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/iflow-ai/iflow-skillsnpx agentmods add skills/iflow-ai/iflow-skills/knowledge-baseWrote 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/iflow-ai/iflow-skills/knowledge-base)<a href="https://agentmods.dev/skills/iflow-ai/iflow-skills/knowledge-base"><img src="https://agentmods.dev/badge/skills/iflow-ai/iflow-skills/knowledge-base/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/iflow-ai/iflow-skills/knowledge-base"><img src="https://agentmods.dev/badge/skills/iflow-ai/iflow-skills/knowledge-base.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 | $0.00045 | $0.04164 |
| Opus 5 | $0.00023 | $0.02082 |
| Sonnet 5 | $0.00009 | $0.00833 |
| Haiku 4.5 | $0.00005 | $0.00416 |
Grade A, and why
happy-notes-knowledge-base scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -X POST "${IFLOW_URL}/api/v1/knowledge/upload" \ How it starts
The opening of the file, as written. The whole thing — 389 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Knowledge Base (知识库与文件管理)
Prerequisites: see root
../SKILL.mdfor setup, credentials, andiflow_api()helper.
通过 iflow API 管理知识库和文件，支持多种来源的内容导入。
完整数据结构和接口参数详见 references/api.md。
输入来源总览
| 来源 | 处理方式 | 接口 |
|---|---|---|
| 本地文件 (PDF/TXT/MARKDOWN/DOCX/PNG/JPG) | 直接上传 | POST /api/v1/knowledge/upload (multipart) |
| 网页 / 公众号文章 (URL) | URL 导入 | POST /api/v1/knowledge/upload (content 字段传 URL, type=HTML) |
| 纯文本内容 | Agent 创建 md 文件后上传 | POST /api/v1/knowledge/upload (multipart) |
文件限制：单文件最大 20MB，PDF 最多 500 页。超出限制的文件需先拆分后分批上传到同一知识库。
接口决策表
| 用户意图 | 调用接口 | 关键参数 |
|---|---|---|
| 创建知识库 | POST /api/v1/knowledge/saveCollection |
collectionName, description |
| 查看知识库列表 | GET /api/v1/knowledge/pageQueryCollections |
pageNum, pageSize, keyword |
| 查看知识库详情 | GET /api/v1/knowledge/queryCollection |
collectionId |
| 更新知识库信息 | POST /api/v1/knowledge/modifyCollections |
collectionId, collectionName, description |
| 删除知识库 | pipeline_kb.py delete 或 clearCollection API |
--kb --force，⚠️ 需用户确认 |
| 上传本地文件 | POST /api/v1/knowledge/upload |
multipart: file, collectionId, type |
| 通过 URL 导入网页 | POST /api/v1/knowledge/upload |
content(放URL), collectionId, type=HTML |
| 通过文本创建 | Agent 创建 md → POST /api/v1/knowledge/upload |
见「文本导入」 |
| 查看文件列表 | POST /api/v1/knowledge/pageQueryContents |
collectionId, pageNum, pageSize, fileName |
| 查询单个文件详情 | GET /api/v1/knowledge/queryContent |
collectionId, contentId |
| 查询文件解析状态 | POST /api/v1/knowledge/parseStatusThenCallBack |
reqItems[].contentType, reqItems[].contentId, reqItems[].fileId |
| 更新/重命名文件 | POST /api/v1/knowledge/updateContent2Collection |
collectionId, contentType, contentId, removeFlag=false, extra.fileName |
| 删除单个文件 | POST /api/v1/knowledge/updateContent2Collection |
collectionId, contentType, contentId, removeFlag=true，⚠️ 需用户确认 |
| 批量删除文件 | POST /api/v1/knowledge/batchDeleteCollectionContent |
collectionId, contentIds[] |
| 语义检索知识库内容片段 | POST /api/v1/knowledge/searchChunk |
query, collectionId, contentIds（可选） |
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.
- 8d ago First seen · 389 lines · 45 tokens per session scan A c6137440507c
happy-notes-knowledge-base is a skill published in the GitHub repository iflow-ai/iflow-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 45 tokens to every session and 4,164 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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