token-lifecycle-review

token-lifecycle-review is a skill for Claude Code, Codex from liuxinye23/CyberStrikeAI. It costs 27 tokens per session (828 once invoked), scanned A, original, Apache-2.0.

A security review skill for the life cycle of JWTs, API tokens, refresh tokens, and OAuth or OIDC credentials. It checks how credentials are issued, renewed, revoked, scoped, transmitted, and stored.

In plain words
What is it for?
Use it to audit login, token refresh, logout, password or role changes, tenant switching, and multi-device access. It also suggests checks with token analyzers, HTTP tests, and nuclei.
Why use it?
It helps find credentials that last too long, keep working after security changes, have excessive permissions, or leak through logs and client storage.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to audit login, token refresh, logout, password or role changes, tenant switching, and multi-device access. It also suggests checks with token analyzers, HTTP tests, and nuclei.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/liuxinye23/cyberstrikeai/token-lifecycle-review
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 liuxinye23/CyberStrikeAI --skill token-lifecycle-review
Clone the repo
git clone --depth 1 https://github.com/liuxinye23/CyberStrikeAI

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 token-lifecycle-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/liuxinye23/cyberstrikeai/token-lifecycle-review/github.svg)](https://agentmods.dev/skills/liuxinye23/cyberstrikeai/token-lifecycle-review)
Your own site
<a href="https://agentmods.dev/skills/liuxinye23/cyberstrikeai/token-lifecycle-review"><img src="https://agentmods.dev/badge/skills/liuxinye23/cyberstrikeai/token-lifecycle-review/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 token-lifecycle-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/liuxinye23/cyberstrikeai/token-lifecycle-review"><img src="https://agentmods.dev/badge/skills/liuxinye23/cyberstrikeai/token-lifecycle-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 828 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 $0.00027 $0.00828
Opus 5 $0.00014 $0.00414
Sonnet 5 $0.00005 $0.00166
Haiku 4.5 $0.00003 $0.00083

Measured 10d ago against content hash 4a8654bea53e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

token-lifecycle-review 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 10d 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/token-lifecycle-review/SKILL.md · 100 lines

What it actually says

Token 生命周期审计

何时使用

当系统使用 JWT、Opaque Token、刷新令牌、长期 API Token、OAuth/OIDC 登录或多端共享凭据时,优先调用本技能。

快速流程

  1. 明确所有 Token 类型:访问令牌、刷新令牌、一次性票据、设备令牌、Webhook 密钥。
  2. 记录每类 Token 的签发入口、有效期、续期方式、撤销条件和绑定对象。
  3. 对登录、刷新、登出、密码变更、权限变更、租户切换后做一致性复测。
  4. 检查声明、受众、作用域、设备绑定与轮换策略。

重点检查

签发与绑定

  • Token 是否绑定正确的用户、租户、设备、客户端类型。
  • 是否把高权限信息、内部环境信息、调试字段直接写入声明。
  • 多客户端共用同一 Token 体系时,受众和来源是否可区分。

生命周期

  • 访问令牌是否过长;刷新令牌是否缺乏轮换与撤销。
  • 刷新后旧令牌是否保留过长并发窗口。
  • 密码修改、角色变更、账号冻结、MFA 变更后,旧 Token 是否立即失效。

作用域与最小权限

  • Scope / role / permissions 是否过宽。
  • 不同业务域是否复用同一超大权限令牌。
  • 机器到机器 Token 与用户态 Token 是否清晰分离。

传输与存储

  • 浏览器端是否把长期 Token 暴露在不必要的位置,例如可被脚本访问的存储。
  • 日志、错误响应、调试面板、前端配置中是否泄露真实 Token 值。

建议工具

jwt-analyzer

  • 解码头部和载荷,核对 issaudsubexpiatnbf、scope/role 字段。
  • 比较普通用户、高权限用户、跨租户用户的声明差异。

http-framework-test

  • 复测登录、刷新、登出、权限变化后的关键接口。
  • 对“旧 Token + 新状态”的组合进行只读验证,观察是否还被接受。

nuclei

  • 作为补充检查默认 OIDC 路径、调试端点、公开元数据、常见暴露接口。

证据要求

  • 保存各类 Token 的声明摘要,不要在报告里泄露完整密文。
  • 对刷新、撤销、登出前后同一接口做并排对比。
  • 明确写出“旧 Token 是否仍可访问什么资源”。

修复建议方向

  • 收紧有效期并实施刷新轮换。
  • 在密码、MFA、角色与租户切换后统一吊销旧凭据。
  • 按客户端类型与业务域拆分 Token 受众和最小权限。
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. 10d ago First seen · 100 lines · 27 tokens per session scan A 4a8654bea53e

Subscribe to this mod's changes

token-lifecycle-review is a skill published in the GitHub repository liuxinye23/CyberStrikeAI (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 27 tokens to every session and 828 once invoked, about $0.0001 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 2026-08-31.

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