agentmods.dev

knowns GEMINI.md

A compatibility instruction file for the Knowns repository-memory system when an agent runtime looks for GEMINI.md. It directs the agent to read KNOWNS.md, the repository’s main source of instructions, before working.

In plain words
What is it for?
Use it in repositories that use Knowns for task notes, documentation, workflow state, and agent guidance. It points agents to the appropriate search, retrieval, and code workflows.
Why use it?
It keeps runtimes that recognise GEMINI.md aligned with the repository’s canonical guidance. This reduces the chance that an agent follows outdated or incomplete instructions.

Instructions file for Gemini CLI

241 6d ago A scan 513 tokens original MIT
View the source file knowns-dev/knowns
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 instructions/knowns-dev/knowns/gemini-md
Clone the repo
git clone --depth 1 https://github.com/knowns-dev/knowns

Made for: Gemini CLI.

Per session 513 This file is loaded in full into every session.
When invoked 513 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.00513 $0.00513
Opus 5 $0.00257 $0.00257
Sonnet 5 $0.00103 $0.00103
Haiku 4.5 $0.00051 $0.00051

Measured 2d ago against content hash 7088184f24aa, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

knowns GEMINI.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 2d 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.

GEMINI.md · 43 lines

How it starts

The opening of the file, as written. The whole thing — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GEMINI

Compatibility entrypoint for runtimes that auto-detect GEMINI.md.

@KNOWNS.md

CRITICAL: You MUST read and follow KNOWNS.md in the repository root before doing any work. It is the canonical source of truth for all agent behavior in this project.

Canonical Guidance

  • Knowns is the repository memory layer for humans and the AI-friendly working layer for agents.
  • The source of truth for repo-level agent guidance is KNOWNS.md.
  • Read KNOWNS.md first whenever the runtime supports reading repository files.
  • Load behavior, memory policy, and workflow rules from KNOWNS.md; treat this file only as a compatibility entrypoint.
  • If this file and KNOWNS.md differ, follow KNOWNS.md.

Minimum Rules

  • Use Knowns as the canonical system for tasks, docs, templates, and workflow state.
  • Never manually edit Knowns-managed task or doc markdown.
  • Search first, then read only relevant docs and code.
  • Use search for discovery; use MCP retrieve tool when a workflow needs structured context with citations. Fall back to CLI knowns retrieve if MCP is unavailable.
  • For code operations, use code tool: symbols for structure, find for search, references/definition for navigation, rename/replace/insert/delete for editing. Use help("code.*") for details.
  • Plan before implementation unless the user explicitly overrides that workflow.
  • Validate before considering work complete.
  • Use memory tools: memory({ action: "list" }) at session start, memory({ action: "add" }) after tasks for reusable knowledge.
  • Proactively capture durable memory based on KNOWNS.md memory rules; do not wait for an explicit user instruction to save memory when scope and durability are clear.

Quick Reference

knowns doc list --plain               # List docs
knowns task list --plain              # List tasks
knowns task <id> --plain              # View task
knowns doc "<path>" --plain --smart  # View doc
knowns search "query" --plain        # Search docs/tasks
knowns retrieve "query" --json      # Retrieve structured context pack (CLI fallback)

Read the full file on GitHub · 43 lines

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 · 43 lines · 513 tokens per session scan A 7088184f24aa

Subscribe to this mod's changes

knowns GEMINI.md is an instructions file published in the GitHub repository knowns-dev/knowns (241 stars, last pushed 6d ago), licensed MIT. It adds 513 tokens to every session, about $0.0026 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.

Memory and contextaiai-agentsai-nativeai-workflowclicontext-management
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