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 searchgit 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/search)<a href="https://agentmods.dev/skills/mahashwetha/job-search-email-system-claude/search"><img src="https://agentmods.dev/badge/skills/mahashwetha/job-search-email-system-claude/search/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/search"><img src="https://agentmods.dev/badge/skills/mahashwetha/job-search-email-system-claude/search.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 | $0.00095 | $0.00727 |
| Opus 5 | $0.00048 | $0.00364 |
| Sonnet 5 | $0.00019 | $0.00145 |
| Haiku 4.5 | $0.00010 | $0.00073 |
Grade A, and why
search 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.
How it starts
The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Search Tracker
Look up a company or URL across both sheets of List.xlsx (Sheet1 = active applications, Rejected = rejected/closed applications).
What to do based on input
User gives a URL
- Open
List.xlsxwith openpyxl (use temp copy if PermissionError). - Search column C in both sheets for that URL (exact or substring match). Also handle cells with
=HYPERLINK(...)formula — extract the URL from inside the formula. - If found → show all matching rows (see Output Format below).
- If not found → use
requeststo fetch the page and extract the<title>tag. Parse the company name from the title (format is usually"Job Title - Company | Platform"). Then search column A in both sheets by that company name. - Report clearly: "Not in tracker" if nothing matches after both attempts.
User gives a company name only
- Open
List.xlsxwith openpyxl (use temp copy if PermissionError). - Search column A in both sheets — case-insensitive substring match.
- Show all matching rows across both sheets (see Output Format below).
- Report "Not in tracker" if nothing found.
Output Format
Group results by sheet, show row number, company, role, status (with emoji), URL, and any comments:
Found 3 match(es) for "Theodo":
[Sheet1]
Row 45 — Theodo | AI Engineer | ✅ Applied
URL: https://welcometothejungle.com/...
Row 67 — Theodo | Tech Lead | 🕐 In Progress
URL: https://...
[Rejected]
Row 12 — Theodo | Backend Engineer | ❌ Rejected
Note: French required
Status emoji mapping:
done/applied→ ✅ Appliedin progress/under review→ 🕐 In Progressrejected→ ❌ Rejectednot available/nothing to apply→ ⏸️ No Jobs Available- empty / other → ⬜ Not Contacted
Always show the Comments column (col F) if it has content — it often has useful notes like "Job posting CLOSED" or "French required".
Rules
- Always search BOTH sheets — Sheet1 and Rejected.
- Skip header row (row 1) when iterating.
- Company match is case-insensitive substring both ways:
query in companyORcompany in query. Skip empty cells — empty string always matches any substring check, so guard withif companyandif urlbefore comparing. - For URL search, also check if the URL is wrapped in a HYPERLINK formula.
- If the user gave a URL that's not in the tracker, always attempt to identify the company from the page before saying "not found".
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 · 58 lines · 95 tokens per session scan A 44758102efdc
search is a skill published in the GitHub repository Mahashwetha/Job-search-email-system-claude (9 stars, last pushed 12d ago), licensed MIT. It adds 95 tokens to every session and 727 once invoked, about $0.0005 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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