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 wemwi/skill-library --skill global-mcp-frameworkgit clone --depth 1 https://github.com/wemwi/skill-libraryWrote 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/wemwi/skill-library/global-mcp-framework)<a href="https://agentmods.dev/skills/wemwi/skill-library/global-mcp-framework"><img src="https://agentmods.dev/badge/skills/wemwi/skill-library/global-mcp-framework/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/wemwi/skill-library/global-mcp-framework"><img src="https://agentmods.dev/badge/skills/wemwi/skill-library/global-mcp-framework.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 | $0.00222 | $0.02898 |
| Opus 5.5 | $0.00089 | $0.01159 |
| Sonnet 5.5 | $0.00044 | $0.00580 |
| Haiku 4.5 | $0.00022 | $0.00290 |
Grade A, and why
global-mcp-framework 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 today.
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
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
17 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/empty-ai.js 710 B runs code
- assets/hooks/pre-push-gate.sh 2.3 KB runs code
- assets/hooks/README.md 942 B
- assets/hooks/settings.json 254 B
- assets/package.json.template 500 B
- assets/provider-wiring.ts 1.8 KB runs code
- assets/README.template.md 1.1 KB
- assets/server.ts 2.4 KB runs code
- assets/tsconfig.json.template 377 B
- assets/wrangler.jsonc 1.7 KB
- references/auth.md 5.3 KB
- references/conventions.md 11 KB
- references/deploy.md 11 KB
- references/diagnostics.md 3.9 KB
- references/secrets.md 4.3 KB
- references/storage.md 6.3 KB
- references/transport.md 1.2 KB
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.
- today Changed · +1 lines · +17 tokens per session c438b0b82ac9
- 1mo ago First seen · 155 lines · 205 tokens per session scan A f2476277be7c
global-mcp-framework is a skill published in the GitHub repository wemwi/skill-library (1 stars, last pushed yesterday), with no licence file. It adds 222 tokens to every session and 2,898 once invoked, about $0.0009 per session on Opus 5.5. 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
offensive-container-escape
Container escape and breakout techniques targeting Docker, containerd, and Podman runtimes. Covers privileged container breakout via host filesystem mount and nsenter, Docker socket abuse through /var/run/docker.sock, Linux capability exploitation including CAPSYSADMIN, CAPSYSPTRACE, and CAPNETADMIN, cgroup v1…
offensive-cloud
Cloud security attack methodology covering AWS, Azure, and GCP. Includes credential harvesting (IMDS, /.aws, env vars, leaked CI secrets, instance roles), enumeration with cloud-specific tools (pacu, ScoutSuite, Prowler, ROADtools, gcpenum), privilege escalation paths (IAM PassRole, AssumeRole chains, Lambda/Functions…
agents-v2-py
Build container-based Foundry Agents with Azure AI Projects SDK (ImageBasedHostedAgentDefinition). Use when creating hosted agents with custom container images in Azure AI Foundry.
pier-cloud
This skill should be used when the user needs to consume the Pier Cloud (Lighthouse) API for cloud cost management — including JWT authentication, listing contexts, workspaces, workspace groups, and FinOps data views. Trigger whenever there is a need to integrate, automate, or debug calls to the Pier Cloud platform…
datarobot-workload-api
Use when the user wants to create, configure, scale, debug, observe, or roll out container workloads on DataRobot's Workload API. Triggers: deploy a container as a managed service; list/start/stop workloads; change replica counts or autoscaling; pick CPU/GPU compute bundles; inject DataRobot credentials as env vars…
ml-pipeline
Use when building or operating a machine learning pipeline. Covers feature engineering, training reproducibility, train/serve skew, deployment, monitoring for drift, and retraining. Trigger on "model worked offline but fails in production", "training runs aren't reproducible", "detect data drift", "set up retraining".…