Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add haabe/mycelium/plugin install myceliumWrote 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/haabe/mycelium/fan-out)<a href="https://agentmods.dev/skills/haabe/mycelium/fan-out"><img src="https://agentmods.dev/badge/skills/haabe/mycelium/fan-out.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 | $0.00027 | $0.00523 |
| Opus 5 | $0.00014 | $0.00262 |
| Sonnet 5 | $0.00005 | $0.00105 |
| Haiku 4.5 | $0.00003 | $0.00052 |
Grade A, and why
fan-out 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.
What it actually says
Fan-Out / Fan-In Orchestration
When to Use
- OST has 2+ solutions for the same opportunity that need parallel exploration
- Independent delivery work items that can be parallelized
- Multiple research streams needed simultaneously
Workflow
1. Prepare (Lead Agent)
- Read .claude/canvas/opportunities.yml
- Identify solutions needing parallel work
- For each: identify riskiest assumption and design test
2. Fan-Out (Spawn Workers)
For each solution:
- Spawn subagent or Agent Team member
- Provide: clear task, read-only canvas context, worktree isolation, time bound
- Each worker runs independently
3. Fan-In (Collect Results)
- Collect all worker results
- Update ICE scores in canvas
- Run
/mycelium:bias-checkon combined findings - Select winner(s) based on evidence
- Log decision in .claude/harness/decision-log.md
Leaf Bakeoff Mode
When comparing competing OST leaves for the same opportunity:
- Each worker returns a structured scorecard (Four Risks + ICE + assumption test result + segment fit)
- Lead agent applies winner selection rules: clear winner (>20% ICE delta), close race (tiebreaker), segment split (both advance), both fail (archive and re-evaluate)
- Losers are archived to
.claude/canvas/archived-solutions.ymlwith full evidence snapshot
See ${CLAUDE_PLUGIN_ROOT}/orchestration/leaf-bakeoff.md for the complete bakeoff protocol.
Rules
- Workers NEVER write to canvas (lead agent does)
- Workers NEVER progress diamonds
- Lead agent ALWAYS runs bias check on combined results
- Minimum 2 workers for meaningful comparison
- Maximum 3 leaves per bakeoff (respects L3 WIP ceiling)
See ${CLAUDE_PLUGIN_ROOT}/orchestration/agent-teams.md for full orchestration patterns.
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 · 54 lines · 27 tokens per session scan A ade6396f7edc
fan-out is a skill published in the GitHub repository haabe/mycelium (45 stars, last pushed 2d ago), licensed MIT. It adds 27 tokens to every session and 523 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.
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