ↑12%            │
│  Turns: 93  │                                                   │
├─────────────────────────────────────────────────────────────────┤
│  Per-subtask                                                    │
│                                                                 │
│  ST-001       $   0.87  █████████████████████████████░░░░ 28%   │
│  ST-002       $   1.23  ██████████████████████████████████████  │
│  ST-003       $   0.65  █████████████████████░░░░░░░░░░░░ 21%   │
│  ST-004       $   0.67  ██████████████████████░░░░░░░░░░░ 22%   │
├─────────────────────────────────────────────────────────────────┤
│  By agent                                                        │
│    actor                       $   1.89 (55%)                    │
│    monitor                     $   0.67 (20%)                    │
│    evaluator                   $   0.44 (13%)                    │
│    predictor                   $   0.42 (12%)                    │
├─────────────────────────────────────────────────────────────────┤
│  By model                                                        │
│    claude-sonnet-4-6           $   2.10 (61%)                    │
│    claude-haiku-4-5            $   1.32 (39%)                    │
└─────────────────────────────────────────────────────────────────┘

Typical history output:

Token history — feat-oauth2 (last 3 of 3 sessions)

  #  timestamp              turns     cost   cache%  vs prev
-------------------------------------------------------------------
  1  2026-06-24T10:15:00       45  $   2.87    58%        —
  2  2026-06-25T14:22:00       72  $   3.15    62%      +10%
  3  2026-06-26T09:30:00       93  $   3.42    67%       +9%

Trend (3 sessions):
  Cost:     $ 2.87 → $ 3.42  ↑ 19%
  Cache:    58% → 67%  ↑ 9pp
  Avg cost: $ 3.15 / session

Typical estimate output:

Cost estimate — feat-oauth2

  Based on 3 historical sessions (last 3 weighted):
  Weighted avg:  $ 3.22
  Range:         $ 2.87 — $ 3.42
  Median:        $ 3.15
  Spent so far:  $ 1.20
  Remaining est: $ 2.02

Troubleshooting

• token_accounting.json does not exist / report is empty. The map-token-meter hook has not fired for this branch yet. It records on SubagentStop and Stop, so a brand-new branch with no completed turns has nothing to show. Confirm the hook is wired in .claude/settings.json (SubagentStop and Stop entries) and that .map/<branch>/token_log.jsonl exists.
• Everything is attributed to orchestrator / unattributed. Those turns ran outside a MAP subtask (e.g. direct edits, or before step_state.json had a current_subtask_id). Per-subtask attribution appears once a /map-efficient run sets the active subtask.
• Cost looks high relative to raw input. That is expected when most input is cached: cache_creation is the dominant cost on cache-heavy runs. Compare cache_creation vs cache_read and the cache-hit ratio to see where the spend goes.
• Unknown model in cost estimate. MODEL_TOKEN_PRICES falls back to the default model price for unrecognized model ids; update that table in map_step_runner.py when a new model ships.
• --history / --estimate show no data. No snapshots have been recorded. Run /map-tokenreport --finalize at the end of each session, or set up the Stop hook to call record_session_snapshot automatically.
• Dashboard layout looks wrong in narrow terminals. The dashboard uses a fixed 67-character width. Pipe the output to a file and view it in a wider terminal, or use --json for programmatic consumption.