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-016npx skills add legendtkl/agentic-skill-router --skill skill-016git 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-016)<a href="https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-016"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-016.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 | $0.00018 | $0.00519 |
| Opus 5 | $0.00009 | $0.00260 |
| Sonnet 5 | $0.00004 | $0.00104 |
| Haiku 4.5 | $0.00002 | $0.00052 |
Grade A, and why
skill-016 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
AI
GEMINI
[Environment]::SetEnvironmentVariable("GOOGLE_GEMINI_BASE_URL", "https://gateway.ai.cloudflare.com/v1/fa0c3c1818cd69ddde353943aa6212f6/demo/google-ai-studio")
[Environment]::SetEnvironmentVariable("GEMINI_API_KEY", "")
[Environment]::SetEnvironmentVariable("GEMINI_MODEL", "gemini-2.5-flash-lite")
CODEX
# windows_wsl_setup_acknowledged = true
# model = "gpt-5.1"
# [notice]
# hide_gpt5_1_migration_prompt = true
model_provider = "cf-gateway-gemini-compat"
model = "google-ai-studio/gemini-2.5-flash-lite"
model_reasoning_effort = "high"
disable_response_storage = true
preferred_auth_method = "apikey"
windows_wsl_setup_acknowledged = true
[model_providers.cf-gateway-gemini-compat]
name = "cf-gateway-gemini-compat"
base_url = "https://gateway.ai.cloudflare.com/v1/fa0c3c1818cd69ddde353943aa6212f6/demo/compat"
wire_api = "chat"
env_key = "GEMINI_API_KEY"
[mcp_servers.context7]
command = "npx"
args = ["-y", "@upstash/context7-mcp"]
[mcp_servers.playwright]
command = "npx"
args = ["@playwright/mcp@latest"]
[mcp_servers.chrome-devtools]
command = "cmd"
args = [
"/c",
"npx",
"-y",
"chrome-devtools-mcp@latest",
]
env = { SystemRoot="C:\\Windows", PROGRAMFILES="C:\\Program Files" }
startup_timeout_ms = 20_000
[mcp_servers.serena]
command = "uvx"
args = ["--from", "git+https://github.com/oraios/serena", "serena", "start-mcp-server", "--context", "codex"]
codex mcp add playwright npx "@playwright/mcp@latest"
codex mcp add context7 -- npx -y @upstash/context7-mcp
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 · 68 lines · 18 tokens per session scan A 8cd46841449e
skill-016 is a skill published in the GitHub repository legendtkl/agentic-skill-router (5 stars, last pushed 3mo ago), licensed MIT. It adds 18 tokens to every session and 519 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 2026-08-31.
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