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 synthesisengineering/synthesis-skills --skill synthesis-article-refreshgit clone --depth 1 https://github.com/synthesisengineering/synthesis-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/synthesisengineering/synthesis-skills/synthesis-article-refresh)<a href="https://agentmods.dev/skills/synthesisengineering/synthesis-skills/synthesis-article-refresh"><img src="https://agentmods.dev/badge/skills/synthesisengineering/synthesis-skills/synthesis-article-refresh/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/synthesisengineering/synthesis-skills/synthesis-article-refresh"><img src="https://agentmods.dev/badge/skills/synthesisengineering/synthesis-skills/synthesis-article-refresh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00070 | $0.01852 |
| Opus 5 | $0.00035 | $0.00926 |
| Sonnet 5 | $0.00014 | $0.00370 |
| Haiku 4.5 | $0.00007 | $0.00185 |
Grade A, and why
synthesis-article-refresh 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 8d 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 — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Article Refresh
Revitalize a blog post into its optimal version — what it could have been with perfect clarity, complete information available at the time, and ideal execution — while maintaining absolute temporal authenticity.
Quick Start
- Obtain the blog post URL (contains the publication date) and its complete original content.
- Apply the full framework below to create an enhanced version that significantly improves value, clarity, and reader engagement while maintaining absolute temporal integrity.
- The post must appear to have been written entirely on its original publication date.
- Provide the complete enhanced post as a document artifact.
Initial Information Required
Gather before starting (ask if not provided):
- The URL of the blog post (contains the publication date)
- The complete original content (pasted directly or uploaded with formatting preserved)
- Any supporting materials (PDF of full web page, markdown with hyperlinks preserved)
- Context about the original post's purpose, target audience, or performance metrics
- Any specific areas of concern or goals for the enhancement
Deep Analysis Framework
Content Architecture Analysis
- Core Value Proposition: What unique insight or value does this post deliver?
- Audience Alignment: Who was the intended reader, and how well does the content serve them?
- Argument Structure: How effectively does the post build and support its main points?
- Knowledge Gaps: What relevant information (available at the time) is missing?
- Emotional Journey: What feeling or transformation should the reader experience?
Voice and Style Profile
- Distinctive Elements: Identify specific phrases, patterns, or techniques that define the author's voice
- Rhetorical Devices: Note use of metaphors, analogies, questions, or other devices
- Technical Register: Assess the level of technical detail and jargon usage
- Personal Elements: Identify how personal experiences or perspectives are incorporated
- Engagement Techniques: How does the author connect with and involve readers?
What ships with it
1 file 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.
- 8d ago First seen · 205 lines · 70 tokens per session scan A 2288879027c1
synthesis-article-refresh is a skill published in the GitHub repository synthesisengineering/synthesis-skills (18 stars, last pushed yesterday), licensed Apache-2.0. It adds 70 tokens to every session and 1,852 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 2026-08-30.
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