What is using-kit-for-ai?

A toolkit for persistent memory, searchable knowledge bases, and converting web pages or files into Markdown or JSON. It connects an agent to stored information that can be recalled across sessions.

Use it to remember or recall facts, search or read knowledge bases, crawl websites, save documents, append notes, or convert a URL into clean Markdown or structured JSON.

It reduces repeated explanations and makes saved project facts, documents, and website content easier to retrieve. It also supports reviewing and versioning written knowledge-base content.

using-kit-for-ai — Skill for Claude Code by kitforai/kitforai

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.

Any agent

npx skills add kitforai/kitforai --skill using-kit-for-ai

Clone the repo

git clone --depth 1 https://github.com/kitforai/kitforai

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/kitforai/kitforai/using-kit-for-ai/github.svg)](https://agentmods.dev/skills/kitforai/kitforai/using-kit-for-ai)

Your own site

<a href="https://agentmods.dev/skills/kitforai/kitforai/using-kit-for-ai"><img src="https://agentmods.dev/badge/skills/kitforai/kitforai/using-kit-for-ai/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/kitforai/kitforai/using-kit-for-ai"><img src="https://agentmods.dev/badge/skills/kitforai/kitforai/using-kit-for-ai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 385 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original 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.

Model	Per session	Once invoked
Fable 5.1	$0.00049	$0.00385
Opus 5.5	$0.00020	$0.00154
Sonnet 5.5	$0.00010	$0.00077
Haiku 4.5	$0.00005	$0.00038

Measured 1mo ago against content hash 18f55f0ad0ea, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

using-kit-for-ai 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 1mo 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.

.claude/skills/using-kit-for-ai/SKILL.md · 37 lines

What it actually says

Using Kit for AI

Kit for AI gives you persistent memory and knowledge tools over MCP. Auth is the KITFORAI_API_KEY environment variable (create a key at https://kitforai.com/app/settings; full setup: https://kitforai.com/llm-setup).

Memory (the core habit)

Start of a task: call recall with a short query describing the topic to recover prior context (user preferences, project facts, past decisions).
When you learn something durable: call remember with ONE focused fact per call. Near-duplicates are deduped server-side, so remember liberally.
Memories are stored in the user's auto-created "Memory" knowledge base — they can review, edit, and revert everything at https://kitforai.com/app/kbs.

Knowledge bases

list_knowledge_bases → what exists; search_knowledge_base for hybrid RAG search with relevance scores; read_knowledge_base for full content.
write_knowledge_base / append_knowledge_base save versioned documents the user can review — good for notes and generated reports.
crawl builds a searchable KB from a website (same-domain, bounded).

Conversion

convert_url → clean Markdown or structured JSON from any page or file URL.

Rules

Never invent memory contents — if recall returns nothing, say so.
Prefer recall over asking the user to repeat things they've told you before.

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.

1mo ago First seen · 37 lines · 49 tokens per session scan A 18f55f0ad0ea

Subscribe to this mod's changes

using-kit-for-ai is a skill published in the GitHub repository kitforai/kitforai (79 stars, last pushed 3mo ago), licensed MIT. It adds 49 tokens to every session and 385 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 2026-08-30.

Memory and context

knowledge-ingest

Ingest documents, articles, conversations, or supplied text into Knowledge with retained originals, sourced claims, entity updates, timelines, and cross-links; also learn durable lessons from a set of conversations, transcripts, or past sessions (/learn), including the Learn from conversations and Learn from Memory…

openclaw/openclaw · 79 tokens

mem0-oss-to-platform

Plan, then execute, a migration of a project from the mem0 open-source / self-hosted SDK (local Memory class) to the mem0 Platform / hosted SDK (MemoryClient). TRIGGER when: the developer wants to move, switch, or migrate mem0 off OSS/self-hosted to the hosted API, e.g. "migrate my mem0 setup to the platform", "switch…

mem0ai/mem0 · 217 tokens

forget

Remove a personal fact, preference, relationship detail, topic, or prior event from Muse's active memory and stop existing copies or automations from bringing it back. Use for explicit requests such as 'forget that', 'don't remember this about me', or 'remove that from your memory'. Do not use when 'forget it' merely…

asgeirtj/system_prompts_leaks · 74 tokens

Cortex

LifeOS memory, prior-session recall, and learning capture. USE WHEN capture this learning, document this learning, what did we learn recently, recent learnings, cortex, knowledge, knowledge base, search knowledge, what do we know about, archive, harvest, knowledge status, develop note, add to knowledge, add a people…

danielmiessler/LifeOS · 184 tokens

memory

Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.

opensquilla/opensquilla · 44 tokens

ha-data-stores

Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…

shiwenwen/hope-agent · 115 tokens