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/microwind/ai-skills/observer-patternnpx skills add microwind/ai-skills --skill observer-patterngit clone --depth 1 https://github.com/microwind/ai-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/microwind/ai-skills/observer-pattern)<a href="https://agentmods.dev/skills/microwind/ai-skills/observer-pattern"><img src="https://agentmods.dev/badge/skills/microwind/ai-skills/observer-pattern.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 | $0.00043 | $0.04633 |
| Opus 5 | $0.00022 | $0.02316 |
| Sonnet 5 | $0.00009 | $0.00927 |
| Haiku 4.5 | $0.00004 | $0.00463 |
Grade A, and why
观察者模式 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 4d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
3 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.
- 4d ago First seen · 719 lines · 43 tokens per session scan A ba2fbd004938
观察者模式 is a skill published in the GitHub repository microwind/ai-skills (75 stars, last pushed 3mo ago), with no licence file. It adds 43 tokens to every session and 4,633 once invoked, about $0.0002 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
super-design
Use when the user asks you to build, style, theme, refine, audit, or recreate UI — or uploads a screenshot to rebuild. Reads DESIGN.md as a closed token layer, detects the project's framework (Tailwind v4/v3, ShadCN, MUI, Radix, Geist), and enforces production design rules (tokens only, full state matrix, WCAG 2.2 AA…
noosphere-memory-hermes
Set up and use the Noosphere memory provider in Hermes Agent. Use when a user gives Hermes a Noosphere API key, asks to connect Hermes to Noosphere, configure durable memory, verify the provider, or troubleshoot Hermes Noosphere memory setup.
noosphere-memory
Use when Codex should recall, inspect, or save durable knowledge in Noosphere through the configured MCP server.
tcx-calculation
Run reproducible financial calculations from governed Dataset slices or declared private inputs, reuse exact prior results, and bind decision-relevant metrics to recorded Calculation Runs. Use for returns, risk, valuation, regression, optimization, scenario, or portfolio math that can affect an investment artifact.
product-requirements-doc
Optional PRD methodology — loaded by the questioner agent when a feature request is vague or complex enough to warrant a structured product spec alongside task.md. Produces a PRD artifact that downstream design-author work can ground decisions in.
goga-apply
Materialize an architectural plan into the cells file structure.