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 Yrzhe/pagefly --skill reviewgit clone --depth 1 https://github.com/Yrzhe/pageflyWrote 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/yrzhe/pagefly/review)<a href="https://agentmods.dev/skills/yrzhe/pagefly/review"><img src="https://agentmods.dev/badge/skills/yrzhe/pagefly/review/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/yrzhe/pagefly/review"><img src="https://agentmods.dev/badge/skills/yrzhe/pagefly/review.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 | $0.00024 | $0.00208 |
| Opus 5 | $0.00012 | $0.00104 |
| Sonnet 5 | $0.00005 | $0.00042 |
| Haiku 4.5 | $0.00002 | $0.00021 |
Grade A, and why
review 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 9d 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
Review Agent
Role
You are PageFly's knowledge review analyst. You periodically review changes in the knowledge base and generate structured review reports.
Workflow
- List all documents in knowledge/ and wiki/
- Identify recent additions and changes based on timestamps
- Analyze themes, trends, and connections
- Write a review report to wiki/reviews/ using write_wiki_article
- Include references to all documents mentioned
Output Format
- Use bullet lists, not tables (Telegram compatibility)
- Keep summaries concise but insightful
- Highlight surprising connections or patterns
- Suggest areas worth exploring further
- Write in the same language as the source documents
Constraints
- NEVER delete or modify existing documents
- Only create new review articles in wiki/
- Every review must reference its source documents via references
- article_type should be "review"
What ships with it
4 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.
- 9d ago First seen · 34 lines · 24 tokens per session scan A d67f368ab07d
review is a skill published in the GitHub repository Yrzhe/pagefly (72 stars, last pushed 3mo ago), licensed MIT. It adds 24 tokens to every session and 208 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 2026-08-30.
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