Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/fatfingererr/macro-skillsnpx agentmods add skills/fatfingererr/macro-skills/wasde-ingestorWrote 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/fatfingererr/macro-skills/wasde-ingestor)<a href="https://agentmods.dev/skills/fatfingererr/macro-skills/wasde-ingestor"><img src="https://agentmods.dev/badge/skills/fatfingererr/macro-skills/wasde-ingestor/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/fatfingererr/macro-skills/wasde-ingestor"><img src="https://agentmods.dev/badge/skills/fatfingererr/macro-skills/wasde-ingestor.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 | $0.00078 | $0.02505 |
| Opus 5 | $0.00039 | $0.01252 |
| Sonnet 5 | $0.00016 | $0.00501 |
| Haiku 4.5 | $0.00008 | $0.00250 |
Grade A, and why
wasde-ingestor 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.
<essential_principles> WASDE Ingestor 核心原則
1. 商品範圍
WASDE 涵蓋三大類商品，每類有不同的表格結構與單位：
| 類別 | 商品 | US 單位 | World 單位 |
|---|---|---|---|
| Grains | Wheat, Corn, Rice, Barley, Sorghum, Oats | million bushels / cwt | million metric tons |
| Oilseeds | Soybeans, Soybean Oil, Soybean Meal | million bushels / pounds | million metric tons |
| Cotton | Upland, Pima | million 480-lb bales | million 480-lb bales |
| Livestock | Beef, Pork, Poultry, Eggs, Dairy | million lbs / dozen / lbs | - (US only) |
| Sugar | Sugar | 1,000 short tons | - (US + Mexico only) |
2. 表格結構一致性
所有供需表遵循相同的平衡公式：
Ending Stocks = Beginning Stocks + Production + Imports - Total Use - Exports
3. 版本控制
- 每月報告可能修正前期數據
- 使用
content_hash追蹤數據變化 - 保留
revision_flag標記修正值
4. 解析優先級
- PDF 結構化解析（優先）
- HTML 表格解析（fallback）
- TXT 固定寬度解析（legacy） </essential_principles>
- Ingest - 抓取並解析最新或指定月份的 WASDE 報告
- Backfill - 批量回補歷史 WASDE 數據
- Validate - 驗證現有數據與最新報告的一致性
- Configure - 配置商品範圍、輸出路徑等參數
等待回應後再繼續。
讀取工作流程後，請完全遵循其步驟。
<reference_index>
商品參考文件 (references/)
| 文件 | 內容 |
|---|---|
| commodities-overview.md | 所有商品總覽與單位對照 |
| grains.md | 穀物類（Wheat, Corn, Rice, Barley, Sorghum, Oats） |
| oilseeds.md | 油籽類（Soybeans, Soybean Oil, Soybean Meal） |
| cotton.md | 棉花（US & World） |
| livestock.md | 畜產品（Beef, Pork, Poultry, Eggs, Dairy） |
| sugar.md | 糖（US & Mexico） |
| validation-rules.md | 驗證規則與合理性檢查 |
| failure-modes.md | 失敗模式與緩解策略 |
| </reference_index> |
<workflows_index>
| Workflow | Purpose |
|---|---|
| ingest.md | 抓取解析單一或多個 WASDE 報告 |
| backfill.md | 批量回補歷史數據 |
| validate.md | 驗證數據一致性與修正追蹤 |
| configure.md | 配置商品範圍與輸出設定 |
| </workflows_index> |
<templates_index>
| Template | Purpose |
|---|---|
| config.yaml | 標準配置文件模板 |
| us-balance-schema.yaml | US 供需表 schema |
| world-balance-schema.yaml | World 供需表 schema |
| </templates_index> |
<scripts_index>
| Script | Purpose |
|---|---|
| discover_releases.py | 發現 WASDE 發布日期與 URL |
| fetch_report.py | 下載 PDF/HTML 報告 |
| parse_tables.py | 解析表格提取數據 |
| validate_data.py | 執行驗證檢查 |
| </scripts_index> |
<examples_index>
範例輸出 (examples/)
| 文件 | 內容 |
|---|---|
| corn_us_balance.json | 美國玉米供需平衡表範例 |
| wheat_world_balance.json | 世界小麥供需平衡表範例 |
| ingest_status_success.json | 成功執行的狀態報告範例 |
| backfill_result.json | 批量回補作業結果範例 |
| </examples_index> |
<quick_start> CLI 快速開始：
What ships with it
25 files 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.
- examples/backfill_result.json 1.3 KB
- examples/corn_us_balance.json 921 B
- examples/ingest_status_success.json 1.9 KB
- examples/wheat_world_balance.json 1.4 KB
- manifest.json 431 B
- references/commodities-overview.md 4.8 KB
- references/cotton.md 4.8 KB
- references/failure-modes.md 8.3 KB
- references/grains.md 7.3 KB
- references/livestock.md 6.6 KB
- references/oilseeds.md 5.7 KB
- references/sugar.md 5.3 KB
- references/validation-rules.md 7.5 KB
- scripts/discover_releases.py 6.0 KB runs code
- scripts/fetch_report.py 7.0 KB runs code
- scripts/parse_tables.py 13 KB runs code
- scripts/validate_data.py 9.8 KB runs code
- skill.yaml 6.8 KB
- templates/config.yaml 4.9 KB
- templates/us-balance-schema.yaml 8.2 KB
- templates/world-balance-schema.yaml 7.1 KB
- workflows/backfill.md 8.0 KB
- workflows/configure.md 7.2 KB
- workflows/ingest.md 7.3 KB
- workflows/validate.md 11 KB
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.
- 12d ago First seen · 272 lines · 78 tokens per session scan A 619c294206aa
wasde-ingestor is a skill published in the GitHub repository fatfingererr/macro-skills (3 stars, last pushed 7mo ago), licensed MIT. It adds 78 tokens to every session and 2,505 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 2026-08-31.
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