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/seamus-brady/springdrift/claude-mdgit clone --depth 1 https://github.com/seamus-brady/springdriftWrote 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/seamus-brady/springdrift/claude-md)<a href="https://agentmods.dev/instructions/seamus-brady/springdrift/claude-md"><img src="https://agentmods.dev/badge/instructions/seamus-brady/springdrift/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 | $0.25304 | $0.25304 |
| Opus 5 | $0.12652 | $0.12652 |
| Sonnet 5 | $0.05061 | $0.05061 |
| Haiku 4.5 | $0.02530 | $0.02530 |
Grade A, and why
springdrift CLAUDE.md scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
The coder agent has six sandbox tools: run_code (execute scripts), serve/stop_serve (long-lived processes), sandbox_status (slot states and ports), workspace_ls (list workspace files), and sandbox_exec (direct shell comm The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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 · 1,504 lines · 25,304 tokens per session scan A d7dc9e8d2482
springdrift CLAUDE.md is an instructions file published in the GitHub repository seamus-brady/springdrift (46 stars, last pushed 4mo ago), licensed AGPL-3.0. It adds 25,304 tokens to every session, about $0.1265 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
ii-agent CLAUDE.md
Instructions for Intelligent-Internet/ii-agent, covering ii-agent project guide, project overview, architecture, domain structure and orm base & id conventions.
ii-agent AGENTS.md
Instructions for Intelligent-Internet/ii-agent, covering ii-agent contributor guide, quick start, repository map, mandatory rules and architecture.
innovation-lab-examples general.instructions.md
Instructions for fetchai/innovation-lab-examples, covering general instructions, project context, code quality & formatting, ai assistance and development commands.
innovation-lab-examples test.instructions.md
Instructions for fetchai/innovation-lab-examples: When writing tests for canister functions.
innovation-lab-examples python.instructions.md
Instructions for fetchai/innovation-lab-examples, a project described as: 80+ production-ready AI agent examples in Python — build autonomous agents, multi-agent systems and agentic AI with uAgents, ASI:One, MCP, A2A, LangChain, CrewAI, Gemini, Claude and OpenAI.
innovation-lab-examples typescript.instructions.md
Instructions for fetchai/innovation-lab-examples, a project described as: 80+ production-ready AI agent examples in Python — build autonomous agents, multi-agent systems and agentic AI with uAgents, ASI:One, MCP, A2A, LangChain, CrewAI, Gemini, Claude and OpenAI.