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/legendtkl/agentic-skill-router/skill-040npx skills add legendtkl/agentic-skill-router --skill skill-040git 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-040)<a href="https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-040"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-040.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 5.1 | $0.00030 | $0.00224 |
| Opus 5 | $0.00015 | $0.00112 |
| Sonnet 5 | $0.00006 | $0.00045 |
| Haiku 4.5 | $0.00003 | $0.00022 |
Grade A, and why
skill-040 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 5d 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
Concurrent Rendering Orchestration (React 18)
Summary
Design and validate complex concurrent rendering workflows using useTransition, Suspense, and selective hydration to preserve responsiveness under heavy workloads.
Key Capabilities
- Model UI updates as urgent vs non-urgent and coordinate transitions across nested trees.
- Compose
Suspenseboundaries to avoid cascading stalls and over-suspension. - Implement selective hydration strategies that prioritize user-critical regions.
PhD-Level Challenges
- Prove liveness properties for a UI state machine under partial rendering.
- Construct a minimal cut set of
Suspenseboundaries for optimal TTI. - Derive empirical thresholds where
useTransitionimproves tail latency.
Acceptance Criteria
- Demonstrate a UI with nested
Suspenseboundaries and staged reveals. - Show consistent input responsiveness during large list updates.
- Provide a benchmark report before/after applying transitions.
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.
- 5d ago First seen · 28 lines · 30 tokens per session scan A 672491086c8c
skill-040 is a skill published in the GitHub repository legendtkl/agentic-skill-router (5 stars, last pushed 3mo ago), licensed MIT. It adds 30 tokens to every session and 224 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 2026-08-31.
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