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 instructions/ismaelkedir/knowit/agents-mdgit clone --depth 1 https://github.com/ismaelkedir/knowitWrote 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/instructions/ismaelkedir/knowit/agents-md)<a href="https://agentmods.dev/instructions/ismaelkedir/knowit/agents-md"><img src="https://agentmods.dev/badge/instructions/ismaelkedir/knowit/agents-md.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 | $0.00134 | $0.00134 |
| Opus 5 | $0.00067 | $0.00067 |
| Sonnet 5 | $0.00027 | $0.00027 |
| Haiku 4.5 | $0.00013 | $0.00013 |
Grade A, and why
knowit AGENTS.md 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 4d 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
Knowit Memory
This project uses Knowit as the default persistent knowledge base for AI coding agents.
- Before planning or implementing, check Knowit for relevant project context.
- Use
resolve_contextfor implementation context andstore_knowledgeorcapture_session_learningsto persist durable knowledge. - After finishing a task, store any durable rules, decisions, patterns, or conventions back into Knowit.
- Prefer Knowit over repo-local markdown memory files unless the user explicitly asks for a file.
- When a task creates durable documentation, consult Knowit first and only write repo markdown when explicitly requested.
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.
- 4d ago First seen · 12 lines · 134 tokens per session scan A ad3b38b1c858
knowit AGENTS.md is an instructions file published in the GitHub repository ismaelkedir/knowit (12 stars, last pushed 1mo ago), licensed MIT. It adds 134 tokens to every session, about $0.0007 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 instructions, from other repositories
memex AGENTS.md
Instructions for iamtouchskyer/memex, covering memex — agent working instructions, what is this, before you touch anything, how the code is layered and files you'll actually need.
brain-os AGENTS.md
Instructions for brainOS-HQ/brain-os, covering agents.md, context, the hard rule, tool routing (in order) and mutation safety.
kb AGENTS.md
Instructions for hraness/kb, a project described as: A knowledge base for coding agents, built from Markdown, backlinks, semantic search, and Git context.
brain-os CLAUDE.md
Instructions for brainOS-HQ/brain-os, covering claude.md, agent instructions, build / dev, publish flow and project memory.
superlocalmemory copilot-instructions.md
Copilot instructions for qualixar/superlocalmemory, covering superlocalmemory (slm) — agent rules, session start, remember, recall and optimize (fail-open).
leteo AGENTS.md
AGENTS.md instructions for asanabrial/leteo, covering working on leteo, keep openspec/ current, building and testing, rules that have cost this codebase real bugs and comments and commits.