Skill: joe12801/token-config-checker (version 1.1.4)

--- name: token-config-checker description: 批量检测 token / auth JSON 配置文件有效性，并可对 access token 做在线轻量探测，自动输出脱敏报告。适用于排查 Codex/OpenAI/OpenAI 兼容客户端导出的登录配置、会话凭据文件、token 缓存文件。支持把配置分为 valid / no_quota / invalid 三类并分别保存。 Also validates token/auth JSON files such as Codex/OpenAI/OpenAI-compatible exported session configs, supports online probing, redacted reports, and saving valid / no_quota / invalid configs into separate directories. --- # token-config-checker [简体中文](#简体中文) | [English](#english) --- ## 简体中文 用于检测包含 `access_token` / `refresh_token` / `id_token` 的 JSON 配置文件是否还有效。 ### 提供内容 - `scripts/check_token_configs.py`：基础版，支持离线检测和可选在线探测 - `scripts/check_token_configs_plus.py`：增强版，支持脱敏输出、失败原因分类、三分类保存、写入报告文件 ### 快速用法 #### 检测单个文件 ```bash python3 scripts/check_token_configs.py /path/to/file.json ``` #### 批量检测目录 ```bash python3 scripts/check_token_configs.py /path/to/dir ``` #### 在线探测 access_token ```bash python3 scripts/check_token_configs.py /path/to/file.json --probe ``` #### 增强版：按 valid / no_quota / invalid 三分类保存 ```bash python3 scripts/check_token_configs_plus.py ./tokens \ --probe \ --probe-url https://api.openai.com/v1/models \ --save-valid-dir ./valid_configs \ --save-no-quota-dir ./no_quota_configs \ --save-invalid-dir ./invalid_configs \ --group-by-type \ --out report.txt ``` ### 输出重点 - `valid_offline`：离线结构和过期时间是否正常 - `online_valid`：在线探测是否通过 - `failure_class`：失败分类，例如 `token_expired` / `online_invalid_or_revoked` - `bucket`：最终分类（`valid` / `no_quota` / `invalid`） ### 注意事项 - 这类配置文件非常敏感，不要分享原始文件。 - 对 Codex 配置，在线结果通常比离线判断更重要。 - 默认探测地址使用 OpenAI 官方接口；如果你使用私有中转或自定义面板，请手动传入 `--probe-url`。 - 建议开启 `--out` 输出报告，便于复查。 --- ## English Use this skill to validate JSON config files containing `access_token` / `refresh_token` / `id_token`. ### Included scripts - `scripts/check_token_configs.py`: basic version with offline checks and optional online probing - `scripts/check_token_configs_plus.py`: enhanced version with redacted output, failure classification, three-bucket saving, and report generation ### Quick usage #### Check one file ```bash python3 scripts/check_token_configs.py /path/to/file.json ``` #### Batch scan a directory ```bash python3 scripts/check_token_configs.py /path/to/dir ``` #### Online probe access_token ```bash python3 scripts/check_token_configs.py /path/to/file.json --probe ``` #### Enhanced: save configs into valid / no_quota / invalid buckets ```bash python3 scripts/check_token_configs_plus.py ./tokens \ --probe \ --probe-url https://api.openai.com/v1/models \ --save-valid-dir ./valid_configs \ --save-no-quota-dir ./no_quota_configs \ --save-invalid-dir ./invalid_configs \ --group-by-type \ --out report.txt ``` ### Key outputs - `valid_offline`: whether the file looks structurally valid offline - `online_valid`: whether online probing succeeded - `failure_class`: failure reason classification - `bucket`: final bucket (`valid` / `no_quota` / `invalid`) ### Notes - These files are highly sensitive. Do not share raw configs. - For Codex-style configs, online probe results are usually more important than offline checks. - Default probe target uses the OpenAI official endpoint; if you use a private relay or custom panel, pass your own `--probe-url` explicitly. - Prefer `--out` to generate a reusable report.


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)