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 commands/mihneaptu/opencode-fusion/fusion-setupgit clone --depth 1 https://github.com/mihneaptu/opencode-fusionWhat 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 | $0.00010 | $0.00188 |
| Opus 5 | $0.00005 | $0.00094 |
| Sonnet 5 | $0.00002 | $0.00038 |
| Haiku 4.5 | $0.00001 | $0.00019 |
Grade A, and why
fusion-setup 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 3d 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
Load and follow the fusion-setup skill to configure the Fusion agent team.
$ARGUMENTS
If arguments are empty, run the full interactive setup: offer the bundled subscription profiles first, then ask which model to use for each role (main/build, sidekick, explore, and the optional research/design/reviewer/vision specialists), then write the global config and install the agent prompts as the skill describes. If arguments name a subscription or profile (for example "opencode-go" or "use my GitHub Copilot subscription"), jump straight to the skill's Step 0 confirmation for that profile. If arguments describe a change (for example "reconfigure sidekick" or "change explore model"), treat them as the specific change the user wants and jump to the relevant part of the skill instead of re-running the whole interview.
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.
- 3d ago First seen · 11 lines · 10 tokens per session scan A 017809a29b4d
fusion-setup is a command published in the GitHub repository mihneaptu/opencode-fusion (216 stars, last pushed 9d ago), licensed MIT. It adds 10 tokens to every session and 188 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 2026-08-30.
Other commands, from other repositories
models-preset
Show current OMO model assignments in markdown tables.
session-info
Copy project path, session title, and session ID to clipboard (no LLM round-trip).
session-id
Copy the invoking session ID to clipboard (no LLM round-trip).
vscode
Open VS Code in the current project/worktree directory.
swarm
Decompose task into parallel subtasks and coordinate agents.
distill
Distill hot-tier model observations into the committed capability cards and the SKILL.md rankings block.