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-029git 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-029)<a href="https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-029"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-029.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 | $0.00021 | $0.00457 |
| Opus 5 | $0.00010 | $0.00229 |
| Sonnet 5 | $0.00004 | $0.00091 |
| Haiku 4.5 | $0.00002 | $0.00046 |
Grade A, and why
skill-029 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Enterprise Email Summarization Skill (Efficient)
This skill provides concise summaries of email threads, extracting essential points and action items to streamline communication in enterprise environments.
It is designed to improve productivity by reducing the time spent sifting through long email chains and ensuring important information is highlighted.
When to Invoke This Skill
Invoke when ANY of the following is true:
- The user needs a summary of a lengthy email thread to grasp its essential points quickly.
- Important action items need to be extracted to delegate tasks efficiently.
- Communication clarity is needed for team updates or reports based on email discussions.
Why Use This Skill?
Without this skill: users may miss critical information or spend excessive time reading through emails, leading to inefficiencies.
With this skill: a subagent:
- scans email threads for key themes and decisions
- identifies and highlights action items
- provides a structured summary that enhances understanding
Typical time savings: 40–70%.
Invocation
Use this format:
Task(subagent_type="enterprise-email-summarization", prompt="""
Email thread: <paste the email thread here>
Output requirements:
- Return a concise summary of key points and action items.
- Provide a list of highlighted decisions and responsible parties.
Constraints:
- Maintain the context and tone of the original emails.
- Avoid summarizing less relevant exchanges.
""")
Core Procedure (Must Follow)
Step 0 — Parse email content
- Extract:
- email threads (from, to, subject, body)
If the email thread is too long, prioritize extracting the most recent exchanges.
Step 1 — Identify key themes
- Analyze the content for recurring subjects and decisions made throughout the thread.
Step 2 — Extract action items
- Look for phrases indicating tasks or responsibilities and note who is accountable.
Step 3 — Format summary
- Create a clear, bullet-pointed summary of key points and action items for easy consumption.
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.
- 8d ago First seen · 67 lines · 21 tokens per session scan A 09572613c9d0
skill-029 is a skill published in the GitHub repository legendtkl/agentic-skill-router (5 stars, last pushed 3mo ago), licensed MIT. It adds 21 tokens to every session and 457 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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