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 yaojingang/yao-geo-skills --skill yao-geo-article-friendlygit clone --depth 1 https://github.com/yaojingang/yao-geo-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/yaojingang/yao-geo-skills/yao-geo-article-friendly)<a href="https://agentmods.dev/skills/yaojingang/yao-geo-skills/yao-geo-article-friendly"><img src="https://agentmods.dev/badge/skills/yaojingang/yao-geo-skills/yao-geo-article-friendly/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/yaojingang/yao-geo-skills/yao-geo-article-friendly"><img src="https://agentmods.dev/badge/skills/yaojingang/yao-geo-skills/yao-geo-article-friendly.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 | $0.00072 | $0.00642 |
| Opus 5 | $0.00036 | $0.00321 |
| Sonnet 5 | $0.00014 | $0.00128 |
| Haiku 4.5 | $0.00007 | $0.00064 |
Grade A, and why
yao-geo-article-friendly 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 13d 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 — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Yao GEO Article Friendly
Use
Use when the user provides pasted article text or a local path and wants a GEO/AI 搜索友好化改造 with evidence, structure, readability, and before/after scoring.
Accepted inputs: pasted text, .md, .txt, .html, .htm, .docx, and .pdf when local extraction is available. If the article cannot be read, return a blocker and ask for pasted text.
Do not use for topic-only drafting, legal/compliance judgments, ranking promises, competitor attacks, takedown work, or unsupported statistics, sources, quotes, cases, or claims.
Required Reading
references/geo-article-transformation-method.md: weighted method, evidence rules, and validation.references/geo-output-contract.md: final Markdown structure, scoring, and change-note templates.
Workflow
- Resolve input and preserve the original title, claims, facts, examples, and tone. Default to
standarddepth. - Inventory core claims, evidence, data, quotes, cases, structure, entities, terms, and reusable passages.
- Score the original against the weighted GEO dimensions plus risk control; be conservative when sources, data口径, or quotes are missing.
- Rewrite by priority: evidence, structure, fluency, semantic density, authority signals, terminology, robustness, cross-domain links, and readability.
- Mark unsupported enhancements as
[建议补充...]; state facts only when original-supported or verified. - Return the optimized article, score report, change notes, supplement list, and risk notes.
- Verify original meaning, no fabrication, high-weight improvements, and natural readability.
Evidence Discipline
Use 原文支持, 外部已核验, and 建议补充 labels when provenance matters.
If current laws, platform rules, market data, rankings, product facts, or recent research are needed, verify them with current primary or authoritative sources before insertion. When verification is not possible, keep the claim as 建议补充.
Output Contract
Default artifact: one structured Markdown response containing:
What ships with it
11 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.
- agents/interface.yaml 1.0 KB
- evals/expected_artifacts.json 571 B
- evals/trigger_cases.json 640 B
- manifest.json 603 B
- references/geo-article-transformation-method.md 4.5 KB
- references/geo-output-contract.md 2.6 KB
- reports/artifact-design-profile.md 1.2 KB
- reports/output-risk-profile.md 1.6 KB
- reports/prompt-quality-profile.md 2.2 KB
- reports/reference-scan.md 1.5 KB
- templates/brief-template.md 743 B
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.
- 13d ago First seen · 57 lines · 72 tokens per session scan A 7c04b28ce28c
yao-geo-article-friendly is a skill published in the GitHub repository yaojingang/yao-geo-skills (742 stars, last pushed 1mo ago), licensed MIT. It adds 72 tokens to every session and 642 once invoked, about $0.0004 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.
Other skills, from other repositories
pipefy-process-intelligence
Use this skill when the user wants to analyze an existing pipe for improvement opportunities — automation gaps, manual bottlenecks, missing AI agents, field conditions, or adjacent processes. Acts as a process analyst: investigates, diagnoses, and improves the pipe in progressive rounds — each round delivers visible…
c
OpenPaw coordinator — routes requests to skills, manages memory, knows what's installed. Use /c for any task.
-21risk-automation
Automate 21risk tasks via Rube MCP (Composio). Always search tools first for current schemas.
-2chat-automation
Automate 2chat tasks via Rube MCP (Composio). Always search tools first for current schemas.
ably-automation
Automate Ably tasks via Rube MCP (Composio). Always search tools first for current schemas.
abstract-automation
Automate Abstract tasks via Rube MCP (Composio). Always search tools first for current schemas.