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/shenyangs/guanlan/claude-mdgit clone --depth 1 https://github.com/shenyangs/GuanlanWrote 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/shenyangs/guanlan/claude-md)<a href="https://agentmods.dev/instructions/shenyangs/guanlan/claude-md"><img src="https://agentmods.dev/badge/instructions/shenyangs/guanlan/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 | $0.00867 | $0.00867 |
| Opus 5 | $0.00434 | $0.00434 |
| Sonnet 5 | $0.00173 | $0.00173 |
| Haiku 4.5 | $0.00087 | $0.00087 |
Grade A, and why
Guanlan 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.
How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
Project
观澜 / Guanlan — CLI-first, read-first Chinese-web research substrate for AI agents.
Positioning: source router + webpage reader + hotnews/feeds observer + evidence packet builder + local archive/RAG bridge, with explicit authorization boundaries.
License: MIT | Current version: 0.5.10 | Stage: Alpha
Durable Memory Surfaces
Before changing Agent behavior, MCP tools, workflows, browser-assisted evidence, benchmarks, or release automation, reread:
AGENTS.mddocs/agent-playbook.mddocs/agent-usage.mdguanlan/skill/SKILL.md
These files define how downstream agents should actually operate Guanlan.
Development Commands
uv sync --all-extras --dev
uv run guanlan version
uv run ruff check guanlan tests
uv run pytest
scripts/pre_release_status.sh
Release-quality checks:
guanlan quality foundational
guanlan quality coverage
guanlan quality regression
guanlan quality robustness
guanlan quality backend-fixtures
guanlan eval benchmark
scripts/release_gate.sh
Core Structure
guanlan/cli.py— CLI entry point and command dispatchguanlan/webtools.py— public search/read/research orchestrationguanlan/router.py— local intent routing and source-role planningguanlan/source_registry.py/guanlan/source_packs.py— source identity, roles, and curated packsguanlan/browser_assist.py— read-only browser-assisted evidence planningguanlan/archive.py— local SQLite archive, quality audit, RAG/Wiki export, browser-note ingestguanlan/hotnews.py/guanlan/feeds.py— hotnews, RSS, and trend observationguanlan/integrations/mcp_server.py— MCP integrationguanlan/skill/— packaged Agent skill surfacesdocs/— public docs and agent playbookstests/— unit, contract, regression, robustness, CLI, MCP, and release smoke tests
Conventions
- Python 3.10+.
- Commit subjects, changelog entries, and release notes are Chinese-first. Conventional prefixes such as
feat:/fix:/docs:are fine. - Keep code identifiers English, user-facing CLI/docs Chinese-first where appropriate.
- Do not shrink default result pools or remove agent-facing evidence metadata without an explicit migration note and tests.
- Treat route plans, source cards, risk tags, quality reports, trace, and archive metadata as downstream Agent contracts.
- Prefer graceful degradation over silent failure: blocked backend, WAF, captcha, dynamic shell, stale cache, partial salvage, and external fetch strategy must be visible.
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 · 84 lines · 867 tokens per session scan A b804ac1f84d0
Guanlan CLAUDE.md is an instructions file published in the GitHub repository shenyangs/Guanlan (55 stars, last pushed 6d ago), licensed MIT. It adds 867 tokens to every session, about $0.0043 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
senpi AGENTS.md
AGENTS.md instructions for code-yeongyu/senpi, covering senpi repository guide, mandatory execution protocols — non-negotiable, protocol 1 — explicitly requested modifications, protocol 2 — user-requested pr reviews and structure.
easy-notion-mcp CLAUDE.md
Claude Code instructions for Grey-Iris/easy-notion-mcp, covering easy-notion-mcp, open source context, .meta/ publication policy (hybrid, 2026-07-02), standing priorities and commands.
adeu GEMINI.md
Gemini CLI instructions for dealfluence/adeu, covering adeu — native track changes for ai, available tools, readdocx, processdocumentbatch and applytextrevision.
openings-mcp AGENTS.md
Instructions for amikai/openings-mcp, a project described as: 💼 One MCP server to search job boards and company career sites.
MCP-Airflow-API copilot-instructions.md
Instructions for call518/MCP-Airflow-API, covering copilot instructions for mcp-airflow-api, project architecture, critical patterns, functions.py - persistent session with retry strategy and standard pattern in airflowapi.py.
brapi-mcp-server AGENTS.md
Instructions for cyanheads/brapi-mcp-server, covering agent protocol, what's next?, core rules, patterns and tool — connection bootstrap.