Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add s0912758806p/agentic-sop-to-work --skill extractgit clone --depth 1 https://github.com/s0912758806p/agentic-sop-to-workWrote 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/s0912758806p/agentic-sop-to-work/extract)<a href="https://agentmods.dev/skills/s0912758806p/agentic-sop-to-work/extract"><img src="https://agentmods.dev/badge/skills/s0912758806p/agentic-sop-to-work/extract/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/s0912758806p/agentic-sop-to-work/extract"><img src="https://agentmods.dev/badge/skills/s0912758806p/agentic-sop-to-work/extract.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 | $0.00000 | $0.00408 |
| Opus 5.5 | $0.00000 | $0.00163 |
| Sonnet 5.5 | $0.00000 | $0.00082 |
| Haiku 4.5 | $0.00000 | $0.00041 |
Grade A, and why
extract 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
Skill A — extract（抽取讀數）
SOP 流程的第 1 步。把文字輸入中的 key: number（或 key = number）抽成結構化 readings。
綁定的單一工具
python3（標準庫；正規表示式re）。本 skill 只宣告/使用這一個工具。
依賴（完整宣告；缺項由 kit.require_deps 明確報錯，非靜默失敗）
python>= 3.8
參數化（無硬編碼專案值）
- 輸入：
--in <text 檔>（任意路徑，由編排層/呼叫端提供） - 輸出：
--out <artifact.json>
介面（與上下游 skill 的資料格式）
- 輸入：純文字（每行
key: number）。 - 輸出 artifact：
{"schema":"readings@1","produced_by":"extract","data":{"readings":[{"key","value"}]},"trace":[{"value","source","locator"}]} - 下游（compute）讀
data.readings。
執行
python3 skills/extract/tool.py --in <input.txt> --out <out/a.json>
獨立重用
本目錄（skills/extract/）+ lib/kit.py 可單獨抽出放到別專案；無專案專屬硬編碼，依 --in/--out 即可運作。
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.
- 1mo ago First seen · 30 lines · 0 tokens per session scan A 297c9e9a20be
extract is a skill published in the GitHub repository s0912758806p/agentic-sop-to-work (211 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 408 tokens. 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 2026-08-30.
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