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/dokkabei97/forged-claude-code/content-repurposegit clone --depth 1 https://github.com/Dokkabei97/forged-claude-codeWrote 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/dokkabei97/forged-claude-code/content-repurpose)<a href="https://agentmods.dev/commands/dokkabei97/forged-claude-code/content-repurpose"><img src="https://agentmods.dev/badge/commands/dokkabei97/forged-claude-code/content-repurpose.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 | $0.00029 | $0.00923 |
| Opus 5 | $0.00015 | $0.00462 |
| Sonnet 5 | $0.00006 | $0.00185 |
| Haiku 4.5 | $0.00003 | $0.00092 |
Grade A, and why
content-repurpose 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 4d 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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/content-repurpose - Content Multi-Format Converter
Triggers
- When a blog post needs to be shared across channels
- When maximizing content ROI from a single piece
- When creating channel-specific variations
Usage
/content-repurpose [content file or URL]
/content-repurpose blog/my-post.md
/content-repurpose --format twitter blog/my-post.md
/content-repurpose --format all blog/my-post.md
Behavioral Flow
Phase 1: Source Analysis
Read and analyze the source content:
1. Identify core message (1 sentence)
2. Extract key points (3-5 bullets)
3. Find quotable lines
4. Identify data points / statistics
5. Determine target audience
Phase 2: Generate Formats
Twitter/X Thread (5-10 tweets):
Tweet 1: Hook (curiosity gap or bold statement)
Tweet 2-8: Key points (one idea per tweet)
Tweet 9: Summary / takeaway
Tweet 10: CTA + link to full content
Rules:
- Each tweet < 280 chars
- Use line breaks for readability
- Include 1-2 relevant hashtags on last tweet only
- Start thread with a hook, not "Thread 🧵"
LinkedIn Post:
[Hook — first 2 lines visible before "see more"]
[3-5 key insights with line breaks between each]
[Personal take or lesson learned]
[CTA — question to drive engagement]
[3-5 relevant hashtags]
Rules:
- First 2 lines are CRITICAL (appear before fold)
- 1,300 chars optimal (max 3,000)
- Personal tone works best
- End with a question to boost comments
Newsletter Section:
## [Catchy Section Title]
[2-3 sentence summary of the key insight]
**Key takeaway**: [1 sentence]
[Read the full post →](link)
Rules:
- Scannable format
- Tease the value, don't reproduce the whole post
- Clear CTA to read full content
Short-Form Video Script (60 seconds):
[0-5s] HOOK: [Attention-grabbing opening line]
[5-15s] PROBLEM: [Relatable pain point]
[15-45s] INSIGHT: [2-3 key points from content]
[45-55s] TAKEAWAY: [Main lesson]
[55-60s] CTA: [Follow for more / Link in bio]
Rules:
- Front-load the hook (first 3 seconds decide)
- Speak conversationally
- One idea per section
- End with clear CTA
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.
- 4d ago First seen · 155 lines · 29 tokens per session scan A 5cacd4b8b779
content-repurpose is a command published in the GitHub repository Dokkabei97/forged-claude-code (2 stars, last pushed 6mo ago), licensed MIT. It adds 29 tokens to every session and 923 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
lesson-capture
Record structured lessons after significant tasks. Builds a persistent knowledge base that improves future agent performance. Run with an optional summary or use review to read past lessons.
export-clean
Strip internal-only elements (version drawer, review notes) from a staging HTML file to produce a clean export ready for CMS upload or public sharing.
redbeacon-diagnose
诊断 — 「这期文案/图不行」时，反推问题出在定位/选题/文案预设/图片哪个节点，再对话调准.
intel-scan
Weekly intelligence gathering for the {{COMPANYNAME}} content engine. Run on Sunday evening or Monday morning before content planning.
growth-plan
Turn diagnosis into a sized greenfield opportunity map + a sequenced, mechanism-driven capture plan to overtake competitors.
content-status
Scan all content directories and report status of drafts, ideas, and published content.