Borrowing it
Nothing to install: this file belongs to like-a-freedom/rusty-intervals-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/like-a-freedom/rusty-intervals-mcp/master/.agents/skills/mcp-design/SKILL.mdgit clone --depth 1 https://github.com/like-a-freedom/rusty-intervals-mcpWrote 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/like-a-freedom/rusty-intervals-mcp/mcp-design)<a href="https://agentmods.dev/skills/like-a-freedom/rusty-intervals-mcp/mcp-design"><img src="https://agentmods.dev/badge/skills/like-a-freedom/rusty-intervals-mcp/mcp-design/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/like-a-freedom/rusty-intervals-mcp/mcp-design"><img src="https://agentmods.dev/badge/skills/like-a-freedom/rusty-intervals-mcp/mcp-design.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 | $0.00026 | $0.02317 |
| Opus 5 | $0.00013 | $0.01158 |
| Sonnet 5 | $0.00005 | $0.00463 |
| Haiku 4.5 | $0.00003 | $0.00232 |
Grade A, and why
mcp-design 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 10d 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 10d ago First seen · 270 lines · 26 tokens per session scan A f1d85f0d46d8
mcp-design is a skill published in the GitHub repository like-a-freedom/rusty-intervals-mcp (4 stars, last pushed 1mo ago), with no licence file. It adds 26 tokens to every session and 2,317 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.
Other skills, from other repositories
section-11
Evidence-based endurance coaching protocol (v11.66). Use when analyzing training data, reviewing sessions, generating pre/post-workout reports, planning workouts, answering training questions, or giving endurance coaching advice. Always read or fetch athlete JSON data before responding to any training question.
montis-coaching
Interpret authorized Montis.icu and Intervals.icu endurance data, generate governed coaching decisions, analyze activities, plan training, and safely manage calendar workflows.
gemini-deep-research
Perform complex, long-running research tasks using Gemini Deep Research Agent.
icuvisor-training
Use when answering endurance training questions with icuvisor MCP tools and intervals.icu data. Keeps answers grounded in tool results, handles athlete-local dates, stale data, subjective scales, safe writes, and workout/calendar workflows.
training-plan-generation
Cycling training plan and workout generation. Use when the user wants to create or adjust a weekly plan, select or prescribe workouts, or adapt sessions for fatigue, recovery, or race proximity. Do NOT use for pure analysis, assessment, or summary requests ("how is my current situation", "summarize my week").…
race
Prepare pacing, nutrition, equipment, cutoffs, and contingencies for a race.