report-limit - SKILL.md Agent Skill

name: report-limit description: 'Max plan hit the wall? 💀 Report your 5h window data — we''re mapping the rate limit formula Anthropic won''t publish' when_to_use: Use when user hits a rate limit and wants to contribute data. Triggers on "report limit", "limit report", "rate limit report".

Report rate-limited 5-hour windows to GitHub Discussions. Pure rule-based — no LLM reasoning needed.

Help

ONLY show help if the user's argument literally contains the word "help" (e.g. /report-limit help). If no argument or any other argument is given, SKIP this section entirely and proceed to execution.

If the user provides "help" as argument, show usage summary and stop:

/report-limit — Report your rate limit data

Got rate limited? This skill automatically finds your blocked
5-hour windows from cached timeline data and opens a pre-filled
GitHub Discussion to ww-w-ai/claude-code-token-saver.

No manual input needed. Just run it and confirm in your browser.

Options:
  (nothing)     Auto-detect and report all rate-limited windows
  <date>        Report a specific date (e.g. /report-limit 2026-04-01)
  help          Show this help

Examples:
  /report-limit              Report all rate-limited windows
  /report-limit 2026-04-01   Report all 5h windows on April 1st

Do not run any analysis. Just display the help text and stop.

Execution

Before running, ask the user's plan if not already known. The prompt message MUST be in the user's language (detect from conversation context). The table content (Plan names, prices) stays in English since they are proper nouns.

Select your current Claude plan. The report will be generated based on your plan type.

(Translate the above message naturally into the user's language. Example Korean translation → "현재 Claude 플랜을 선택해주세요. 선택한 플랜을 기반으로 리포트를 생성합니다.")

# Plan Price

1 Pro $20/mo

2 Max 5x $100/mo

3 Max 20x $200/mo

4 Team Standard $20/seat/mo

5 Team Premium $100/seat/mo

6 Enterprise custom

7 Amazon Bedrock usage-based

8 Microsoft Foundry usage-based

9 Google Vertex AI usage-based

Enter number or name (e.g. "3" or "max200"):

#	Plan	Price
1	Pro	$20/mo
2	Max 5x	$100/mo
3	Max 20x	$200/mo
4	Team Standard	$20/seat/mo
5	Team Premium	$100/seat/mo
6	Enterprise	custom
7	Amazon Bedrock	usage-based
8	Microsoft Foundry	usage-based
9	Google Vertex AI	usage-based

Map user input to --plan values: 1=pro, 2=max100, 3=max200, 4=team, 5=team_premium, 6=enterprise, 7=bedrock, 8=foundry, 9=vertex

Run the standalone script with --plan and optionally --date:

node ${CLAUDE_PLUGIN_ROOT}/scripts/report-limit.js --plan <plan> [--date <YYYY-MM-DD>]

If the user provided a date argument (e.g. /report-limit 2026-04-01), pass it as --date 2026-04-01. This reports ALL 5h windows for that date, not just rate-limited ones.

If the user doesn't know or skips plan, run without --plan (reports as "unknown").

Unknown model handling (run inline, do NOT stop the skill)

스크립트는 scripts/model-pricing.json에 등록되지 않은 모델을 만나면 exit code 2로 실패하면서 stderr에 ERROR:UNKNOWN_MODEL 블록을 출력합니다. 이 경우 아래 절차를 인라인으로 처리한 뒤 이어서 진행하세요:

stderr의 models: 줄을 파싱해 미등록 모델 이름 목록을 추출합니다.
WebFetch로 https://platform.claude.com/docs/en/about-claude/pricing#model-pricing을 가져와 각 모델의 input / output / cacheCreate5m / cacheCreate1h / cacheRead / contextWindow를 확인합니다.
6개 필드가 모두 확인되면: scripts/model-pricing.json을 Read한 뒤, 기존 엔트리와 동일한 형식 { "input": N, "cacheCreate5m": N, "cacheCreate1h": N, "cacheRead": N, "output": N, "contextWindow": N }으로 모델마다 한 줄씩 Edit으로 추가합니다. 추측/유도값은 쓰지 마세요.

어느 하나라도 페이지에서 확인되지 않으면: JSON을 임의로 채우지 말고 스킬을 중단한 뒤 사용자에게 아래 메시지를 출력하세요.

⚠️ 미등록 모델 {모델명}의 전체 가격 정보(특히 5m/1h 캐시 티어)를 공식 페이지에서 확인할 수 없습니다.
플러그인을 최신 버전으로 업데이트해 주세요:
  /plugin update claude-code-token-saver
업데이트 후에도 문제가 지속되면 https://github.com/ww-w-ai/claude-code-token-saver/issues 에 제보 부탁드립니다.

(3번 성공 시) 동일한 Bash 명령을 그대로 재실행합니다. fail-fast 덕분에 stale cache가 없으므로 --force는 불필요합니다.
재실행이 성공하면 그대로 아래 요약 출력 단계로 진행합니다.

The script outputs JSON to stdout. Parse the result and show the user a brief summary:

💀 Found {N} rate-limited window(s).

| Window | Cost | Requests |
|--------|------|----------|
| {date} {start}-{end} | ${cost} | {n} |

{If gistUrl: "📎 Data uploaded: {gistUrl}"}
{If no gistUrl: "⚠️ GitHub CLI not authenticated. Run `gh auth login` first, or manually attach the zip file."}
{If zipFile: "📎 Zip ready: {zipFile}"}

Discussion opened in browser. Review and submit.

Error Handling

If the script exits with code 1: "No cached data found. Run /usage-view first."
If the script exits with code 2: stderr contains ERROR:UNKNOWN_MODEL. Handle it inline via the "Unknown model handling" procedure above — do NOT treat as a fatal failure.
If the script exits with code 0 but windows is empty: "No rate-limited windows found."

Prerequisites

GitHub Discussion category "Rate Limits" must exist on ww-w-ai/claude-code-token-saver
gh CLI authenticated for gist upload (optional — falls back to local files)