personal-ip-knowledge-builder

A tool for turning interviews, chats, résumés, public content, business materials, case studies, and existing documents into a long-term personal knowledge base for an AI-assisted public profile.

In plain words
What is it for?
It helps founders, experts, teachers, streamers, and consultants organize material for writing, responses, personal stories, and communication scripts.
Why use it?
It gathers a person’s experience, writing style, stories, and talking points in one organized source instead of leaving them scattered across files.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/limecloud/lime/personal-ip-knowledge-builder
Any agent
npx skills add limecloud/lime --skill personal-ip-knowledge-builder
Clone the repo
git clone --depth 1 https://github.com/limecloud/lime

Made for: Claude Code, Codex.

Per session 117 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,497 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00117 $0.01497
Opus 5 $0.00059 $0.00749
Sonnet 5 $0.00023 $0.00299
Haiku 4.5 $0.00012 $0.00150

Measured 2d ago against content hash c414a94e0c73, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

personal-ip-knowledge-builder 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 2d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/docx_to_markdown.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

lime-rs/resources/default-skills/personal-ip-knowledge-builder/SKILL.md · 142 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

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.

Changes

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.

  1. 2d ago First seen · 142 lines · 117 tokens per session scan A c414a94e0c73

Subscribe to this mod's changes

personal-ip-knowledge-builder is a skill published in the GitHub repository limecloud/lime (1,467 stars, last pushed 3d ago), with no licence file. It adds 117 tokens to every session and 1,497 once invoked, about $0.0006 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.

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