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 flaqai/backlink_skills --skill backlink-workbook-deliverygit clone --depth 1 https://github.com/flaqai/backlink_skillsWrote 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/flaqai/backlink_skills/backlink-workbook-delivery)<a href="https://agentmods.dev/skills/flaqai/backlink_skills/backlink-workbook-delivery"><img src="https://agentmods.dev/badge/skills/flaqai/backlink_skills/backlink-workbook-delivery/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/flaqai/backlink_skills/backlink-workbook-delivery"><img src="https://agentmods.dev/badge/skills/flaqai/backlink_skills/backlink-workbook-delivery.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 | $0.00051 | $0.00531 |
| Opus 5.5 | $0.00020 | $0.00212 |
| Sonnet 5.5 | $0.00010 | $0.00106 |
| Haiku 4.5 | $0.00005 | $0.00053 |
Grade A, and why
backlink-workbook-delivery 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 27d 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
外链表格交付
把已经完成线路筛选的候选池变成可执行工作簿。此技能负责去重、批次冻结、费用分表、品牌显示、机械检查和视觉检查，不重新研究网站。
输入要求
每条候选至少有标准域名、完整 URL、投递条件、费用状态、适合品牌、来源和证据。批量线与质量线必须明确标记，不能混成无法追溯的总表。
去重和批次
按标准 URL、根域名和入口类型处理重复；与历史已投表、已导出批次和本次另一线路交叉检查。详细规则见 references/dedup-and-batches.md。
工作簿
使用环境中的电子表格技能和工作簿工具创建或修改 XLSX。保留源文件并另存新版本。默认每个线路一个工作簿，包含“免费”和“付费”两个工作表；最终可见列为：域名、URL、投递条件、适合品牌网站。具体合同见 references/workbook-contract.md。
若用户要求执行跟踪表，可在品牌下分别增加执行日期和执行情况列；未要求时不得擅自增加可见字段。
质量检查
- 在生成工作簿前，对导出 CSV 运行
scripts/validate_delivery_csv.py。 - 检查目标行数、空值、URL、重复、费用分组、品牌名称和历史冲突。
- 重新导入生成后的工作簿，检查工作表名、列名、数据行、公式错误和隐藏辅助列。
- 渲染并查看每张表顶部、底部和新增区域。视觉检查不能替代数据检查。
- 输出质量检查报告，记录源文件、去重数量、最终行数和状态边界。
完成边界
最终文件只能称为“执行表”或“待执行候选表”。没有提交回执和公开页证据时，不得称为已投递、已发布或已收录。
What ships with it
6 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.
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.
- 27d ago First seen · 35 lines · 51 tokens per session scan A b22e1a560336
backlink-workbook-delivery is a skill published in the GitHub repository flaqai/backlink_skills (789 stars, last pushed today), licensed MIT. It adds 51 tokens to every session and 531 once invoked, about $0.0002 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 2026-09-24.
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