Borrowing it
Nothing to install: this file belongs to tarunkorat/claude-linkedin-post-creator. 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/tarunkorat/claude-linkedin-post-creator/main/.claude/commands/post/_shared.mdgit clone --depth 1 https://github.com/tarunkorat/claude-linkedin-post-creatorWrote 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/tarunkorat/claude-linkedin-post-creator/_shared)<a href="https://agentmods.dev/commands/tarunkorat/claude-linkedin-post-creator/_shared"><img src="https://agentmods.dev/badge/commands/tarunkorat/claude-linkedin-post-creator/_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/tarunkorat/claude-linkedin-post-creator/_shared"><img src="https://agentmods.dev/badge/commands/tarunkorat/claude-linkedin-post-creator/_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 | $0.00520 |
| Opus 5.5 | $0.00000 | $0.00208 |
| Sonnet 5.5 | $0.00000 | $0.00104 |
| Haiku 4.5 | $0.00000 | $0.00052 |
Grade A, and why
_shared scanned grade A with 1 finding 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 2mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -o /dev/null -w "%{http_code}" -X POST "WEBHOOK_URL" \ What it actually says
Shared — loaded by all /post flows
Today's date: read from system (YYYY-MM-DD).
Step 0 — Startup checks
0A. Read config/profile.md
Extract: NAME, ROLE, INDUSTRY, NICHE_TOPICS, AUDIENCE, TONE, FORMAT, VOICE, POST_LENGTH, EMOJI_USAGE, HASHTAG_COUNT, AVOID, GOALS, SAMPLE_1/2/3.
If NAME is empty → stop: "Run /post sync first to fill in config/profile.md, or edit it manually."
0B. Read config/slack.md
If WEBHOOK_URL is not "YOUR_WEBHOOK_URL" → slack_enabled=true. Else slack_enabled=false.
0C. Chrome check
Call mcp__Claude_in_Chrome__tabs_context_mcp (createIfEmpty:true). Fail → stop: "Chrome not connected."
Create a new tab. Navigate to https://www.linkedin.com/in/me/. Read page.
Redirected to login → stop: "Log in to LinkedIn in Chrome first."
Success → print: ✓ Chrome · LinkedIn: <name>
Output
Save draft to: posts/draft_YYYY-MM-DD_<2-3-word-slug>.md
File format:
# <Topic>
Date: YYYY-MM-DD | Topic: <topic> | Why: <one sentence>
---
<post text>
---
Slack (if slack_enabled=true):
curl -s -o /dev/null -w "%{http_code}" -X POST "WEBHOOK_URL" \
-H "Content-Type: application/json" \
-d "{\"text\": \"*LinkedIn Draft*\n\n<escaped post text>\n\n_File: posts/draft_<slug>.md_\"}"
Non-200 → warn user, draft already saved locally.
Post writing rules
- No em-dashes (—). Scan before output.
- Mirror TONE, FORMAT, VOICE, POST_LENGTH, EMOJI_USAGE, HASHTAG_COUNT from profile.
- First line = scroll-stopping hook. Specific, direct, or surprising.
- No filler openers: "In today's world", "As a software engineer", "Hot take:", "I've been thinking about".
- No AI phrases: "delve", "it's worth noting", "the importance of".
- End with a genuine question or CTA.
- Hashtags on their own line at the end.
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.
- 2mo ago First seen · 50 lines · 0 tokens per session scan A 2b1d8076d1eb
_shared is a command published in the GitHub repository tarunkorat/claude-linkedin-post-creator (6 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 520 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
content-pipeline
Run the full multi-agent content production pipeline.
pull-repos
Pull all repos (parent + marketplace clones + configured project repos).
security-scan
Run security audit on codebase.
test-suite
Run comprehensive test suite with coverage analysis.
assemble-team
Assemble a pre-built agent team for parallel work - review, feature, debug, cross-platform, full-stack, or research.
standardize-claude-md
Add missing toolkit sections (Related Global Rules, Quick Start) to existing CLAUDE.md.