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/holetron-lab/fleet-memory/agents-mdgit clone --depth 1 https://github.com/Holetron-lab/fleet-memoryWhat 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 | $0.00025 | $0.00025 |
| Opus 5 | $0.00013 | $0.00013 |
| Sonnet 5 | $0.00005 | $0.00005 |
| Haiku 4.5 | $0.00003 | $0.00003 |
Grade A, and why
fleet-memory 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 yesterday.
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.
This is a copy
100% identical to hindsight AGENTS.md — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
AGENTS.md
See CLAUDE.md for project documentation and coding conventions.
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.
- yesterday First seen · 4 lines · 25 tokens per session scan A 16ee98024fdc
fleet-memory AGENTS.md is an instructions file published in the GitHub repository Holetron-lab/fleet-memory (0 stars, last pushed 4d ago), licensed MIT. It adds 25 tokens to every session, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to hindsight AGENTS.md, differing in 0 lines, and is treated as a copy.
Other instructions, from other repositories
pragma AGENTS.md
AGENTS.md instructions for pqpo/pragma, covering agents.md, 项目定位, 技术基线, 目录结构 and package 命名.
fusionpact-vectordb AGENTS.md
AGENTS.md instructions for FusionpactTech/fusionpact-vectordb, covering agents.md — fusionpact integration guide for ai agents, identity, capabilities, 1. hybrid retrieval engine and 2. agent memory (4 types).
m_flow AGENTS.md
AGENTS.md instructions for FlowElement-xinliuyuansu/m_flow, covering m-flow — developer & agent reference, 1. repository map, extension points, 2. local development and python backend (requires python 3.10 – 3.13).
kungfu copilot-instructions.md
Copilot instructions for kungfu-systems/kungfu: Read and follow AGENTS.md before proposing or running changes. It is the shared agent router for this repository, including the canonical Shifu development and build entrypoint.
second-brain AGENTS.md
Instructions for LindaHaviv/second-brain, covering instructions for ai coding agents, what to read first, the rules (non-negotiable), common tasks, the sanctioned way and enforcement, not just instructions.
Agent-Memory-Bridge AGENTS.md
Instructions for zzhang82/Agent-Memory-Bridge, covering agent memory bridge contributor instructions, setup and checks, architecture boundaries, mutation and migration invariants and benchmark expectations.