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Install
$ agentstack add skill-mahashwetha-job-search-email-system-claude-fit-check ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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Fit Check
Run a job fit analysis against the user's resume using fit_check.py.
Trigger
User says fit-check or pastes a job URL asking "is this a good fit" / "check fit".
Steps
- Extract the URL from the user's message.
- Optionally extract
--titleand--companyif the user mentioned them. - Run from the project root:
cd C:\Users\mahas\Learnings\claude-job-agent
python fit_check.py "" [--title "..."] [--company "..."]
- Show the output to the user.
- If the score is Weak or Moderate, offer a brief 1-line note on whether it's still worth applying (e.g. if it's a stretch role they want to aim for).
Notes
fit_scorer.pymust be in the same directory (it is).FIT_SCORE_ENABLED = Truemust be set inconfig.py(default is True).- WTTJ and BuiltIn URLs are supported. LinkedIn guest API is also supported.
- If description fetch fails, the score is title-only — the output will say so.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Mahashwetha
- Source: Mahashwetha/Job-search-email-system-claude
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.