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Tamar Resume Tailor

作者 Evgeny Shneyderman · GitHub ↗ · v1.4.1 · MIT-0
cross-platform ✓ 安全检测通过
177
总下载
1
收藏
0
当前安装
6
版本数
在 OpenClaw 中安装
/install tamar-resume-tailor
功能描述
Tailor resumes for specific job applications using the Tamar AI API
安全使用建议
This skill appears coherent, but review these practical points before enabling: (1) You must install the tamar CLI (npm tamar-cli) and provide a Tamar API key — the CLI will store the key in ~/.tamarrc; the skill intentionally avoids reading that file directly. (2) Verify the tamar-cli package and ask-tamar.com are trustworthy (check the npm package page and service docs) before installing. (3) The skill will run local CLI commands and read resume or job-description files you supply — avoid giving file paths that expose unrelated sensitive data. (4) Note the minor metadata mismatch: docs say the skill won’t auto-install the CLI, but an install spec exists in the manifest; confirm whether your platform will auto-install or if you should install manually. If you have concerns about the third-party CLI, consider creating a dedicated API key that you can revoke or rotate.
功能分析
Type: OpenClaw Skill Name: tamar-resume-tailor Version: 1.4.1 The skill is a legitimate integration for the Tamar AI resume tailoring service. It provides clear instructions for the AI agent to use the 'tamar' CLI, including explicit security best practices to prevent shell injection by using temporary files for user-provided text (seen in SKILL.md and instructions.md). It correctly handles API authentication via standard CLI commands and explicitly instructs the agent not to directly access sensitive configuration files like ~/.tamarrc.
能力评估
Purpose & Capability
Name/description (resume tailoring via Tamar API) match the declared requirements: a tamar CLI binary and TAMAR_API_KEY. The npm package install (tamar-cli → tamar) is appropriate for the stated purpose.
Instruction Scope
SKILL.md contains step-by-step CLI instructions (profile check, upload, tailor, feedback, download). It avoids reading config files directly and warns about shell injection, instructing safe use of temp files and quoting. The agent is only asked to read files/paths provided by the user (resumes or pasted JDs), which is appropriate for this skill.
Install Mechanism
Install uses a public npm package (tamar-cli), which is a typical and expected method. Minor inconsistency: README and SKILL.md state the user should install the CLI manually and that the skill "will not attempt to install packages on your behalf," yet the metadata includes an install spec. This is likely benign but worth noting so users understand whether the platform may auto-install.
Credentials
Only TAMAR_API_KEY is required and declared as the primary credential. The skill relies on the tamar CLI, which stores the key in ~/.tamarrc — the SKILL.md explicitly instructs not to read that file directly and to use tamar status instead. No unrelated credentials are requested.
Persistence & Privilege
always:false (default). The skill does not request permanent/system-wide privileges or access to other skills' configurations. Autonomous invocation (model invocation enabled) is the platform default and not a separate concern here.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install tamar-resume-tailor
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /tamar-resume-tailor 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.4.1
Fix display name
v1.4.0
Security: declare API key credential in metadata (secret: true), add SKILL.md frontmatter with requires.bins and requires.env, add install spec, remove direct ~/.tamarrc access — agent uses tamar status instead
v1.3.0
Security: fix shell injection risk — add input sanitization guidance, single-quote all arguments in examples
v1.2.0
Add GET /profiles and GET /account endpoints, fix tamar profile command, add tamar status command, enrichment Q&A pipeline step
v1.1.0
Add enrichment Q&A step (POST /profiles/questions), improved job URL error handling, timeout guidance
v1.0.0
Initial release — upload, tailor, feedback, and download PDF resumes via the Tamar AI API
元数据
Slug tamar-resume-tailor
版本 1.4.1
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 6
常见问题

Tamar Resume Tailor 是什么?

Tailor resumes for specific job applications using the Tamar AI API. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 177 次。

如何安装 Tamar Resume Tailor?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install tamar-resume-tailor」即可一键安装,无需额外配置。

Tamar Resume Tailor 是免费的吗?

是的,Tamar Resume Tailor 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Tamar Resume Tailor 支持哪些平台?

Tamar Resume Tailor 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Tamar Resume Tailor?

由 Evgeny Shneyderman(@evgenyshneyderman)开发并维护,当前版本 v1.4.1。

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