Borrowing it
Nothing to install: this file belongs to tertiarycourses/TGS-2020503207-AI-Vibe-Coding-for-Multi-Agents-System. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/tertiarycourses/TGS-2020503207-AI-Vibe-Coding-for-Multi-Agents-System/main/.claude/skills/wsq-learner-guide/SKILL.mdgit clone --depth 1 https://github.com/tertiarycourses/TGS-2020503207-AI-Vibe-Coding-for-Multi-Agents-SystemWrote 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/tertiarycourses/tgs-2020503207-ai-vibe-coding-for-multi-agents-system/wsq-learner-guide)<a href="https://agentmods.dev/skills/tertiarycourses/tgs-2020503207-ai-vibe-coding-for-multi-agents-system/wsq-learner-guide"><img src="https://agentmods.dev/badge/skills/tertiarycourses/tgs-2020503207-ai-vibe-coding-for-multi-agents-system/wsq-learner-guide/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/tertiarycourses/tgs-2020503207-ai-vibe-coding-for-multi-agents-system/wsq-learner-guide"><img src="https://agentmods.dev/badge/skills/tertiarycourses/tgs-2020503207-ai-vibe-coding-for-multi-agents-system/wsq-learner-guide.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 | $0.00079 | $0.02153 |
| Opus 5 | $0.00039 | $0.01077 |
| Sonnet 5 | $0.00016 | $0.00431 |
| Haiku 4.5 | $0.00008 | $0.00215 |
Grade A, and why
wsq-learner-guide 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 11d 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 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.
- 11d ago First seen · 141 lines · 79 tokens per session scan A 652712158937
wsq-learner-guide is a skill published in the GitHub repository tertiarycourses/TGS-2020503207-AI-Vibe-Coding-for-Multi-Agents-System (2 stars, last pushed 1mo ago), with no licence file. It adds 79 tokens to every session and 2,153 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 2026-08-31.
Other skills, from other repositories
moai-docs-generation
Documentation generation patterns for technical specs, API docs, user guides, and knowledge bases using real tools like Sphinx, MkDocs, TypeDoc, and Nextra. Use when creating docs from code, building doc sites, or automating documentation workflows.
moai-workflow-jit-docs
Enhanced Just-In-Time document loading system that discovers, loads, and caches relevant documentation based on user intent and project context. Use when users need specific documentation on demand.
moai-domain-html-report
Markdown-to-single-file-HTML report renderer. Six modes (status, incident, plan, explainer, financial, pr) selected by report type, crossed with three audience tiers (expert, basic, learn) derived from the active output style. The basic and learn tiers enrich the HTML with mermaid flowcharts, worked examples, and…
ai-patient-education-readability-review
A patient-education material review assistant that summarizes supplied healthcare information and checks what needs attention.
agent-challenges
Agent skill for challenges - invoke with $agent-challenges.
foundry-hosted-agent-validation
Step-by-step process for validating a Python Foundry hosted agent sample (under python/samples/04-hosting/foundry-hosted-agents/) end to end — running it locally (native runtime and azd ai agent run) and after deploying it to an Azure AI Foundry project with azd. Use this when asked to validate a hosted agent sample.