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/history.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/history)<a href="https://agentmods.dev/commands/tarunkorat/claude-linkedin-post-creator/history"><img src="https://agentmods.dev/badge/commands/tarunkorat/claude-linkedin-post-creator/history/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/history"><img src="https://agentmods.dev/badge/commands/tarunkorat/claude-linkedin-post-creator/history.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 | $0.00198 |
| Opus 5 | $0.00000 | $0.00099 |
| Sonnet 5 | $0.00000 | $0.00040 |
| Haiku 4.5 | $0.00000 | $0.00020 |
Grade A, and why
history 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 10d 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.
What it actually says
HISTORY — List past drafts
No Chrome needed.
Step 1
List all files in posts/ matching draft_*.md, sorted newest first.
For each: read file, extract Date, Topic, first post line (hook), word count.
Show as table:
| # | Date | Topic | Hook | Words |
|---|------|-------|------|-------|
If posts/ is empty: "No drafts yet. Run /post to create one."
Step 2 — Actions
After table, print: "Say a number to read it, "rewrite N" to regenerate, or "delete N" to remove."
Wait for response:
- Number → read and display that draft in full.
- "rewrite N" → read that file, jump to generate.md Step 5 with same topic, fresh write.
- "delete N" → confirm "Delete ? (yes/no)" → delete on yes.
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.
- 10d ago First seen · 24 lines · 0 tokens per session scan A 8928bdf93468
history is a command published in the GitHub repository tarunkorat/claude-linkedin-post-creator (6 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 198 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 2026-08-31.
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.