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 update-hrgit 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/update-hr)<a href="https://agentmods.dev/skills/mahashwetha/job-search-email-system-claude/update-hr"><img src="https://agentmods.dev/badge/skills/mahashwetha/job-search-email-system-claude/update-hr/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/update-hr"><img src="https://agentmods.dev/badge/skills/mahashwetha/job-search-email-system-claude/update-hr.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 | $0.00089 | $0.00454 |
| Opus 5 | $0.00044 | $0.00227 |
| Sonnet 5 | $0.00018 | $0.00091 |
| Haiku 4.5 | $0.00009 | $0.00045 |
Grade A, and why
update-hr 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
Update HR Contacts
Find LinkedIn recruiter profiles for a company and add them to column E of List.xlsx.
Step 1 — Search LinkedIn
Use WebSearch with this query:
"{company}" recruiter OR "talent acquisition" OR "hiring manager" OR "HR manager" OR "people partner" Paris OR France OR EMEA site:linkedin.com/in
Location priority: Paris first, then France, then EMEA as a fallback. Only use EMEA-level contacts when no Paris or France-specific person is found. Ignore contacts based in India, US, or APAC unless the company has no EU presence at all.
Step 2 — Add to the HR_CONTACTS dict
Open update_hr_contacts.py and add or extend the company entry in the HR_CONTACTS dictionary. Use the company name exactly as it appears in column A of List.xlsx. If the company is already in the dict, append the new contacts to its list — don't replace existing ones.
Step 3 — Run the script
Run update_hr_contacts.py from the project root. The script reads existing cell content first and only appends contacts whose names aren't already there. Running it twice produces zero changes the second time.
Step 4 — Verify
The script reports how many rows were updated. Check that the count matches expectations.
Rules
- Never overwrite manually entered contacts — the script is append-only.
- Write names directly, no [UNVERIFIED] prefix.
- To remove a contact: delete it from Excel AND remove it from the
HR_CONTACTSdict. That's the only case requiring both steps. - Don't drag the fill handle in Excel after running — it creates ghost rows with duplicated formulas.
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 · 36 lines · 89 tokens per session scan A ad13f98da33c
update-hr is a skill published in the GitHub repository Mahashwetha/Job-search-email-system-claude (9 stars, last pushed 11d ago), licensed MIT. It adds 89 tokens to every session and 454 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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