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 new-jobgit 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/new-job)<a href="https://agentmods.dev/skills/mahashwetha/job-search-email-system-claude/new-job"><img src="https://agentmods.dev/badge/skills/mahashwetha/job-search-email-system-claude/new-job/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/new-job"><img src="https://agentmods.dev/badge/skills/mahashwetha/job-search-email-system-claude/new-job.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 | $0.00076 | $0.00389 |
| Opus 5 | $0.00038 | $0.00195 |
| Sonnet 5 | $0.00015 | $0.00078 |
| Haiku 4.5 | $0.00008 | $0.00039 |
Grade A, and why
new-job 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
Add New Job to Tracker
Add a new row to List.xlsx (the job application tracker at the path in config.py → TRACKER_FILE).
Column layout
- A: Company name
- B: Role title
- C: Role link (job posting URL)
- D: Status
- E: HR contact (leave empty)
- F: Comments (leave empty)
Status values
- Default (applied):
done - Save for later / not yet applied:
In progress
If the user doesn't specify, use done.
Steps
- Ask the user for any missing info: company name (required), role title, job URL. If they provided it already, skip asking.
- Open
List.xlsxusing openpyxl. HandlePermissionErrorby working from a temp copy. - Use the first sheet (
wb.activeat load time — read it before any writes to avoid sheet-shift bugs). - Append the new row at the bottom: Company, Role, URL, Status, empty, empty.
- Save the file.
- Confirm to the user: company name, role, status, and which row it was added to.
Things to check
- If the company already exists in the tracker, mention it and ask if they still want to add a new row (they may have a different role).
- Leave columns E and F empty — HR contacts are managed separately via the update-hr workflow.
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 · 35 lines · 76 tokens per session scan A b775336e1648
new-job is a skill published in the GitHub repository Mahashwetha/Job-search-email-system-claude (9 stars, last pushed 12d ago), licensed MIT. It adds 76 tokens to every session and 389 once invoked, about $0.0004 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.
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