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 equinor/fusion-skills --skill fusion-skillsgit clone --depth 1 https://github.com/equinor/fusion-skillsWrote 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/equinor/fusion-skills/fusion-skills)<a href="https://agentmods.dev/skills/equinor/fusion-skills/fusion-skills"><img src="https://agentmods.dev/badge/skills/equinor/fusion-skills/fusion-skills/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/equinor/fusion-skills/fusion-skills"><img src="https://agentmods.dev/badge/skills/equinor/fusion-skills/fusion-skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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 | $0.00084 | $0.00934 |
| Opus 5 | $0.00042 | $0.00467 |
| Sonnet 5 | $0.00017 | $0.00187 |
| Haiku 4.5 | $0.00008 | $0.00093 |
Grade A, and why
fusion-skills 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 7d 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fusion Skills
Skill lifecycle entrypoint. Resolve intent, engage the right agent.
Loading behavior
Load ONLY the routed agent file. References are loaded on-demand by the agent when it needs them (e.g., skill-catalog.md only on MCP failure, sync-workflows.md only in setup mode). Do not preload all agents or all references.
MCP tools
This skill uses mcp_fusion_skills — the Fusion MCP tool that handles both skill discovery and lifecycle operations:
- Discovery (
intent: query): semantic search over the skills index by description or task. - Inventory (
intent: inventory): list installed skills. - Lifecycle (
intent: install | update | remove): advisory commands for managing skills.
Routing
| Intent | Agent |
|---|---|
| Find or discover the right skill; list installed skills | agents/discovery.agent.md |
| Install, update, remove, or check skills; set up automation | agents/greenkeeper.agent.md |
| Create, author, or improve a skill | agents/author.agent.md |
| Inspect a skill for quality issues, or report a skill failure | agents/warden.agent.md |
If the user was routed here from the fusion main gate with a partially-resolved intent (e.g., "skills"), proceed directly to the most likely agent without re-asking the top-level question.
If intent is genuinely unclear and the user was not already asked a clarifying question, ask one question: "Are you looking to find a skill, install or update one, create your own, or report a problem with one?"
Compound intents: If the request spans multiple agents (e.g., "inspect this skill and fix the issues"), run agents sequentially. Pass the output of the first agent as context to the second.
Loop prevention: If you were activated from the fusion main gate, do not redirect back to fusion. Handle the request within your agents or state that it is out of scope.
Out of scope: Resolving GitHub issues, reviewing PRs, planning task breakdowns, or authoring GitHub issues. Direct the user to the relevant installed skill or the fusion main gate — but never re-route back to fusion if you were activated from there.
What ships with it
9 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.
- agents/author.agent.md 3.0 KB
- agents/discovery.agent.md 4.0 KB
- agents/greenkeeper.agent.md 5.2 KB
- agents/warden.agent.md 6.8 KB
- assets/issue-templates/skill-workflow-failure-bug.md 482 B
- assets/workflows/skills-sync.yml.md 1.2 KB
- references/follow-up-questions.md 948 B
- references/skill-catalog.md 2.4 KB
- references/sync-workflows.md 3.1 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.
- 7d ago First seen · 79 lines · 84 tokens per session scan A f8632bcc8339
fusion-skills is a skill published in the GitHub repository equinor/fusion-skills (1 stars, last pushed 2d ago), licensed MIT. It adds 84 tokens to every session and 934 once invoked, about $0.0004 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 2026-09-03.
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