Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add commands/warpirate/linkedin-maxxing/repurpose-contentgit clone --depth 1 https://github.com/warpirate/linkedin-maxxingWrote 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/warpirate/linkedin-maxxing/repurpose-content)<a href="https://agentmods.dev/commands/warpirate/linkedin-maxxing/repurpose-content"><img src="https://agentmods.dev/badge/commands/warpirate/linkedin-maxxing/repurpose-content.svg" alt="Measured on agentmods" 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 | $0.00018 | $0.00055 |
| Opus 5 | $0.00009 | $0.00028 |
| Sonnet 5 | $0.00004 | $0.00011 |
| Haiku 4.5 | $0.00002 | $0.00006 |
Grade A, and why
repurpose-content 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 3d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 3d ago First seen · 6 lines · 18 tokens per session scan A e9b53aa7b902
repurpose-content is a command published in the GitHub repository warpirate/linkedin-maxxing (4 stars, last pushed 2mo ago), with no licence file. It adds 18 tokens to every session and 55 once invoked, about $0.0001 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.
Other commands, from other repositories
clear-check
Score a file or pasted text against CLEAR-100 on four axes (Plain, Human, Structured, Dense) and list every finding with the fix. Read-only, changes nothing.
clear-init
Install CLEAR-100 into the current repo or agent. Writes the rule block into AGENTS.md, CLAUDE.md, Cursor rules, or a Vale config, and adds a CI gate. Idempotent.
clear-rewrite
Rewrite text to pass CLEAR-100. Plain words, human voice, real structure, no filler. Runs the checker in a loop until the score clears the gate, then shows the before and after.
clear-explain
Explain one CLEAR-100 rule: what it catches, why it exists, the fix, and a before-and-after. Use when a finding looks wrong or a rule needs a defense.
story-long-scan
长篇网文扫榜。分析起点、番茄、晋江等平台排行数据，提炼市场趋势。.
story-short-scan
短篇网文扫榜。分析知乎盐言、番茄短篇等平台热门数据。.