Borrowing it
Nothing to install: this file belongs to kitepon/Throughline. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/kitepon/Throughline/main/.claude/commands/tl.mdgit clone --depth 1 https://github.com/kitepon/ThroughlineWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/kitepon/throughline/tl)<a href="https://agentmods.dev/commands/kitepon/throughline/tl"><img src="https://agentmods.dev/badge/commands/kitepon/throughline/tl/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/kitepon/throughline/tl"><img src="https://agentmods.dev/badge/commands/kitepon/throughline/tl.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00032 | $0.00283 |
| Opus 5.5 | $0.00013 | $0.00113 |
| Sonnet 5.5 | $0.00006 | $0.00057 |
| Haiku 4.5 | $0.00003 | $0.00028 |
Grade A, and why
tl scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Throughline の UserPromptSubmit hook が /tl を検出し、バトン（現セッション ID）を保存しました。
これだけで完了です。追加の操作は不要。
このあと:
- 1 時間以内に新セッションを開く（新 chat / VSCode 再起動など）と、Throughline がバトンを消費して前セッションの記憶 (L1 + L2 + L3 references) を新セッションに自動注入します
- バトンは 1 時間で失効します
通常は /clear だけで自動引継ぎが発火するため、/tl は THROUGHLINE_DISABLE_AUTO_HANDOFF=1 で自動引継ぎを OFF にしているユーザー または /clear を経由せずに新セッションを開くケース の明示意思マーカーとして使います。
ユーザーへの追加報告テキストは不要です。一言だけ完了を伝えるか、何も返さずターンを終えて構いません。
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 16 lines · 32 tokens per session scan A cc4a8230b837
tl is a command published in the GitHub repository kitepon/Throughline (5 stars, last pushed today), licensed MIT. It adds 32 tokens to every session and 283 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
forge-compact-task
Compact context with dotforge-standardized hint that preserves decisions, files modified, pending TODOs, behaviors disabled, and last commit. Use at 80% context window instead of waiting for auto-compact.
cap
Shorthand for /forge capture — register a practice or insight in practices/inbox/.
forge-context-status
Report on current context window usage, cache health, and compaction recommendation. Read-only — does not compact.
orchestrate
Activate memory orchestrator mode for complex tasks.
memory-why
Show why a memory recall returned what it did -- BM25 vs vector vs hybrid provenance.
check
Run mneme check against a file or proposed change.