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/kitforai/kitforai/using-kit-for-ainpx skills add kitforai/kitforai --skill using-kit-for-aigit clone --depth 1 https://github.com/kitforai/kitforaiWrote 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/kitforai/kitforai/using-kit-for-ai)<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="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 | $0.00049 | $0.00385 |
| Opus 5 | $0.00024 | $0.00192 |
| Sonnet 5 | $0.00010 | $0.00077 |
| Haiku 4.5 | $0.00005 | $0.00038 |
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 6d 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
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
recallwith a short query describing the topic to recover prior context (user preferences, project facts, past decisions). - When you learn something durable: call
rememberwith 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_basefor hybrid RAG search with relevance scores;read_knowledge_basefor full content.write_knowledge_base/append_knowledge_basesave versioned documents the user can review — good for notes and generated reports.crawlbuilds 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
recallreturns nothing, say so. - Prefer
recallover asking the user to repeat things they've told you before.
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.
- 6d ago First seen · 37 lines · 49 tokens per session scan A 18f55f0ad0ea
using-kit-for-ai is a skill published in the GitHub repository kitforai/kitforai (91 stars, last pushed 1mo ago), licensed MIT. It adds 49 tokens to every session and 385 once invoked, about $0.0002 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
media-ingest
Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain. Multi-format handling with entity extraction and backlink propagation. Covers video-ingest, youtube-ingest, and book-ingest subtypes.
mem0-oss-to-platform
Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local Memory class) to the mem0 Platform / hosted / managed SDK (the MemoryClient class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g.…
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
agent-memory
../../../engineering/agent-memory/skills/agent-memory/SKILL.md.
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.
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…