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 skills/causify-ai/helpers/blog.create_tilnpx skills add causify-ai/helpers --skill blog.create_tilgit clone --depth 1 https://github.com/causify-ai/helpersWrote 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/skills/causify-ai/helpers/blog.create_til)<a href="https://agentmods.dev/skills/causify-ai/helpers/blog.create_til"><img src="https://agentmods.dev/badge/skills/causify-ai/helpers/blog.create_til.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 | $0.00008 | $0.00399 |
| Opus 5 | $0.00004 | $0.00199 |
| Sonnet 5 | $0.00002 | $0.00080 |
| Haiku 4.5 | $0.00001 | $0.00040 |
Grade A, and why
blog.create_til 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 5d 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
Goal
Write a concise, engaging, and educational "Today I Learned" (TIL) blog post about the topic / content from the user
Structure
- Title
- What I Learned
- Why It Matters
- Example / Demonstration
- Key Takeaways
- References or Further Reading
- The post should:
- Start with a short introduction explaining what I learned and why it caught my attention
- Clearly explain the concept in simple language suitable for software engineers, tech enthusiasts, or curious readers
- Include a practical example, code snippet, or real-world use case where appropriate
- Highlight any surprising insights, common misconceptions, or lessons learned during the discovery process
- End with key takeaways and actionable advice for readers who want to explore the topic further
Use Front Matter and TLDR
- Add front matter as in
.claude/skills/blog.rules.md## Front Matter (YAML) - Add TL;DR as in
.claude/skills/blog.rules.md## TL;DR Section
Tone
- Conversational and reflective
- Technical but accessible
- Curious and educational
Length
- Keep the post between 500–1000 words and focus on clarity, practical value, and genuine learning rather than exhaustive coverage
Formatting Rules
-
Make sure to write using bullet points
-
Follow the rules in:
.claude/skills/blog.rules.md.claude/skills/markdown.rules.md.claude/skills/text.rules.md
Beautify
- Run a command to format the code for proper visualization
> prettier --tab-width 4 --prose-wrap always --print-width 80 -w <FILE>
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.
- 5d ago First seen · 64 lines · 8 tokens per session scan A 99510b89d955
blog.create_til is a skill published in the GitHub repository causify-ai/helpers (145 stars, last pushed yesterday), licensed Apache-2.0. It adds 8 tokens to every session and 399 once invoked, about $0.0000 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 2026-08-30.
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