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/ftshare-lab/agent-claim-network/claude-mdgit clone --depth 1 https://github.com/FTShare-Lab/agent-claim-networkWrote 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/ftshare-lab/agent-claim-network/claude-md)<a href="https://agentmods.dev/instructions/ftshare-lab/agent-claim-network/claude-md"><img src="https://agentmods.dev/badge/instructions/ftshare-lab/agent-claim-network/claude-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 5.1 | $0.00043 | $0.00043 |
| Opus 5 | $0.00022 | $0.00022 |
| Sonnet 5 | $0.00009 | $0.00009 |
| Haiku 4.5 | $0.00004 | $0.00004 |
Grade A, and why
agent-claim-network CLAUDE.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 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.
This is a copy
83% identical to kaneo CLAUDE.md — 8 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
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 · 6 lines · 43 tokens per session scan A 1960d4446095
agent-claim-network CLAUDE.md is an instructions file published in the GitHub repository FTShare-Lab/agent-claim-network (41 stars, last pushed yesterday), licensed Apache-2.0. It adds 43 tokens to every session, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 83% identical to kaneo CLAUDE.md, differing in 8 lines, and is treated as a copy.
Other instructions, from other repositories
lean-ctx AGENTS.md
AGENTS.md instructions for yvgude/lean-ctx, covering context engineering layer, mandatory multi-agent delivery, integration mode: replace, subagent compatibility (cursor / claude code) and cli commands (optimized shell, lower overhead).
lean-ctx copilot-instructions.md
Copilot instructions for yvgude/lean-ctx, a project described as: Control what your AI can see. LeanCTX (Lean Context) is the context intelligence layer for AI agents — one local Rust binary that decides what they read, remembers what they learn, guards what they touch, and proves what they save. 60–90% fewer tokens…
wayland-core copilot-instructions.md
Copilot instructions for FerroxLabs/wayland-core, covering ijfw rules, output discipline, memory routing, context discipline and cross-audit.
aidaemon AGENTS.md
AGENTS.md instructions for davo20019/aidaemon, a project described as: Personal AI daemon — Telegram interface, agentic tool use, MCP integration, email triggers, persistent memory.
icm CLAUDE.md
Claude Code instructions for rtk-ai/icm, covering projet: icm (infinite context memory), objectif, stack technique, structure du workspace and modèles de données.
remnic AGENTS.md
AGENTS.md instructions for joshuaswarren/remnic, covering remnic - agent guide, architecture boundaries (non-negotiable), upstream references, adapter implementation rules and openclaw compatibility window.