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/canyonroad/agentsh/claude-mdgit clone --depth 1 https://github.com/canyonroad/agentshWrote 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/canyonroad/agentsh/claude-md)<a href="https://agentmods.dev/instructions/canyonroad/agentsh/claude-md"><img src="https://agentmods.dev/badge/instructions/canyonroad/agentsh/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 | $0.00163 | $0.00163 |
| Opus 5 | $0.00081 | $0.00081 |
| Sonnet 5 | $0.00033 | $0.00033 |
| Haiku 4.5 | $0.00016 | $0.00016 |
Grade A, and why
agentsh 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 5d 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.
What it actually says
Claude Code Guidelines
Read and follow AGENTS.md for cross-platform development rules.
Project Structure
cmd/- CLI entry pointsinternal/- Private packagespkg/- Public packagesinternal/platform/- OS-specific implementations (darwin, windows, linux)
Build & Test
go build ./... # Build all
go test ./... # Test all
GOOS=windows go build ./... # Verify Windows cross-compile
Before Committing
- Verify cross-compilation:
GOOS=windows go build ./... - Run tests:
go test ./... - Check for hardcoded paths or OS-specific assumptions
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.
- 5d ago First seen · 25 lines · 163 tokens per session scan A a321ea58c8b7
agentsh CLAUDE.md is an instructions file published in the GitHub repository canyonroad/agentsh (382 stars, last pushed 29d ago), licensed Apache-2.0. It adds 163 tokens to every session, about $0.0008 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
hindsight CLAUDE.md
Claude Code instructions for vectorize-io/hindsight, covering claude.md, project overview, development commands, local development (api + ui) and start both api server and control plane ui.
codedb AGENTS.md
AGENTS.md instructions for justrach/codedb, covering codedb agent guidelines, what codedb is (and isn't), review guidelines, pre-merge verification and security-sensitive areas.
claude-code-settings copilot-instructions.md
Instructions for feiskyer/claude-code-settings, covering claude.md, environment setup, required dependencies, configuration and skills.
pi CLAUDE.md
Instructions for share-skills/pi, covering 强制, 内部目标（不可写入公开文件）, 跑分规范 and eval 驱动优化规则.
harness-sdk CLAUDE.md
Claude Code instructions for strands-agents/harness-sdk, a project described as: Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
nextjs-skills CLAUDE.md
Instructions for mohamed-hossam1/nextjs-skills: All contribution rules — style, naming, file layout, verification — live in AGENTS.md. Read that first.