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 mark-rejectedgit 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/mark-rejected)<a href="https://agentmods.dev/skills/mahashwetha/job-search-email-system-claude/mark-rejected"><img src="https://agentmods.dev/badge/skills/mahashwetha/job-search-email-system-claude/mark-rejected/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/mark-rejected"><img src="https://agentmods.dev/badge/skills/mahashwetha/job-search-email-system-claude/mark-rejected.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 | $0.00102 | $0.00376 |
| Opus 5 | $0.00051 | $0.00188 |
| Sonnet 5 | $0.00020 | $0.00075 |
| Haiku 4.5 | $0.00010 | $0.00038 |
Grade A, and why
mark-rejected 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
Mark Company as Rejected
Update List.xlsx for a company that rejected you: set column D to Rejected and apply strikethrough formatting across columns A–F.
Steps
Run the bundled script at .claude/skills/mark-rejected/scripts/mark_rejected.py with the company name as the argument, from the project root.
The script finds all rows where column A contains the company name (case-insensitive substring match), sets column D to Rejected, applies strikethrough to columns A–F while preserving existing font properties, and saves the file. It handles PermissionError automatically via a temp copy if the file is open in Excel.
After running
Check the output — it reports the row number and company name for each row updated. If multiple unexpected rows matched, the company name was too broad. Revert any wrong rows manually in Excel (remove strikethrough, restore the original status).
The daily email will automatically show ❌ Rejected for that company on the next run.
If the script fails
Open List.xlsx manually, find the company row, type Rejected in column D, select cells A–F, open Format Cells (Ctrl+1), go to the Font tab, and check Strikethrough.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 25 lines · 102 tokens per session scan A f67824a0516a
mark-rejected is a skill published in the GitHub repository Mahashwetha/Job-search-email-system-claude (9 stars, last pushed 11d ago), licensed MIT. It adds 102 tokens to every session and 376 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.
Other skills, from other repositories
dgn-to-excel
Convert DGN files (v7-v8) to Excel databases. Extract elements, levels, and properties from infrastructure CAD files.
dwg-to-excel
Convert AutoCAD DWG files (1983-2026) to Excel databases using DwgExporter CLI. Extract layers, blocks, attributes, and geometry data without Autodesk licenses.
ifc-to-excel
Convert IFC files (2x3, 4x1, 4x3) to Excel databases using IfcExporter CLI. Extract BIM data, properties, and geometry without proprietary software.
historical-data-manager
Extract, clean, and organize legacy construction data from archives. Migrate historical project data, cost records, and schedules into modern formats.
pdf-report-generator
Automatically generate PDF reports from construction data. Create formatted project reports with charts and tables.
excel-to-bim
Push Excel data back to BIM models. Update parameters, properties, and attributes from structured spreadsheets.