Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Mahashwetha/Job-search-email-system-claude --skill fit-checkgit clone --depth 1 https://github.com/Mahashwetha/Job-search-email-system-claudeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/mahashwetha/job-search-email-system-claude/fit-check)<a href="https://agentmods.dev/skills/mahashwetha/job-search-email-system-claude/fit-check"><img src="https://agentmods.dev/badge/skills/mahashwetha/job-search-email-system-claude/fit-check/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/mahashwetha/job-search-email-system-claude/fit-check"><img src="https://agentmods.dev/badge/skills/mahashwetha/job-search-email-system-claude/fit-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00067 | $0.00328 |
| Opus 5 | $0.00034 | $0.00164 |
| Sonnet 5 | $0.00013 | $0.00066 |
| Haiku 4.5 | $0.00007 | $0.00033 |
Grade A, and why
fit-check scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Fit Check
Run a job fit analysis against the user's resume using fit_check.py.
Trigger
User says fit-check <url> 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 "<url>" [--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.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 34 lines · 67 tokens per session scan A f46c0ba4a6b0
fit-check is a skill published in the GitHub repository Mahashwetha/Job-search-email-system-claude (9 stars, last pushed 12d ago), licensed MIT. It adds 67 tokens to every session and 328 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
mix-compression
Reduce mix output noise (5-15% token savings) by installing rtk filters that compress mix test/credo/dialyzer/compile output before it reaches Claude. Use when long mix output floods context.
phx-mix-compression
Reduce mix output noise (5-15% token savings) by installing rtk filters that compress mix test/credo/dialyzer/compile output before it reaches Claude. Use when long mix output floods context.
quick
Implement small Phoenix changes without planning — add validations, update routes, fix components, create migrations. Use for single-file edits under 50 lines.
phx-freeze
Apply an advisory edit scope in this session. Use for read-only or directory-scoped work; no enforcement hook is installed.
job-application-agent
Finds, evaluates, fills, submits, and tracks a candidate's own job applications using a verified resume, evidence-based targeting, secure local profile storage, and browser automation. Use for onboarding or migrating a job-search profile, searching active roles, assessing a posting, applying to an authorized URL or…
workflow-automation
Automate construction data workflows. Build ETL pipelines and DAG workflows for recurring tasks.