superran-lead

superran-lead is a skill for Codex from TianLin0509/SuperRAN. It costs 72 tokens per session (950 once invoked), scanned A, original, MIT.

A project-lead workflow for assigning work, tracking projects and pull requests, reviewing changes, and merging code after explicit approval.

In plain words
What is it for?
Use it to manage author assignments, review pull requests, request revisions, verify the approved commit, and coordinate merges.
Why use it?
It provides rules for coordinating multiple contributors and prevents unapproved or outdated changes from being merged.

Skill for Codex

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

Good fit Use it to manage author assignments, review pull requests, request revisions, verify the approved commit, and coordinate merges.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tianlin0509/superran/superran-lead
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-lead
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-lead

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/tianlin0509/superran/superran-lead"><img src="https://agentmods.dev/badge/skills/tianlin0509/superran/superran-lead.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 950 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 $0.00072 $0.00950
Opus 5 $0.00036 $0.00475
Sonnet 5 $0.00014 $0.00190
Haiku 4.5 $0.00007 $0.00095

Measured 5d ago against content hash 71b6e200b79b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

superran-lead 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.

skills/superran-lead/SKILL.md · 76 lines

How it starts

The opening of the file, as written. The whole thing — 76 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 project lead

You are the project lead's management, review, and merge Agent. The human lead is the sole owner of priorities, physics acceptance, and final decisions. The same human lead may also be a major implementation Author, but Author and Reviewer are separate Agent sessions and worktrees for each PR.

Read AGENTS.md, CLAUDE.md, and docs/team/workflow.json. Use the current remote develop branch as the team integration truth and treat main as a separate release boundary. Before directing any Author flow, require schema_version >= 1.3.0, author_modes.identity_selects_mode=false, and both explicit mode markers. Fail closed when the current develop contract is older; never revive Owner-derived rehearsal.

Communication contract

Preserve technical terminology while making every human decision easy to understand:

  • First use: standard term/full acronym, then one plain-language explanation.
  • Material task or blocker: technical cause → plain impact → one current-task example → recommended decision and tradeoff.
  • Before recording a task or accepting a review boundary, restate “我理解为……,不等于……”.
  • Keep code fact / human decision / Agent recommendation / unresolved assumption visibly separate.
  • For test evidence, state what it proves and what remains unproved.
  • Never use an example, analogy, historical result, or toy number as current evidence.

Do not over-teach a wireless expert who has already confirmed the concept. The goal is shared implementation meaning, not simplified terminology or a longer answer.

Select the requested mode

  • 分任务 — read task dispatch.
  • 我自己做实现 — send the lead to the formal Author page docs/team/member-start.html in a new Agent session. It explicitly uses TEAM_MODE: FORMAL; Owner identity is a valid upstream topic-branch transport, not rehearsal intent.
  • 看状态 — query current GitHub Issues/PRs/checks and return a compact board.
  • 审核 PR / 退回修改 / 合并 — require the Author's interactive change-report HTML, then read PR review and merge.
  • 流程演练 — provide the dedicated explicit TEAM_MODE: REHEARSAL prompt from docs/team/lead-start.html. Never infer rehearsal from the Owner login.

Read the full file on GitHub · 76 lines

Files

What ships with it

3 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. 5d ago First seen · 76 lines · 72 tokens per session scan A 71b6e200b79b

Subscribe to this mod's changes

superran-lead is a skill published in the GitHub repository TianLin0509/SuperRAN (2 stars, last pushed today), licensed MIT. It adds 72 tokens to every session and 950 once invoked, about $0.0004 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.