2origin: Skill for Claude Code

.agents/skills/benxiang-protocol/SKILL.md

benxiang-protocol is a skill for Claude Code, Codex from dongsheng123132/2origin. It costs 141 tokens per session (1,609 once invoked), scanned A, original, no licence file.

A persistent project-state system that stores objects, relationships, status, constraints, and sources in an .origin package instead of relying only on chat history.

In plain words
What is it for?
Use it to persist and review project state, coordinate multiple agents, and record changes as traceable transactions.
Why use it?
It preserves context across conversations and agents, and records why each stored value exists. This helps reduce lost context, drifting shared state, and unclear ownership of decisions.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing. Also seen: installed under .agents/ (shared by several agents).

This is dongsheng123132/2origin's own configuration. It tells Claude Code and Codex how to work on 2origin itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything 2origin configures →

Reuse

Borrowing it

Nothing to install: this file belongs to dongsheng123132/2origin. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/dongsheng123132/2origin/main/.agents/skills/benxiang-protocol/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/dongsheng123132/2origin

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for benxiang-protocol

README.md
[![agentmods](https://agentmods.dev/badge/skills/dongsheng123132/2origin/benxiang-protocol/github.svg)](https://agentmods.dev/skills/dongsheng123132/2origin/benxiang-protocol)
Your own site
<a href="https://agentmods.dev/skills/dongsheng123132/2origin/benxiang-protocol"><img src="https://agentmods.dev/badge/skills/dongsheng123132/2origin/benxiang-protocol/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for benxiang-protocol

Your own site · 80×15
<a href="https://agentmods.dev/skills/dongsheng123132/2origin/benxiang-protocol"><img src="https://agentmods.dev/badge/skills/dongsheng123132/2origin/benxiang-protocol.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 141 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,609 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00141 $0.01609
Opus 5.5 $0.00056 $0.00644
Sonnet 5.5 $0.00028 $0.00322
Haiku 4.5 $0.00014 $0.00161

Measured 1mo ago against content hash 893c85c5425b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

benxiang-protocol 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 1mo 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.

.agents/skills/benxiang-protocol/SKILL.md · 131 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 1mo ago First seen · 131 lines · 141 tokens per session scan A 893c85c5425b

Subscribe to this mod's changes

benxiang-protocol is a skill published in the GitHub repository dongsheng123132/2origin (5 stars, last pushed 1mo ago), with no licence file. It adds 141 tokens to every session and 1,609 once invoked, about $0.0006 per session on Opus 5.5. 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 2026-09-05.

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