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 skills add sablier-labs/agent-skills --skill sablier-writinggit clone --depth 1 https://github.com/sablier-labs/agent-skillsWrote 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/sablier-labs/agent-skills/sablier-writing)<a href="https://agentmods.dev/skills/sablier-labs/agent-skills/sablier-writing"><img src="https://agentmods.dev/badge/skills/sablier-labs/agent-skills/sablier-writing/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/skills/sablier-labs/agent-skills/sablier-writing"><img src="https://agentmods.dev/badge/skills/sablier-labs/agent-skills/sablier-writing.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 | $0.00065 | $0.01178 |
| Opus 5 | $0.00032 | $0.00589 |
| Sonnet 5 | $0.00013 | $0.00236 |
| Haiku 4.5 | $0.00006 | $0.00118 |
Grade A, and why
sablier-writing 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 12d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- writing — 86% identical, 40 lines differ
How it starts
The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Writing Skill
Create written content that represents the Sablier brand—informative, confident, and focused on real value rather than hype. This skill covers blog posts, case studies, and X/Twitter content.
Before Writing Any Content
Load shared brand references from the skill's references/ directory:
- Read
./references/brand-voice.md— Sablier's voice and style - Read
./references/company-profile.md— products, metrics, positioning - Read
./references/icp.md— who the audience is - Reference
./references/voice-examples.md— past content for consistency - Fetch docs if needed — use
https://docs.sablier.com/llms.txtfor product details
Content Types
Blog Posts
For long-form content: product announcements, educational articles, comparisons, technical deep dives.
Load detailed guidance: ./references/blog-posts.md
Quick reference for post types:
| Type | Length | Purpose |
|---|---|---|
| Product Announcement | 800-1500w | Introduce new features/products |
| Educational | 1000-2500w | Teach concepts, best practices |
| Case Study | 600-1000w | Customer success stories |
| Comparison | 1000-2000w | Compare approaches/solutions |
| Technical Deep Dive | 1500-3000w | Developer-focused technical docs |
Case Studies
For customer success stories documenting how organizations use Sablier.
Load detailed guidance: ./references/case-studies.md
Standard structure:
- About [Customer] — 2-3 sentences
- The Challenge — what problem, why it mattered
- The Solution — why Sablier, how implemented
- The Results — quantifiable outcomes
- Customer Quote — direct quote if available
- Key Takeaway — one actionable insight
X/Twitter Posts
For social media content: announcements, educational threads, social proof, hot takes.
Load detailed guidance: ./references/x-twitter.md
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 146 lines · 65 tokens per session scan A 1a2b7ee37c13
sablier-writing is a skill published in the GitHub repository sablier-labs/agent-skills (9 stars, last pushed 1mo ago), licensed MIT. It adds 65 tokens to every session and 1,178 once invoked, about $0.0003 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.
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