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-118git 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-118)<a href="https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-118"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-118/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-118"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-118.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 | $0.00396 |
| Opus 5 | $0.00012 | $0.00198 |
| Sonnet 5 | $0.00005 | $0.00079 |
| Haiku 4.5 | $0.00002 | $0.00040 |
Grade A, and why
skill-118 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 7d 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
Mesh Processing
This skill aims to provide an all-encompassing solution for various tasks related to 3D mesh data processing. It covers an array of mesh operations, from geometric analysis to visual enhancements.
When to Use
Use this skill for:
- General Mesh Operations: Performing a wide variety of actions on 3D models, suitable for different applications.
- Industry Applications: Useful in engineering, gaming, and augmented reality contexts.
- Research and Development: Facilitating analysis and modifications for academic or industrial research.
Usage
The tools are provided as a Python module in the scripts/ directory. Depending on the specific task, the relevant tools can be imported and used accordingly.
Basic Workflow for Different Tasks
import sys
# Add skill path to sys.path
sys.path.append('/root/.claude/skills/mesh-processing/scripts')
from mesh_tool import MeshAnalyzer, MeshSmoother, MeshVisualizer
# Example for analysis
analyzer = MeshAnalyzer('/path/to/your/file.stl')
report = analyzer.analyze_largest_component()
# Example for smoothing
smoother = MeshSmoother('/path/to/your/file.stl')
smooth_mesh = smoother.smooth()
# Example for visualization
visualizer = MeshVisualizer('/path/to/your/file.stl')
visualizer.render()
Critical Notes
- Tool Variety: Each task has a specific tool; ensure you are using the right one for your needs.
- Formats and Compatibility: The tools aim to support common mesh formats like STL, OBJ, and PLY, but check compatibility before use.
- Performance Considerations: Heavy processing tasks may require optimization depending on the mesh complexity.
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.
- 7d ago First seen · 47 lines · 24 tokens per session scan A 154d7741be8b
skill-118 is a skill published in the GitHub repository legendtkl/agentic-skill-router (5 stars, last pushed 3mo ago), licensed MIT. It adds 24 tokens to every session and 396 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 2026-09-03.
Other skills, from other repositories
webgl-holographic-foil
A self-contained WebGL2 hero: thin-film interference over a crushed-foil surface whose palette shifts with the viewing angle; move the cursor to tilt the film.
general-video
Author or edit a custom HyperFrames composition when no specialized workflow fits, or when BRIEF.md sets flow: companion. Use for longer or multi-scene pieces, brand and sizzle reels, montages, static loops, static title cards, footage remixes, and freeform builds. Use motion-graphics instead for a short unnarrated…
html-ppt-hermes-cyber-terminal
OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.
html-ppt-taste-brutalist
16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill brutalist-skill (Tactical Telemetry mode).
diagnostic-stem-delivery
Audio production with diagnostic analysis, timecode parsing from documents, and verified export workflow.
chengfeng-check-updates
An environment manager for a video-editing system. It checks whether its skills and runtime—the software needed to run them—are installed and compatible.