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/_shared.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/_shared)<a href="https://agentmods.dev/commands/farzamhejazik/claude-linkedin-assistant/_shared"><img src="https://agentmods.dev/badge/commands/farzamhejazik/claude-linkedin-assistant/_shared/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/_shared"><img src="https://agentmods.dev/badge/commands/farzamhejazik/claude-linkedin-assistant/_shared.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 | $0.01743 |
| Opus 5 | $0.00000 | $0.00872 |
| Sonnet 5 | $0.00000 | $0.00349 |
| Haiku 4.5 | $0.00000 | $0.00174 |
Grade A, and why
_shared 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 9d 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Shared context — loaded by all /jobs sub-flows
Working directory: the cloned repo root (where job_tracker.csv lives).
Today's date: read from system (YYYY-MM-DD).
User resume — the source of truth about WHO they are
Read whatever resume(s) the user has dropped into resumes/. Supported formats: .pdf, .tex, .md, .docx. Extract on demand:
- Name (top of resume) — used by Step 0 LinkedIn verification.
- Current title + employer + years experience + 2-3 specializations — used by
/jobs outreachto build a third-person pitch sentence for the DM template. - Target job titles (resume headline + most recent role titles + role-aligned alternatives) — used by
/jobs findsearches. - Top skills / keywords (skills section + repeated terms across bullets) — used by
/jobs findscoring.
If multiple resumes are present, read all of them and use the union. Never invent details that aren't on the resume.
If resumes/ is empty (only the README), stop the flow and tell the user to drop their resume in.
Search profile (optional) — the source of truth about WHAT they want
Look for resumes/search_profile.md. This is an OPTIONAL free-form file where the user writes their specific job-search preferences: must-haves, deal-breakers, interest areas, salary floors, location constraints, company-size preferences, anything that's not on the resume.
If it exists:
- Read it as plain prose. No structured schema is enforced — it can be bullets, paragraphs, mixed.
- Treat it as higher-priority signal than the resume when there's a conflict. The resume says what the user can do; the search profile says what they want to do.
- Examples of how it shapes flows:
- "Remote only" → drop on-site results from
/jobs find, even if the resume has a city in the contact line. - "$200K minimum" → boost or filter on salary in the score.
- "Climate tech" → add to the keyword pool for searches and scoring.
- "No crypto" → exclude matching jobs entirely.
- "Senior IC, no people management" → drop manager-track titles.
- "Remote only" → drop on-site results from
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.
- 9d ago First seen · 134 lines · 0 tokens per session scan A 8fb63f6a561c
_shared is a command published in the GitHub repository FarzamHejaziK/claude-linkedin-assistant (213 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,743 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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