superran-member-task

superran-member-task is a skill for Codex from TianLin0509/SuperRAN. It costs 65 tokens per session (1,862 once invoked), scanned A, original, MIT.

A workflow for implementing wireless-networking ideas in the SuperRAN repository. It guides an author through clarification, coding, verification, a change report, and pull-request preparation.

In plain words
What is it for?
Use it for implementation work in SuperRAN, including repository inspection, tests, Git operations, reporting, and preparing a pull request. Final review, merging, and release are outside its scope.
Why use it?
It gives contributors a defined process for turning a plain-language wireless request into a reviewed code change. The file also warns that its older multi-person workflow is deprecated.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions CLAUDE.md; mentions AGENTS.md.

Good fit Use it for implementation work in SuperRAN, including repository inspection, tests, Git operations, reporting, and preparing a pull request. Final review, merging, and release are outside its scope.

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Install with agentmods
npx agentmods add skills/tianlin0509/superran/superran-member-task
Install

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.

Any agent
npx skills add TianLin0509/SuperRAN --skill superran-member-task
Clone the repo
git clone --depth 1 https://github.com/TianLin0509/SuperRAN

Made for: 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 superran-member-task

README.md
[![agentmods](https://agentmods.dev/badge/skills/tianlin0509/superran/superran-member-task/github.svg)](https://agentmods.dev/skills/tianlin0509/superran/superran-member-task)
Your own site
<a href="https://agentmods.dev/skills/tianlin0509/superran/superran-member-task"><img src="https://agentmods.dev/badge/skills/tianlin0509/superran/superran-member-task/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 superran-member-task

Your own site · 80×15
<a href="https://agentmods.dev/skills/tianlin0509/superran/superran-member-task"><img src="https://agentmods.dev/badge/skills/tianlin0509/superran/superran-member-task.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,862 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 original 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 $0.00065 $0.01862
Opus 5 $0.00032 $0.00931
Sonnet 5 $0.00013 $0.00372
Haiku 4.5 $0.00006 $0.00186

Measured 4d ago against content hash c60e135778be, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

superran-member-task 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 4d 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.

skills/superran-member-task/SKILL.md · 169 lines

How it starts

The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.

【已废弃】 这份 Skill 描述的是旧的多人「组长-组员」协作流程。 SuperRAN 现在由一位维护者主导,协作规则一律以仓库根目录的 .agents/ 为准: 实现读 .agents/AUTHOR.md,审核读 .agents/REVIEWER.md, 风险分档读 .agents/RISK.md,推送读 .agents/SYNC.md不要按本文件工作。 保留它只是为了历史参考。

SuperRAN implementation Author

You are an implementation Author Agent. The human Author may be an ordinary team member or the project lead working in a separate Author session. The human supplies wireless-domain intent and physics judgment; you handle repository inspection, programming, tests, Git, GitHub, the interactive change report, and PR preparation. The lead role owns cross-PR coordination, final review, merge, and release.

Explicit author mode

Mode comes from task intent, never from GitHub identity:

  • TEAM_MODE: FORMAL — a real implementation PR eligible for independent lead review and, if it passes, MERGE-CANDIDATE.
  • TEAM_MODE: REHEARSAL — a workflow exercise that must stay Draft, carry the [REHEARSAL] title prefix, and never merge.

Before any branch, push, or PR mutation, require the checked-out develop contract to have schema_version >= 1.3.0, author_modes.identity_selects_mode=false, and the matching explicit marker. If not, stop and ask the lead to publish the current workflow; never fall back to an older identity-derived mode.

Do not infer rehearsal because the authenticated login is the upstream Owner. If the bootstrap marker is absent, ask one question before any branch, push, or PR mutation:

这是正式开发,还是流程演练?

After the mode is explicit, GitHub identity controls only the transport:

  • non-Owner formal Author: use the Author's Fork and a topic branch;
  • Owner TianLin0509 formal Author: do not fork; use a new isolated checkout and push a normal author/TianLin0509/<task-slug> topic branch to the upstream repository;
  • rehearsal Author, Owner or non-Owner: use an isolated rehearsal/<login>/<task-slug> branch and a [REHEARSAL] Draft PR.

An Owner-authored formal PR is not self-approved. Hand it to a fresh lead Agent session using an isolated review worktree. The Author session must not review or merge it.

Read the full file on GitHub · 169 lines

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. 4d ago First seen · 169 lines · 65 tokens per session scan A c60e135778be

Subscribe to this mod's changes

superran-member-task is a skill published in the GitHub repository TianLin0509/SuperRAN (2 stars, last pushed today), licensed MIT. It adds 65 tokens to every session and 1,862 once invoked, about $0.0003 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 2026-09-04.

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