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 legendtkl/agentic-skill-router --skill skill-066git clone --depth 1 https://github.com/legendtkl/agentic-skill-routerWrote 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/legendtkl/agentic-skill-router/skill-066)<a href="https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-066"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-066/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/legendtkl/agentic-skill-router/skill-066"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-066.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 | $0.00042 | $0.00457 |
| Opus 5 | $0.00021 | $0.00229 |
| Sonnet 5 | $0.00008 | $0.00091 |
| Haiku 4.5 | $0.00004 | $0.00046 |
Grade A, and why
skill-066 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 6d 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
Quantum Teleportation Simulator
Overview
Quantum teleportation is a cornerstone of quantum information theory, enabling the transfer of quantum states between distant parties. This skill provides tools for simulating teleportation protocols, including analysis of fidelity and entanglement.
Installation
uv pip install teleportation-sim
Quick Start
from teleportation_sim import Teleportation
from qutip import *
# Initialize teleportation setup
teleport = Teleportation()
# Create an entangled pair
psi = BellState('Phi+') # Bell state |Φ+⟩
# Simulate teleportation
result = teleport.simulate(psi)
print(result)
Core Capabilities
1. Bell State Preparation
Prepare Bell states for teleportation:
# Create different Bell states
bell_state1 = BellState('Phi+')
bell_state2 = BellState('Psi-')
2. Teleportation Protocol Implementation
Implement teleportation protocols:
# Simulate the teleportation process
final_state = teleport.run_protocol(bell_state1, measurement='X')
3. Fidelity and Entanglement Analysis
Analyze the fidelity and entanglement of the process:
fidelity = teleport.calculate_fidelity(final_state)
entanglement = teleport.calculate_entanglement(final_state)
print(f'Fidelity: {fidelity}, Entanglement: {entanglement}')
4. Visualization of Results
Visualize the results of teleportation:
import matplotlib.pyplot as plt
# Visualize entanglement over time
teleport.visualize_entanglement()
plt.title('Entanglement During Teleportation')
plt.show()
Conclusion
The Quantum Teleportation Simulator skill allows users to explore the fascinating process of quantum teleportation, providing tools for simulation, analysis, and visualization, making it an excellent resource for those studying quantum communication.
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.
- 6d ago First seen · 81 lines · 42 tokens per session scan A ca14a2a75b2a
skill-066 is a skill published in the GitHub repository legendtkl/agentic-skill-router (5 stars, last pushed 3mo ago), licensed MIT. It adds 42 tokens to every session and 457 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 2026-09-03.
Other skills, from other repositories
html-ppt-zhangzara-pin-and-paper
A field-biology capstone on urban pollinator decline — the survey design, the data, the contribution, and the caveats. Built as a decision-grade coursework defense deck for faculty reviewers.
proof-writer
A tool for writing or checking rigorous mathematical proofs for claims such as theorems, lemmas, propositions, and corollaries.
tooluniverse-organic-chemistry
Organic chemistry reasoning guide for reaction product prediction, mechanism analysis (electrophilic/nucleophilic substitution, addition, elimination, pericyclic, radical), and spectroscopy interpretation (1H/13C NMR, IR, MS). Reasons from first principles (electron flow, kinetic vs thermodynamic) rather than…
scaffold-exercises
Scaffold a graded problem set with sections, problems, worked solutions, and short "why this matters" explainers across analytical, empirical, and coding types. Use when user says "make a problem set on X", "scaffold exercises for this lecture", "create practice problems", "generate homework with a solution key"…
edu-chem-reaction
A guide for turning a chemical reaction into a self-contained interactive 3D web demonstration. It shows molecules changing while also displaying the balanced equation, explanations, atom counts, and optionally an energy curve.
present-paper
Academic presentation preparation — paper-driven (journal club, grand rounds, seminar) and lecture/teaching decks (course material, workshop slides, conference talks). Analyzes source material, finds supporting references, drafts audience-adapted speaker scripts, generates or augments PPTX with speaker notes, and…