Borrowing it
Nothing to install: this file belongs to satoh-y-0323/claude-code-conductor. 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/satoh-y-0323/claude-code-conductor/main/.claude/skills/report-timestamp/SKILL.mdgit clone --depth 1 https://github.com/satoh-y-0323/claude-code-conductorWrote 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/skills/satoh-y-0323/claude-code-conductor/report-timestamp)<a href="https://agentmods.dev/skills/satoh-y-0323/claude-code-conductor/report-timestamp"><img src="https://agentmods.dev/badge/skills/satoh-y-0323/claude-code-conductor/report-timestamp/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/skills/satoh-y-0323/claude-code-conductor/report-timestamp"><img src="https://agentmods.dev/badge/skills/satoh-y-0323/claude-code-conductor/report-timestamp.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 | $0.00082 | $0.00545 |
| Opus 5 | $0.00041 | $0.00272 |
| Sonnet 5 | $0.00016 | $0.00109 |
| Haiku 4.5 | $0.00008 | $0.00055 |
Grade A, and why
report-timestamp scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
report-timestamp
レポートファイル名用のタイムスタンプを Python で取得する。
使い方
レポートファイル名が必要になったら、以下を実行してその出力をファイル名に使用する:
c3 run "${CLAUDE_SKILL_DIR}/scripts/get_timestamp.py"
出力形式: YYYYMMDD-HHMMSS（例: 20260504-143022）
注意
- PowerShell・bash の date コマンドは使わない（時刻部分が 000000 になる場合がある）
- c3 run を第一とする。c3 が解決できない環境（venv 未 activate 等）では python3（無ければ python）で直接実行して退避し、あわせて c3 doctor で環境を確認する（この実行は許可プロンプトが出ます）
Bash を持たないエージェントの場合（親がタイムスタンプを渡す）
architect / planner / design-critic 等、tools に Bash を含まないエージェントは本スクリプトを実行できない。
その場合はサブエージェントを起動する親 Claude が本 skill でタイムスタンプを取得し、
出力先レポートのファイル名を確定させた形で起動プロンプトに含めること（例: 「レポートは
.claude/reports/architecture-report-20260714-213000.md に Write。このファイル名を厳守」）。
エージェント側でのタイムスタンプの手採番（推測・連番）は禁止する。
（Bash を持たないエージェントに Bash を追加する対処は採らない: レポート role の最小権限を崩し、
allow 済み git コマンド経由で「非可逆操作は人間の関所」を迂回する経路が開くため）
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago First seen · 34 lines · 82 tokens per session scan A 618a04e0e3c6
report-timestamp is a skill published in the GitHub repository satoh-y-0323/claude-code-conductor (1 stars, last pushed 5d ago), licensed MIT. It adds 82 tokens to every session and 545 once invoked, about $0.0004 per session on Opus 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 2026-09-04.
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