ClawHub

Resume Ats

v0.1.1

CLI tool for analyzing, optimizing, and formatting resumes to improve ATS scoring via keyword matching and structured templates.

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by@hirofumiko
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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✓
Purpose & Capability
The name/description (resume/ATS optimization) aligns with the provided CLI, config, and local SQLite storage code. The project scaffolding, CLI commands, and pyproject all match the stated purpose. Several core features (PDF parsing, scoring, generation, keyword extraction) are marked TODO and are not implemented — this is coherent with an early-development tool but means the skill is not yet functional.
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Instruction Scope
SKILL.md instructs normal CLI usage (init, analyze, score, generate) and to edit a .env. The runtime instructions (cli.py) only read local files and configuration and do not call remote endpoints. The code will read an optional OPENAI_API_KEY if present in .env, which is consistent with the documentation. No instructions ask the agent to read unrelated system files or transmit data externally.
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Install Mechanism
There is no platform install spec in the registry (instruction-only), but the repository includes a pyproject and a console script entrypoint and SKILL.md suggests pipx or pip install -e . — that is expected for a Python CLI. No external downloads or unusual install hosts are used. Because the registry lacks an automated install spec, installing would rely on executing pip locally from these sources.
✓
Credentials
No required environment variables are declared by the registry. The code supports an optional OPENAI_API_KEY and local DB path (DB_PATH) via .env; these are reasonable for optional AI features and local persistence. There are no unrelated credentials requested. Be aware that if you provide OPENAI_API_KEY it could be used by future implemented features.
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Persistence & Privilege
The skill is not always: true and does not request system-wide changes. It creates a local SQLite DB (default ./data/resume_ats.db) and a .env-based configuration in the working directory — this local persistence is consistent with the stated purpose.
Assessment
This package appears to be scaffolding for a local CLI resume/ATS tool rather than a finished product. Before installing: (1) inspect the code yourself or in an isolated environment; the project will create a local SQLite DB and may save resume contents there (DB_PATH defaults to ./data/resume_ats.db). (2) .env.example referenced by init is missing, so init may fail; expect some commands to print 'not yet implemented'. (3) there is a small bug in storage/database.py (uses json without importing it) which will cause runtime errors until fixed. (4) Only provide an OPENAI_API_KEY if you trust running optional AI features; the key would be read from .env and could be used by future implementations. If you want to try it, run inside a fresh virtualenv or container, avoid putting sensitive production keys in .env, and review/patch the minor issues (import json, add .env.example) before relying on it.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.
Termshttps://spdx.org/licenses/MIT-0.html

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