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.
git clone --depth 1 https://github.com/duolahypercho/fusion-fableWrote 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/commands/duolahypercho/fusion-fable/fusion-3)<a href="https://agentmods.dev/commands/duolahypercho/fusion-fable/fusion-3"><img src="https://agentmods.dev/badge/commands/duolahypercho/fusion-fable/fusion-3/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/commands/duolahypercho/fusion-fable/fusion-3"><img src="https://agentmods.dev/badge/commands/duolahypercho/fusion-fable/fusion-3.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 | $0.00052 | $0.00393 |
| Opus 5 | $0.00026 | $0.00197 |
| Sonnet 5 | $0.00010 | $0.00079 |
| Haiku 4.5 | $0.00005 | $0.00039 |
Grade A, and why
fusion-3 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.
What it actually says
Invoke the fusion skill on the task below, forcing the richest panel opus4.8-gpt5.5-gemini3.1pro:
Opus 4.8 (Agent subagent), GPT-5.5 (via codex exec), and Gemini 3.1 Pro (via agy, pseudo-TTY) answer
the SAME prompt IN PARALLEL, each independently with web + bash and none seeing the others' work → Opus 4.8
judges all three → Opus writes the final answer grounded in the analysis.
Follow the skill's SKILL.md exactly (preflight → fan out in parallel → judge picking the track that fits the task → grounded final deliverable → save provenance → present). For a research/analysis task, present the standard audit-trail sections (Consensus / Contradictions / Partial coverage / Unique insights / Blind spots); for a code/artifact task, run both candidates and merge them into one working result with a merge rationale. Pass the task verbatim to all three; no "lenses". Three families, one of each — do not add a second Opus run.
This command targets the FULL panel but degrades gracefully: if codex or agy is missing or a panelist
fails/times out, drop it, note the degraded panel in the output, and finish with what remains
(opus4.8-gpt5.5, then ultimately opus4.8-4.8) rather than aborting.
Task: $ARGUMENTS
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 · 22 lines · 52 tokens per session scan A d124465d4701
fusion-3 is a command published in the GitHub repository duolahypercho/fusion-fable (471 stars, last pushed 1mo ago), licensed MIT. It adds 52 tokens to every session and 393 once invoked, about $0.0003 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
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.