Borrowing it
Nothing to install: this file belongs to galiprandi/job-seeker. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/galiprandi/job-seeker/main/.agents/skills/daily/SKILL.mdgit clone --depth 1 https://github.com/galiprandi/job-seekerWrote 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/galiprandi/job-seeker/daily)<a href="https://agentmods.dev/skills/galiprandi/job-seeker/daily"><img src="https://agentmods.dev/badge/skills/galiprandi/job-seeker/daily/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/galiprandi/job-seeker/daily"><img src="https://agentmods.dev/badge/skills/galiprandi/job-seeker/daily.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00030 | $0.01062 |
| Opus 5 | $0.00015 | $0.00531 |
| Sonnet 5 | $0.00006 | $0.00212 |
| Haiku 4.5 | $0.00003 | $0.00106 |
Grade A, and why
daily 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 today.
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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Daily
Trigger
Keyword: daily
The user says daily (or variants: "routine", "check and apply", "check everything") and the full routine is triggered.
Purpose
Compose the news and apply flows with decision logic to keep the job search active without manual intervention. Designed to run 1-2 times per day.
Pre-flight
- Verify active LinkedIn and Gmail sessions. If session closed → open browser with wrapper (see AGENTS.md "Browser session"):
node scripts/browser.js open <url> --headed(Gold Rule 5) → notify user → wait for confirmation - Browser: always use
node scripts/browser.jsfor open/close/goto. See AGENTS.md "Browser session" for details. Never callplaywright-cli opendirectly, never open Chrome directly - Load active preferences (see
memoryskill):node scripts/db.js "SELECT category, key, value, confidence, source FROM preferences WHERE user_id = <user_id> AND status = 'active' ORDER BY category, key" - Load strategy (see AGENTS.md "Strategy levels"):
Respect:node scripts/db.js "SELECT data->'strategy' AS strategy FROM users WHERE id = <user_id>"daily_frequency(on-demand / 1x/day / 2x/day),sources_active(which pillars to activate),apply_batch_sizeandtargets_batch_size(passed to sub-flows). Ifdailynot insources_active, warn the user
Flow
1. News (check updates)
Run the full news flow:
- Review Gmail inbox + Job Alerts folder + LinkedIn messages/notifications
- Classify by fit (Must/Strong/Nice)
- If there are messages that require a response:
- Prepare drafts (Gold Rule 6)
- Present executive summary by priority
- Wait for user validation
- Send
- If no relevant updates: continue to step 2
2. Cleanup inbox
- Archive processed job emails (old alerts, read newsletters)
- Mark obvious spam as spam
- Don't archive unanswered recruiter messages
3. Decide whether to apply
Query DB via db CLI:
node scripts/db.js "SELECT max(applied_at) AS last_application FROM applications WHERE user_id = <user_id>"
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.
- today Changed 93361a6ace68
- 11d ago First seen · 92 lines · 30 tokens per session scan A 6cb187955b1e
daily is a skill published in the GitHub repository galiprandi/job-seeker (26 stars, last pushed today), licensed MIT. It adds 30 tokens to every session and 1,062 once invoked, about $0.0002 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 2026-08-30.
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