Borrowing it
Nothing to install: this file belongs to FarzamHejaziK/claude-linkedin-assistant. 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/FarzamHejaziK/claude-linkedin-assistant/main/.claude/commands/jobs/daily.mdgit clone --depth 1 https://github.com/FarzamHejaziK/claude-linkedin-assistantWrote 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/commands/farzamhejazik/claude-linkedin-assistant/daily)<a href="https://agentmods.dev/commands/farzamhejazik/claude-linkedin-assistant/daily"><img src="https://agentmods.dev/badge/commands/farzamhejazik/claude-linkedin-assistant/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/commands/farzamhejazik/claude-linkedin-assistant/daily"><img src="https://agentmods.dev/badge/commands/farzamhejazik/claude-linkedin-assistant/daily.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 | $0.00000 | $0.01050 |
| Opus 5 | $0.00000 | $0.00525 |
| Sonnet 5 | $0.00000 | $0.00210 |
| Haiku 4.5 | $0.00000 | $0.00105 |
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 11d 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DAILY (orchestrator)
/jobs daily is the main orchestrator. It runs the daily sequence end to end with no between-step prompts. Empty steps are auto-skipped.
For ad-hoc work, run individual /jobs <sub-command> directly. For normal use after /jobs setup, prefer /jobs daily.
How this command behaves
- Platform config check: read
resumes/search_profile.md. If it has no## Platformssection, run/jobs setupfirst (read and execute.claude/commands/jobs/setup.md). This only happens once — after setup writes the Platforms section, future daily runs skip this check. - Run STEP 0 (Chrome + LinkedIn check from
jobs.md) once at the start. - Pre-flight: read
job_tracker.csv. If it has 0 data rows (just the header), this is a first-run / empty-tracker state. Skip Step 1 (check) entirely — there's nothing to dashboard. Jump straight to Step 2 (find). Tell the user: "Tracker is empty, starting with discovery." - Otherwise, walk through the steps below in order, end to end with no between-step prompts. Each step runs to completion, then the next one starts automatically. The user is not asked to continue between steps.
- Before each step, print a one-line preview of what's queued. If the queue is empty, auto-skip and announce.
- At the end, run the commit step automatically and print the daily summary.
If the user invokes a single sub-command from inside the daily flow (e.g. types /jobs outreach Walmart), exit the daily orchestrator and let that sub-command run standalone.
Step 1 — /jobs check (dashboard)
Skip if the tracker is empty (per the pre-flight check above — go straight to Step 2).
Otherwise: read check.md, execute. Show all sections. Continue to Step 2 automatically.
Step 2 — /jobs find (discover new jobs)
Read find.md. Surface candidate jobs based on the user's profile. Continue to Step 3 automatically.
Step 3 — /jobs add (capture finds)
For each job surfaced in Step 2, read add.md and add to the tracker. The find flow already auto-adds in batch — this step exists to handle anything the user wants to add manually that wasn't surfaced (e.g. a link they saw elsewhere).
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.
- 11d ago First seen · 104 lines · 0 tokens per session scan A bccd1e197167
daily is a command published in the GitHub repository FarzamHejaziK/claude-linkedin-assistant (214 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,050 tokens. 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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