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.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/instructions/tarunkorat/claude-linkedin-post-creator/claude-md)<a href="https://agentmods.dev/instructions/tarunkorat/claude-linkedin-post-creator/claude-md"><img src="https://agentmods.dev/badge/instructions/tarunkorat/claude-linkedin-post-creator/claude-md/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/instructions/tarunkorat/claude-linkedin-post-creator/claude-md"><img src="https://agentmods.dev/badge/instructions/tarunkorat/claude-linkedin-post-creator/claude-md.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 | $0.00690 | $0.00690 |
| Opus 5 | $0.00345 | $0.00345 |
| Sonnet 5 | $0.00138 | $0.00138 |
| Haiku 4.5 | $0.00069 | $0.00069 |
Grade A, and why
claude-linkedin-post-creator CLAUDE.md 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 — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — LinkedIn Post Creator
Project rules loaded automatically when Claude works in this folder.
What this is
A Claude Code assistant for creating high-quality LinkedIn posts. It reads your LinkedIn profile live via Chrome, researches top-performing posts in your industry, and generates posts that match your personal writing style.
Where the docs live
| File | Purpose |
|---|---|
CLAUDE.md (this file) |
Project-wide hard rules |
README.md |
Setup guide and command reference |
config/profile.md |
Source of truth: your industry, audience, tone, style, sample posts |
config/slack.md |
Optional Slack webhook for sending drafts |
posts/ |
All saved draft files land here |
.claude/commands/post.md |
Top-level /post dispatcher |
.claude/commands/post/_shared.md |
Shared rules for all sub-flows |
.claude/commands/post/sync.md |
/post sync — refresh profile from live LinkedIn |
.claude/commands/post/generate.md |
/post core flow — research, suggest, generate |
.claude/commands/post/history.md |
/post history — list past drafts |
Config files — source of truth
config/profile.mdis the source of truth about the USER — their identity, audience, niche, writing style, sample posts, and goals. Read it at the start of every flow.config/slack.mdis the source of truth about Slack output. If the Webhook URL is not set (empty or "YOUR_WEBHOOK_URL"), skip Slack and save to local file only.
Hard rules
- Never post to LinkedIn automatically. Claude generates drafts only. The user always posts manually.
- Never invent style details. Writing style must come from
config/profile.mdand/or the user's actual LinkedIn posts read via Chrome. Do not fabricate a tone or voice. - No em-dashes (—) in any generated post content. Em-dashes are a tell of AI-written text. Use commas, periods, or split sentences instead. Scan every draft before showing it.
- Match the user's post length preference from
config/profile.md. Never exceed it. - Hashtags: use the count and style specified in
config/profile.md. If not specified, default to 3-5 relevant hashtags at the end. - Draft filenames: always
posts/draft_YYYY-MM-DD_<slug>.mdwhere slug is 2-3 words from the topic (lowercase, hyphens). Example:posts/draft_2026-05-13_react-server-components.md - If
config/profile.mdis not filled in (still has placeholder text like "(your full name)"), stop and tell the user to fill it in OR offer to run/post syncto auto-populate it from LinkedIn. - Slack fallback: if Slack is configured but the webhook call fails, save to local file and warn the user. Never silently drop the draft.
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 · 43 lines · 690 tokens per session scan A e60a71d31705
claude-linkedin-post-creator CLAUDE.md is an instructions file published in the GitHub repository tarunkorat/claude-linkedin-post-creator (6 stars, last pushed 3mo ago), licensed MIT. It adds 690 tokens to every session, about $0.0034 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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