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cost-session

Break down a Claude Code session's costs by assistant message to find expensive responses. Compare input, output, cache writes, cache reads, and models, with message cost percentiles providing context for investigating unusually costly activity.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Per-message cost breakdown within a single session. The drill-down companion to cost-anomaly — when an outlier session is flagged, this surfaces the specific expensive messages so operators can see whether the cost came from output tokens, cache writes, or model escalations.

설치 방법 보기

이럴 때 유용합니다

  • Investigate messages in a flagged session
  • Check the cost contribution of cache writes
  • Review expensive messages after a specific time
  • Compare top message costs with session percentiles

포함된 파일(1)

  • SKILL.md3.1 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

When cost-anomaly flags a session as a >3.5σ outlier, the next question is "which MESSAGES were expensive?". cost-session answers that.

QuestionSkill
"Which sessions cost the most?"cost-conversation
"Which sessions are outliers?"cost-anomaly
"Which messages in THIS session were expensive?"cost-session ← this

Algorithm

Implementation: scripts/session.mjs.

  1. Resolve session jsonl: --session-id <id> (scans ~/.claude/projects/*/) or --latest (default; picks most-recently-modified jsonl).
  2. Parse all assistant messages with usage blocks.
  3. Cost each message via shared PRICING (_prices.mjs).
  4. Sort descending by cost_usd, surface top-N (default 20).
  5. Compute p50/p90/p99 of message costs for in-session percentile context.
  6. Flag the top message if it's >2× the p99 — that's an in-session outlier.

Why this matters: cache writes are the silent cost

Example real session, top message:

| # | Model    | In | Out | Cache W | Cache R | Cost      |
| 1 | opus-4-7 | 6  | 569 | 881898  | 0       | $16.58    |

Without the Cache W column it looks like "569 output tokens cost $16" — that's wrong by 380×. The actual cost is ephemeral 1h cache write at opus pricing: 881,898 tokens × $18.75/1M = $16.54.

Operators reading the table see immediately: "the model wrote 881K tokens to ephemeral cache". From there the question becomes "why did we cache 881K tokens of context for a 6-input request?" — that's a real engineering signal.

Drill-down workflow

# Step 1: find outliers across all sessions
cost anomaly --alert-on-outliers 1 || cost anomaly  # see which session-ids

# Step 2: drill into the flagged session
cost session --session-id <flagged-id> --top 10

# Step 3: open that jsonl at the timestamp the top message reports,
# inspect the prompt + tool calls

Percentile context

Top of output:

| p50 (median) message | $0.85 |
| p90 message          | $1.45 |
| p99 message          | $1.74 |

Lets operators ask "is this top message a 2× outlier or a 380× one?" without having to compute it themselves. The "top is >2× p99" footer fires when the answer is "yes, this is an in-session outlier worth investigating".

--since filter

Useful for drilling into a specific time range within a long session:

cost session --since 2026-06-16T13:00:00Z --top 5

Only messages with timestamp >= --since are considered.

Edge cases

  • No costed assistant messages → "No costed assistant messages" + exit 0.
  • --session-id not found in any project's jsonls → exit 2 with error.
  • --top must be a positive integer → exit 2.

리뷰

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