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 resume-tailorgit 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/resume-tailor)<a href="https://agentmods.dev/skills/mahashwetha/job-search-email-system-claude/resume-tailor"><img src="https://agentmods.dev/badge/skills/mahashwetha/job-search-email-system-claude/resume-tailor/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/resume-tailor"><img src="https://agentmods.dev/badge/skills/mahashwetha/job-search-email-system-claude/resume-tailor.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 | $0.00071 | $0.00488 |
| Opus 5 | $0.00036 | $0.00244 |
| Sonnet 5 | $0.00014 | $0.00098 |
| Haiku 4.5 | $0.00007 | $0.00049 |
Grade A, and why
resume-tailor 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
Resume Tailor
Generate a per-company tailored resume using Gemini 2.5 Flash via resume_tailor.py.
How to run
For a single job, run resume_tailor.py with the job posting URL and company name as arguments.
For batch mode (all companies with status done and non-LinkedIn links in the tracker), run it with no arguments.
Output
Saved to the resume_adjusted/ folder configured in config.py, named resume_{CompanyName}.docx. The script skips a company if the file already exists — delete the file to regenerate it.
What it does
Fetches the job description from the URL, reads the base resume, and asks Gemini to suggest minimal tweaks — reordering skills, surfacing existing keywords. It never fabricates experience. Gemini's markdown formatting (**bold**) is stripped automatically before writing to the DOCX.
Site compatibility
Most standard job pages work. Workday works via JSON-LD extraction. Ashby and internal portals (like BPCE) may fail — in that case, skip the URL and tailor manually, or paste the job description text into a temp file and adjust the call.
LinkedIn URLs are skipped automatically in batch mode.
If you hit rate limits
The free Gemini tier occasionally returns 429 errors — the script retries automatically. If it keeps failing, wait a minute and re-run. Use gemini-2.5-flash, not gemini-2.0-flash (that quota runs out faster).
Note: on-demand only
Resume tailor is NOT part of the daily job search run — controlled by RESUME_TAILOR_ENABLED in config.py (default: False).
When the user asks to tailor a resume:
- Set
RESUME_TAILOR_ENABLED = Trueinconfig.py - Run the tailor
- Set
RESUME_TAILOR_ENABLED = Falseinconfig.pyagain
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 · 42 lines · 71 tokens per session scan A 58140dff4fa9
resume-tailor is a skill published in the GitHub repository Mahashwetha/Job-search-email-system-claude (9 stars, last pushed 12d ago), licensed MIT. It adds 71 tokens to every session and 488 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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