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 agentmods add skills/ernestolee13/para-knowledge-base/kb-ingestnpx skills add ernestolee13/para-knowledge-base --skill kb-ingestgit clone --depth 1 https://github.com/ernestolee13/para-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/ernestolee13/para-knowledge-base/kb-ingest)<a href="https://agentmods.dev/skills/ernestolee13/para-knowledge-base/kb-ingest"><img src="https://agentmods.dev/badge/skills/ernestolee13/para-knowledge-base/kb-ingest.svg" alt="Measured on agentmods" 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 | $0.03150 |
| Opus 5 | $0.00026 | $0.01575 |
| Sonnet 5 | $0.00010 | $0.00630 |
| Haiku 4.5 | $0.00005 | $0.00315 |
Grade A, and why
kb-ingest 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 5d 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 — 234 lines — stays where its author put it; the contents beside it link to each section on GitHub.
KB Ingest — Document Intake + Classification + Linking
Process new documents into the Knowledge Base. Reads content, classifies into the right PARA location, generates metadata, creates wikilinks, updates related documents, and maintains indexes.
Inbox/ is optional, not a prerequisite. Apply this workflow when the user directly asks to create, add, organize, or substantially integrate knowledge in the wiki. A direct write in its final PARA folder still performs ANALYZE, metadata, linking, index, validation, human log, and build telemetry steps; only MOVE is skipped.
Usage
/kb-ingest # Process all files in Inbox/
/kb-ingest path/to/file.md # Process a specific file
/kb-ingest path/to/folder/ # Process all .md files in a folder
"위키에 이 내용을 만들어줘" # Direct creation; route through the same workflow
Execution Flow
For each document to ingest:
0. START BUILD TELEMETRY
When telemetry is enabled, start one explicit ingest operation before reading or classifying source material. For a batch, start one operation for the whole batch, not one per file. Retain the exact operation_id and parent request_id printed by the bundled helper; reuse both in the summary.
PARA_KB_PLUGIN_ROOT="${CLAUDE_PLUGIN_ROOT:-${PLUGIN_ROOT:-}}"
python3 "$PARA_KB_PLUGIN_ROOT/scripts/para_kb_telemetry.py" build-start <<'JSON'
{"source":"kb-ingest-skill","source_kind":"inbox|direct|batch"}
JSON
Set source_kind from the actual entry route: inbox for an Inbox-origin document, direct for a direct wiki request or specified file, and batch for a multi-document run. The same bundled path works in Claude Code and Codex. Telemetry failure must not block a valid ingest, but do not invent or recover an operation id from a later unrelated request.
1. READ
- Read full document content
- Extract existing frontmatter (preserve if present)
- Identify document type: paper, note, reference, meeting, idea, log, etc.
- Note content length (affects summarization decision)
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.
- 5d ago First seen · 234 lines · 51 tokens per session scan A 7602528a83a1
kb-ingest is a skill published in the GitHub repository ernestolee13/para-knowledge-base (21 stars, last pushed today), licensed MIT. It adds 51 tokens to every session and 3,150 once invoked, about $0.0003 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 2026-08-30.
Other skills, from other repositories
ingest
Ingest a URL, file, raw text, or Inbox item into the LLM Wiki with the purpose gate, mothership link search, raw-source preservation, Wiki compilation, index/log update, and review; also responds to /ingest and 인제스트.
render-output
Convert vault content into downstream outputs like memos, reports, slide outlines, diagrams, and plot specifications.
wiki-ingest
Ingest exactly one research paper or source document into an open-llm-wiki vault. Use when the user explicitly asks to add, ingest, process, or publish a paper into the wiki. The workflow parses the source, drafts a source page, runs independent QA, publishes only after the quality gate passes, extracts and normalizes…
llm-wiki
Build and maintain a persistent, interlinked Obsidian-compatible markdown wiki using Karpathy's LLM Wiki pattern. Extension-backed with auto-generated metadata, guardrails, and 14 custom tools (+3 opt-in agent-trajectory tools).
youtube-fetcher
Turn a YouTube video into a structured, Obsidian-ready archival Markdown note containing its transcript, creator metadata, description, chapters, language, and capture provenance. Use when a user shares a YouTube URL or video ID and wants transcripts, captions, subtitles, notes, a knowledge-base record, summarization…
papers-download-from-list
Uses colocated paper download tools to download, verify, and repair local PDFs from obsidian-vault/paperlist.csv rows so that obsidian-vault/paperPDFs/ stays complete and deduplicated. Use when candidate rows are in state=Wait and should become Downloaded before the formal analysis chain.