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/carldog/openchronicle-mcp/agents-mdgit clone --depth 1 https://github.com/CarlDog/openchronicle-mcpWrote 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/carldog/openchronicle-mcp/agents-md)<a href="https://agentmods.dev/instructions/carldog/openchronicle-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/carldog/openchronicle-mcp/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 5.1 | $0.07351 | $0.07351 |
| Opus 5 | $0.03675 | $0.03675 |
| Sonnet 5 | $0.01470 | $0.01470 |
| Haiku 4.5 | $0.00735 | $0.00735 |
Grade A, and why
openchronicle-mcp 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 today.
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.
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.
- today Changed · +38 lines · +632 tokens per session 993240a08bdf
- 6d ago First seen · 548 lines · 6,719 tokens per session scan A 47022a446e74
openchronicle-mcp AGENTS.md is an instructions file published in the GitHub repository CarlDog/openchronicle-mcp (16 stars, last pushed today), licensed AGPL-3.0. It adds 7,351 tokens to every session, about $0.0368 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
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Claude Code instructions for MemPalace/mempalace, covering claude.md, the mission, design principles, contributing and setup.
dify AGENTS.md
AGENTS.md instructions for langgenius/dify, covering agents.md, repository gotchas and frontend workflow.
activity-frames AGENTS.md
Instructions for nossa-y/activity-frames, covering can i install it without asking?, the mental model (10 seconds), fastest integration: mcp, from python and things you should not do.
basic-memory CLAUDE.md
Claude Code instructions for basicmachines-co/basic-memory, a project described as: AI conversations that actually remember. Never re-explain your project to your AI again. Join our Discord: https://discord.gg/tyvKNccgqN.
mem0 CLAUDE.md
Claude Code instructions for mem0ai/mem0, a project described as: The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
mempalace AGENTS.md
AGENTS.md instructions for MemPalace/mempalace, a project described as: The best-benchmarked open-source AI memory system. And it's free.