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 | $0.00775 |
| Opus 5.5 | $0.00041 | $0.00310 |
| Sonnet 5.5 | $0.00020 | $0.00155 |
| Haiku 4.5 | $0.00010 | $0.00077 |
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 7d 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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.
By default 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 (lock + backup first). It handles PermissionError automatically via a temp copy if the file is open in Excel.
Optional filters (combine freely, all must hold):
| Flag | Effect |
|---|---|
--dry-run |
List the rows that would change (and the company's other rows that the filters exclude). Changes nothing. |
--role "text" |
Only rows whose column B (role) contains the text, case-insensitive. |
--row N |
Only that exact row number. Repeatable (--row 42 --row 57). Column A must still match the company, otherwise nothing is changed. |
--exact |
Column A must equal the company name (case-insensitive) instead of containing it. Use for short names, e.g. "Alan" would otherwise also hit "Talan". |
When a company has several rows
If the company has more than one active application, or the name is short enough to match other companies, run with --dry-run first:
python .claude/skills/mark-rejected/scripts/mark_rejected.py "Alan" --exact --dry-run
Then mark only the rejected ones with --role (if the user named the role) or --row (pick the row numbers from the dry-run output):
python .claude/skills/mark-rejected/scripts/mark_rejected.py "Alan" --exact --role "backend"
python .claude/skills/mark-rejected/scripts/mark_rejected.py "Alan" --exact --row 42 --row 57
If it is unclear which of several roles was rejected, show the dry-run list to the user and ask.
Exit codes: 0 updated / dry-run listed, 4 no match (or a --row that doesn't belong to the company), 1 error (lock timeout, file open in Excel), 2 bad arguments.
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.
- 7d ago Changed · +28 lines 35be710955f6
- 1mo 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 (10 stars, last pushed today), licensed MIT. It adds 102 tokens to every session and 775 once invoked, about $0.0004 per session on Opus 5.5. 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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