Borrowing it
Nothing to install: this file belongs to panguard-ai/panguard-ai. 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/panguard-ai/panguard-ai/main/.claude/commands/content-calendar.mdgit clone --depth 1 https://github.com/panguard-ai/panguard-aiWrote 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/panguard-ai/panguard-ai/content-calendar)<a href="https://agentmods.dev/commands/panguard-ai/panguard-ai/content-calendar"><img src="https://agentmods.dev/badge/commands/panguard-ai/panguard-ai/content-calendar/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/panguard-ai/panguard-ai/content-calendar"><img src="https://agentmods.dev/badge/commands/panguard-ai/panguard-ai/content-calendar.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 | $0.00488 |
| Opus 5.5 | $0.00000 | $0.00195 |
| Sonnet 5.5 | $0.00000 | $0.00098 |
| Haiku 4.5 | $0.00000 | $0.00049 |
Grade A, and why
content-calendar 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 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.
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 — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/content-calendar — Generate Weekly Content Calendar
Generate a 1-week or 4-week content calendar for Panguard AI marketing.
Input
- Duration: "1 week" (default) or "4 weeks"
- Optional focus: product launch, feature highlight, community growth, etc.
Calendar Format
For each day, specify: | Day | Platform | Type | Topic | Target Keyword | Status |
Platform Schedule
- Mon: Twitter (product tip) + Blog draft start
- Tue: LinkedIn (thought leadership) + Twitter (threat intel)
- Wed: Twitter (behind the scenes) + Blog publish
- Thu: LinkedIn (industry insight) + Twitter (comparison)
- Fri: Twitter (community) + Blog draft start
- Sat: Blog publish + Reddit/HN if appropriate
- Sun: Rest / plan next week
Content Pillars (rotate)
- Product Education — How to use Scan, Guard, Chat, Trap, Report
- Threat Intelligence — Real threat trends, ATR rule spotlights
- Open Source — ATR contributions, community milestones
- Compliance — TCSA, ISO 27001, SOC 2 automation tips
- Developer Experience — CLI tips, MCP integration, CI/CD setup
- Industry POV — Why SMBs are targets, AI security landscape
SEO Keywords to Target (rotate across blog posts)
- "server security tool for small business"
- "endpoint protection for developers"
- "free server security scan"
- "AI security monitoring CLI"
- "sigma rules explained"
- "YARA rules tutorial"
- "AI agent security threats"
- "open source SIEM alternative"
- "taiwan TCSA compliance"
- "SOC 2 compliance automation"
Output
Return the calendar as a markdown table. Include direct links to use other skills:
- Use
/write-blog <topic>to generate blog posts - Use
/write-twitter <topic>to generate tweets - Use
/write-linkedin <topic>to generate LinkedIn posts
Context
Read packages/website/src/data/blog-posts.ts and packages/website/src/data/changelog-entries.ts to avoid duplicating existing content and to find inspiration from recent product changes.
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 · 58 lines · 0 tokens per session scan A e747806c8870
content-calendar is a command published in the GitHub repository panguard-ai/panguard-ai (67 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 488 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.
content-calendar compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| content-calendarpanguard-ai/panguard-ai | Command | 67 | today | MIT | A | 0 | Claude Code |
| checklistgithub/spec-kit | Command | 148k | today | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | today | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | today | MIT | A | 13 | Claude Code |
| convergegithub/spec-kit | Command | 148k | today | MIT | A | 35 | Claude Code |
| speckit.bug.testgithub/spec-kit | Command | 148k | today | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | today | MIT | A | 26 | Claude Code |