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Tamar Resume Tailor
by
Evgeny Shneyderman
· GitHub ↗
· v1.4.1
· MIT-0
177
Downloads
1
Stars
0
Active Installs
6
Versions
Install in OpenClaw
/install tamar-resume-tailor
Description
Tailor resumes for specific job applications using the Tamar AI API
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install tamar-resume-tailor - After installation, invoke the skill by name or use
/tamar-resume-tailor - Provide required inputs per the skill's parameter spec and get structured output
Version History
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
Metadata
Frequently Asked Questions
What is Tamar Resume Tailor?
Tailor resumes for specific job applications using the Tamar AI API. It is an AI Agent Skill for Claude Code / OpenClaw, with 177 downloads so far.
How do I install Tamar Resume Tailor?
Run "/install tamar-resume-tailor" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Tamar Resume Tailor free?
Yes, Tamar Resume Tailor is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Tamar Resume Tailor support?
Tamar Resume Tailor is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Tamar Resume Tailor?
It is built and maintained by Evgeny Shneyderman (@evgenyshneyderman); the current version is v1.4.1.
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