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/longbkit/clisbot/agents-mdgit clone --depth 1 https://github.com/longbkit/clisbotWhat 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 | $0.02709 | $0.02709 |
| Opus 5 | $0.01354 | $0.01354 |
| Sonnet 5 | $0.00542 | $0.00542 |
| Haiku 4.5 | $0.00271 | $0.00271 |
Grade A, and why
clisbot 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 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.
How it starts
The opening of the file, as written. The whole thing — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
How To Code
Your work must go beyond satisfying functional and non-functional requirements with comprehensive tests: relentlessly raise code quality to the highest practical standard, making it readable, readily understandable, and maintainable. Use familiar, explicit logic and mental models so readers can infer behavior directly from the code; centralize genuinely shared behavior so each change is made once and benefits every consumer; and design for extension with abstractions at the right level, proactively creating or extending a shared abstraction when the product vision identifies a definite future consumer so later expansion reduces rather than compounds complexity. Treat naming and terminology as architecture: always consult docs/architecture/domain-language.md and docs/architecture/naming-conventions.md, update the appropriate canonical document when domain language or naming rules evolve, and use the naming-expert skill when choosing or changing names.
Scope
These rules apply to everything inside this repository.
The stable implementation contract lives in:
docs/architecture/architecture-overview.mddocs/architecture/surface-architecture.mddocs/architecture/runtime-architecture.mddocs/architecture/persistence-stores.mddocs/architecture/domain-language.mddocs/architecture/naming-conventions.md
If implementation conflicts with those docs:
- stop
- refactor toward the docs if the fix is clear
- ask the user before proceeding if the conflict changes behavior, architecture, or scope
Do not silently drift away from the architecture docs.
If you are asked to code in any repo and that repo or one of its subfolders has AGENTS.md, CLAUDE.md, or GEMINI.md, pick the one that applies to the current folder scope and follow it strictly.
First Read Order
Load context in this order unless the task is obviously narrower:
README.mddocs/overview/README.md- the architecture docs listed above
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.
- 2d ago First seen · 221 lines · 2,709 tokens per session scan A 6b2a3a790171
clisbot AGENTS.md is an instructions file published in the GitHub repository longbkit/clisbot (114 stars, last pushed 2d ago), licensed MIT. It adds 2,709 tokens to every session, about $0.0135 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
openagent CLAUDE.md
Claude Code instructions for the-open-agent/openagent, covering claude.md, commands, architecture, backend (go / beego) and frontend (react).
HARTOS CLAUDE.md
Instructions for hertz-ai/HARTOS, covering claude.md, project overview, master key - ai exclusion zone, branch discipline — main branch only (mandatory) and sibling repos — canonical filesystem paths.
sample-ai-assistant-on-agentcore AGENTS.md
AGENTS.md instructions for aws-samples/sample-ai-assistant-on-agentcore, covering agents.md — sparky ai assistant on bedrock agentcore, project structure, prerequisites, build and run commands and frontend.
Clouisle AGENTS.md
AGENTS.md instructions for clouisle/Clouisle, covering agents.md, project overview, top-level directories, core commands and backend.
Clouisle CLAUDE.md
Claude Code instructions for clouisle/Clouisle: Read and follow AGENTS.md before working in this repository.
Browser4 CLAUDE.md
Instructions for platonai/Browser4, covering browser4 — project context for claude, architecture, key dispatch chain (cli → browser), batch commands and e2e test structure.